# NPerseus Research Lab > NPerseus is a Computer Science & Engineering research group at Delhi Technological University studying AI security, privacy, data hiding and multimedia forensics. Canonical site: https://nperseus.com Generated: 2026-09-05T11:12:47.047Z Provenance policy: Only human-reviewed public profiles and publication records, curated faculty sources, explicitly released projects, and reviewed patent/news records are included. Private registration fields and raw uploads are excluded. ## Faculty ### Dr. Rajeev Kumar - Role: Assistant Professor - Profile: https://nperseus.com/team/faculty/rajeev-kumar - Research interests: Privacy & Security of Deep Neural Networks; Reversible Data Hiding & Watermarking; Image & Text Steganography; Multimedia & Digital Forensics; Image Processing & Compression; Hyperspectral Imaging & Classification; Wireless Sensor Networks - Verified: 2026-09-05 Dr. Rajeev Kumar is an Assistant Professor in the Department of Computer Science and Engineering at Delhi Technological University, where he has served since 11 December 2020. He received a B.Tech. in Information Technology from Uttar Pradesh Technical University in 2007, and M.Tech. and Ph.D. degrees in Computer Engineering from the University of Delhi in 2012 and 2017, followed by postdoctoral research at Kyungil University, South Korea. His research spans privacy and security of neural networks, reversible data hiding and image/text steganography, multimedia forensics, image processing and compression, hyperspectral image classification, and energy-efficient wireless sensor networks. The submission “CLASP: CLIP-Aligned Semantic Poisoning for Class-Dispersive Misclassification” was accepted for oral presentation at the Women in Computer Vision (WiCV) workshop in conjunction with ECCV 2026. Profile projects: Curated profile project records; inclusion does not imply current activity or confirmed funding unless explicitly stated in the source. - RECAP — Reversible Embedding with Causal Assistance and Prediction; PI; DTU Young Faculty Grant; ₹5 lakh; approved 21 March 2025; currently listed ongoing - TagExDF — Explained Tagging System; Ki-Hyun Jung and Rajeev Kumar listed as PI/Co-PI; NRF Korea; 55 million KRW; sanctioned November 2021; status listed ongoing by DTU on 5 September 2026 - Development of immersive content forensic marking and watermarking technology; PI Ki-Hyun Jung; Rajeev Kumar, researcher; Korean Research Foundation; 24 million KRW; completed per current DTU profile Patents: - System and Method for Adaptive Notification Delivery Based on Cognitive Load and Contextual Parameters; Published; application 202511069771; https://client2021.nsllegal.com/Public/JPatent/PJ_15Aug2025.pdf - Hearing Aid System and Method for Context-Aware Alarm Detection and Personalized Biometric Feedback; Granted; application 202411103051; IN 578276; granted 2026-01-15; https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method for Securely Charging Electric Vehicle; Granted; application 202511054094; IN 588448; granted 2026-05-06; https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Context-Aware Dynamic Access Control of Interactive Interfaces in User Devices; Granted; application 202511069726; IN 582601; granted 2026-03-09; https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method to Engage a Player in a Game Simulation; Granted; application 202511028807; IN 599946; granted 2026-08-20; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2026%5C35_2026%5COfficial%20Journal%20%2835-2026%29%2028.08.2026%203rd%20docx.pdf - A System and Method for Prioritized Data Delivery; Granted; application 202511070240; IN 600475; granted 2026-08-25; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2026%5C35_2026%5COfficial%20Journal%20%2835-2026%29%2028.08.2026%203rd%20docx.pdf - Method and System for Identification and Correction of Poisoned Training Samples in Deep Neural Network; Published; application 202611018498; https://client2021.nsllegal.com/Public/JPatent/PJ_10Apr2026.pdf - Method and System for Detecting Virtual Private Network (VPN) Usage in a Communication Network; Granted; application 202511084334; IN 590173; granted 2026-05-25; https://www.dtu.ac.in/Web/rnd/Patents.html - Adaptive Audio Output System and Method Thereof; Granted; application 202511004867; IN 584506; granted 2026-03-23; https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Automatic Transmission of Authentication Code; Granted; application 202411054265; IN 564225; granted 2025-03-28; https://www.dtu.ac.in/Web/Departments/CSE/patents/Patents%20Granted.pdf - Method and System for Generating Dynamic Alert in a Messaging Platform; Granted; application 202411062294; IN 568874; granted 2025-07-21; https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Enhancing Handwritten Content on a Smart Board; Granted; application 202411080365; IN 567890; granted 2025-06-25; https://www.dtu.ac.in/Web/rnd/Patents.html - System for Underwater Object Detection and Method Thereof; Granted; application 202411077385; IN 575681; granted 2025-12-11; https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method for Secure Offline Face Verification; Published; application 202611045658; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - Federated Learning-Enabled Device for Dynamically Providing Personalized Content to a User; Published; application 202511058221; status source: Application publication in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Application publication and full inventor list are confirmed by the linked Patent Office journal. Published is a publication milestone, not a claim of current legal pendency or enforceability.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2025%5C27_2025%5COfficial%20Journal%20%2827-2025%29%2004.07.2025%29%201st%20part.pdf; institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - Multi-Signal Geo-Confidence and Temporal Biometric Attendance Authentication; Published; application 202611078107; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - Privacy-Preserving Face Representation System and Method; Published; application 202611006539; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - System and Method for Explainable-AI Guided Semantic Watermarking of Deep Neural Networks; Published; application 202611083599; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - Method and System for Adaptive Multi-Layer Detection of Money Mule Activity in Banking Cyber-Physical System; Published; application 202511117732; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - Method and System for Generating an Arrangement of a Set of Contacts; Published; application 202413071695; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr; institutional date-label conflict: https://www.dtu.ac.in/modules/facilities/people/faculty/view.php?uname=sachintaran - System and Method for Updating Group Profile Image based on Topic and Argument Engagement Analysis; Published; application 202511046026; status source: Application publication in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Application publication and full inventor list are confirmed by the linked Patent Office journal. Published is a publication milestone, not a claim of current legal pendency or enforceability.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2025%5C22_2025%5COfficial%20Journal%20%2822-2025%29%2030.05.2025%29%201st%20part.pdf; institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - Method and System for Automatically Determining Reward or Penalty Points to Calculate Insurance Premium; Published; application 202411000844; status source: Application publication in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Application publication and full inventor list are confirmed by the linked Patent Office journal. Published is a publication milestone, not a claim of current legal pendency or enforceability.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C05_2024%5COfficial%20Journal%20%2805-2024%29%2002.02.2024%201st%20part.pdf; institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr; institutional annual report: https://dtu.ac.in/Web/IQAC/ar/pdf/ar23-24_english.pdf - A System and Method for Providing Personalized Guidance during Image Capturing; Published; application 202311076162; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - System for Detecting and Mitigating Poisoning Attacks in an Artificial Intelligence Model; Published; application 202611000383; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - A System and Method for Intelligently Charging Built-in Wireless Earphones; Published; application 202311024642; status source: Application publication in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Application publication and full inventor list are confirmed by the linked Patent Office journal. Published is a publication milestone, not a claim of current legal pendency or enforceability.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C06_2024%5COfficial%20Journal%20%2806-2024%29%2009.02.2024%201st%20part.pdf; institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - System and Method for Adaptive Video Resolution Switching; Granted; application 202411089667; IN 591412; granted 2026-06-05; inventor evidence: Names as listed by linked source; https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method for Quantifying and Predicting the Resilience of Agro-Ecosystems; Granted; application 202511006121; IN 580179; granted 2026-02-06; inventor evidence: Names as listed by linked source; https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method for Hiding Data in Images; Granted; application 202411087764; IN 572628; granted 2025-10-27; inventor evidence: Names as listed by linked source; https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Filtering Out Recipients for Broadcast Messages Based on Their Emotional State and Message Contents; Granted; application 202211052145; IN 444018; granted 2023-08-09; inventor evidence: Names as listed by linked source; https://www.dtu.ac.in/Web/Departments/CSE/patents/Patents%20Granted.pdf - A System for Adaptive Selection of High-Resolution Communication and Super-Resolution Communication; Published; application 202311024708; inventor evidence: Names as listed by linked source; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C07_2024%5COfficial%20Journal%20%2807-2024%29%2016.02.2024%201st%20part.pdf - System and Method for Adaptive Multi-Factor Biometric Authentication with Dynamic Obfuscation; Granted; application 202511041924; IN 595454; status source: Grant notice in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Grant number and grant milestone are confirmed by the Patent Office grant notice published 17 July 2026; that issue date is not the exact grant date. Inventors and filing/publication dates follow the original application publication.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2026%5C29_2026%5COfficial%20Journal%20%2829-2026%29%2017.07.2026%203rd%20docx.pdf; institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr; government patent application journal: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2025%5C20_2025%5COfficial%20Journal%20%2820-2025%29%2016.05.2025%29%201st%20part.pdf - System and Method for Backdoor Detection in Neural Networks using Path Diversity Decay Measurement; Published; application 202611028303; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - AI-Driven Configuration Clustering and Blockchain Privacy System; Granted; application 202411097543; IN 595248; status source: Grant notice in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Grant number and grant milestone are confirmed by the Patent Office grant notice published 17 July 2026; that issue date is not the exact grant date. Inventors and filing/publication dates follow the original application publication.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2026%5C29_2026%5COfficial%20Journal%20%2829-2026%29%2017.07.2026%203rd%20docx.pdf; institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr; government patent application journal: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C52_2024%5COfficial%20Journal%20%2852-2024%29%2027.12.2024%201st%20docx.pdf - System and Method for Adaptation of Video or Playlist Thumbnails based on User Preferences; Granted; application 202311072158; IN 576746; status source: Listed as Granted in the DTU faculty profile; inventor evidence: Inventors listed in the original Patent Office application publication; Status and application identity are reported in the linked DTU faculty profile. Inventors are listed in the original Patent Office application publication. Exact grant date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr; original government application publication: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2023%5C51_2023%5COfficial%20Journal%20%2851-2023%29%2022.12.2023%201st%20part.pdf; institutional annual report: https://dtu.ac.in/Web/IQAC/ar/pdf/ar23-24_english.pdf - System and Method for Personalized Guidance for Image Capturing; Granted; application 202311024707; IN 574725; status source: Listed as Granted in the DTU faculty profile; inventor evidence: Inventors listed in the original Patent Office application publication; Status and application identity are reported in the linked DTU faculty profile. Inventors are listed in the original Patent Office application publication. Exact grant date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr; government patent application journal: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C07_2024%5COfficial%20Journal%20%2807-2024%29%2016.02.2024%201st%20part.pdf - Intelligently Hiding Personal Application User Interface (UI) Elements; Granted; application 202311053513; IN 557182; status source: Listed as Granted in the DTU faculty profile; inventor evidence: Inventors listed in the institutional report; Status and application identity are reported in the linked DTU faculty profile. Inventors follow the linked institutional annual report; original government list has not been checked. Exact grant date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr; institutional annual-report inventor list: https://nituk.ac.in/frontEnd/uk/annual_report/Annual%20Report%20%282023-24%29%20-%20English.pdf - Method for hiding private information; Granted; application 2041/DEL/2015; IN 440087; status source: Listed as Granted in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Exact grant date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - A System and Method for Delivery of Products in Climate-Controlled Environment; Published; application 202511090578; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; Listed in this faculty member’s institutional patent record; listing alone does not establish inventor attribution; https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Sources: - Official DTU faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - DTU CSE faculty directory: https://www.dtu.ac.in/Web/Departments/CSE/faculty/ - DTU IRINS / Vidwan profile: https://dtu.irins.org/profile/212764 - ORCID: https://orcid.org/0000-0002-5000-7644 - DBLP profile (Rajeev Kumar 0007): https://dblp.org/pid/75/4223-7.html - Google Scholar: https://scholar.google.com/citations?user=RkM_DrcAAAAJ&hl=en - DTU 2022 Research Excellence Award compendium: https://www.dtu.ac.in/Web/rnd/ResearchAward2022.pdf - Publisher record for the 2026 Remote Sensing survey: https://www.mdpi.com/2072-4292/18/2/196 - WiCV at ECCV 2026 (workshop information): https://sites.google.com/view/wicv-eccv-2026/home - Patent-o-thon (organizer event information): https://www.kitirf.com/past-events-details.php?album_id=209 ### Dr. Anurag Goel - Role: Assistant Professor - Profile: https://nperseus.com/team/faculty/anurag-goel - Research interests: Machine Learning; Deep Learning; Deep Clustering; Graph Algorithms & Networks; Image Processing; AI for Social Good; Computational Creativity - Verified: 2026-09-05 Dr. Anurag Goel is an Assistant Professor in Computer Science and Engineering at Delhi Technological University, where he has served since December 2020. He earned his Ph.D. from IIIT-Delhi in 2023 for the thesis ‘Deep Clustering,’ supervised by Prof. Angshul Majumdar, after receiving IIIT-Delhi’s M.Tech. Gold Medal in 2017. His research covers machine learning, deep learning and deep clustering, graph algorithms, image processing, AI for social good and computational creativity. His work includes clustering and representation learning, hyperspectral imaging, computer vision, cybersecurity and computational biology. He leads or co-leads four currently listed funded projects and is named on six granted Indian patents. Profile projects: Curated profile project records; inclusion does not imply current activity or confirmed funding unless explicitly stated in the source. - Development of Deep Learning based Multi-Sensor Fusion Framework for Multi-Target Surveillance System — PI, DTU Young Faculty Grant, ₹5 lakh (Ongoing) - Development of AI-Based Solution for Analysing, Benchmarking and Quality Monitoring of Cybersecurity Audit Reports and Performance Monitoring of Auditing Organisations — Co-PI, MeitY, ₹3 crore (Ongoing; PI: Pawan Singh Mehra) - AI-Assisted Multimodal Framework for Earthquake Vulnerability Assessment of Structures — Co-PI, National Institute of Disaster Management, ₹7.986 lakh (Ongoing; PI: Shilpa Pal) - An App for Transforming Raw EMRs into Actionable Summaries — PI, DTU CCDR/Koshika Foundation, ₹5.6 lakh (Ongoing; co-PIs: Rajeev Kumar and Garima Chhikara) Patents: - System and Method for Adaptive Notification Delivery Based on Cognitive Load and Contextual Parameters; Published; application 202511069771; https://client2021.nsllegal.com/Public/JPatent/PJ_15Aug2025.pdf - Hearing Aid System and Method for Context-Aware Alarm Detection and Personalized Biometric Feedback; Granted; application 202411103051; IN 578276; granted 2026-01-15; https://www.dtu.ac.in/Web/rnd/Patents.html - Adaptive Audio Output System and Method Thereof; Granted; application 202511004867; IN 584506; granted 2026-03-23; https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Automatic Transmission of Authentication Code; Granted; application 202411054265; IN 564225; granted 2025-03-28; https://www.dtu.ac.in/Web/Departments/CSE/patents/Patents%20Granted.pdf - Method and System for Generating Dynamic Alert in a Messaging Platform; Granted; application 202411062294; IN 568874; granted 2025-07-21; https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Enhancing Handwritten Content on a Smart Board; Granted; application 202411080365; IN 567890; granted 2025-06-25; https://www.dtu.ac.in/Web/rnd/Patents.html - System for Underwater Object Detection and Method Thereof; Granted; application 202411077385; IN 575681; granted 2025-12-11; https://www.dtu.ac.in/Web/rnd/Patents.html Sources: - Official DTU faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=anuraggoel - DTU CSE faculty directory: https://www.dtu.ac.in/Web/Departments/CSE/faculty/ - IIIT-Delhi thesis repository: https://repository.iiitd.edu.in/xmlui/handle/123456789/1313 - IIIT-Delhi 2024 convocation record: https://iiitd.ac.in/convocation2024/studentcorner.html - IIIT-Delhi 2017 awardees: https://www.iiitd.ac.in/convocation17/awardees.html - ORCID: https://orcid.org/0000-0003-2660-7540 - DBLP author profile: https://dblp.org/pid/17/5399.html - Personal academic site: https://sites.google.com/view/anurag-goel/home - DTU granted-patent register: https://www.dtu.ac.in/Web/Departments/CSE/patents/Patents%20Granted.pdf - DTU approved-project list: https://www.dtu.ac.in/Web/rnd/office%20order%20list%20of%20approved%20projects.pdf ### Ms. Anukriti Kaushal - Role: Assistant Professor - Profile: https://nperseus.com/team/faculty/anukriti-kaushal - Research interests: Image Forensics; Deepfake Detection; Deep Learning; Information Security; Computer Vision; Large Language Models; Machine Learning; Backdoor Attack Mitigation in Deep Neural Networks - Verified: 2026-09-05 Anukriti Kaushal is an Assistant Professor in the Department of Computer Science and Engineering at Delhi Technological University (DTU), holding a regular faculty appointment since December 2020. She has been pursuing a Ph.D. at DTU since August 2021, with the thesis topic Development of Intelligent Image-Forensic Strategies. Her research includes manipulated-image detection using deep learning, GAN-based deepfakes and highly compressed images. She completed an M.Tech. in Software Engineering at DTU; her master's thesis addressed symmetric-key encryption based on DNA cryptography. Her research spans digital image forensics, deepfake generation and detection, image manipulation detection and localization, computer vision, machine learning, large language models, backdoor attack mitigation in deep neural networks, and digital security and privacy. Her publisher-verified work includes journal articles in Multimedia Tools and Applications, Earth Science Informatics, and Applied Sciences and conference papers on image forensics, deepfakes, language models, and neural-network security. Google Scholar listed 130 citations, an h-index of 5, and an i10-index of 4 when checked on 5 September 2026; these bibliometrics change over time. She teaches programming, data structures, computer networks, distributed systems, machine learning, compiler design and deep learning and supervises M.Tech. research. DTU also lists her as Deputy Coordinator (IPR-TT), Co-In-Charge of the DBMS Lab, a CSE ISO team member, and an ISO 9001:2015 auditor. Profile projects: Curated profile project records; inclusion does not imply current activity or confirmed funding unless explicitly stated in the source. - Intelligent Surgical Scheduling and Doctor Roster Synchronisation System with Automated Patient Reminders for Multi-Speciality Eye Care Facilities/Hospitals — Principal Investigator; funded by the DTU Centre for Community Development and Research (DTU/CCDR), in collaboration with Dr. Shroff’s Charity Eye Hospital, Delhi. - SMIF-Net: A Robust Multi-Domain Learning Framework for Social Media Image Forensics — Co-Principal Investigator; Principal Investigator: Dr. Satyabrata Adhikari; Faculty Interdisciplinary Research Project (FIRP), DTU; project award approved by office order DTU/R&D/Faculty Proposal/2026/3632 dated 1 September 2026. Patents: - Hearing Aid System and Method for Context-Aware Alarm Detection and Personalized Biometric Feedback; Granted; application 202411103051; IN 578276; granted 2026-01-15; https://www.dtu.ac.in/Web/rnd/Patents.html - Adaptive Audio Output System and Method Thereof; Granted; application 202511004867; IN 584506; granted 2026-03-23; https://www.dtu.ac.in/Web/rnd/Patents.html Sources: - Official DTU faculty profile: https://dtu.ac.in/modules/facilities/people/faculty/view.php?uname=anukritikaushal - DTU profile archive: publications and service: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=anukritikaushal - DTU CSE faculty directory: https://www.dtu.ac.in/Web/Departments/CSE/faculty/ - DTU CSE laboratories and officers in charge: https://www.dtu.ac.in/Web/Departments/CSE/Laboratories_and_Infrastructure.pdf - DTU IRINS / Vidwan profile: https://dtu.irins.org/profile/212795 - Google Scholar: https://scholar.google.com/citations?user=R7H_2aMAAAAJ&hl=en - DTU patent register: https://www.dtu.ac.in/Web/rnd/Patents.html ## Members and alumni ### Ajit Kumar Yadav - Status: Current member - Role: Full-time Ph.D. Candidate - Profile: https://nperseus.com/team/ajit-kumar-yadav - Research focus: Reversible Data Hiding in Encrypted Images, Image Security, Backdoor Detection in Neural Networks - Skills: Reversible Data Hiding; Encrypted-Image Security; Image Processing; Backdoor Detection; Deep Learning; Python; TensorFlow / Keras; OpenCV; FastAPI; MLOps Ajit Kumar Yadav is a full-time Ph.D. candidate in Computer Science and Engineering at Delhi Technological University. DTU records his 2024–2026 M.Tech (Research) thesis as “Development of High-Capacity Reversible Data Hiding Methods for Encrypted Images.” His 2026 research output includes two IEEE ICSCCC papers on reversible data hiding in encrypted images and the IEEE ISDFS paper ShortcutProbe on backdoor-sample detection. He is also a co-inventor on two granted Indian patents covering secure electric-vehicle charging and prioritized data delivery. Profile projects: - High-Capacity Reversible Data Hiding in Encrypted Images: DTU-recorded M.Tech (Research) thesis topic aligned with his two IEEE ICSCCC 2026 papers. - MRI Brain Tumor Segmentation: public TensorFlow/Keras notebook implementing ResUNet segmentation with focal Tversky loss. - Carotid Artery Segmentation: public TensorFlow/Keras U-Net notebook for ultrasound-image segmentation. - Vehicle Insurance MLOps: public FastAPI training and prediction pipeline with MongoDB ingestion, S3 model storage and Docker packaging. ### Ganesh Immanni - Status: Current member - Role: Ph.D. Scholar - Profile: https://nperseus.com/team/ganesh-immanni-zmr9b0 - Research focus: Neural Network Watermarking, Model Theft and Backdoor Defense - Skills: Neural Network Security; Neural Network Watermarking; Model Theft; Backdoor Defense; Machine Learning; Python; Java; C; SQL; OpenCV Ph.D. scholar in Computer Science and Engineering at DTU, where he studies deep-neural-network security against model theft and backdoor attacks. He completed a B.Tech in Information Technology at Swarnandhra College of Engineering & Technology, affiliated with Jawaharlal Nehru Technological University Kakinada (2018–2022). His work includes neural-network watermarking, computer vision and web application development. Profile projects: - Vehicle Number Plate Extraction: developed a CNN/OCR pipeline in Python using OpenCV, imutils and Tesseract for traffic-monitoring images. - Medicine Donation System: developed a PHP and MySQL web portal for donating unused medicines. ### Meenakshi Diwan - Status: Current member - Role: Full-time Ph.D. Candidate - Profile: https://nperseus.com/team/meenakshi-diwan - Research focus: Robust Models for Social Media Image Forensics - Skills: Social-Media Image Forensics; Image Forensics; Robust Machine Learning Models Full-time Ph.D. candidate in Computer Science and Engineering at Delhi Technological University. Her doctoral research examines robust models for social-media image forensics under Rajeev Kumar, with Anurag Goel as co-supervisor. She is a co-inventor on granted Indian Patent IN 584506 for an adaptive audio output system. Profile projects: - Design and Development of Robust Models for Social Media Image Forensics: full-time Ph.D. research under Rajeev Kumar, with Anurag Goel as co-supervisor at DTU. ### Mohammad Aakil - Status: Current member - Role: Ph.D. Scholar - Profile: https://nperseus.com/team/mohammad-aakil-xgqp6y - Research focus: AI Security, Steganography and Large Language Models - Skills: AI Security; Steganography; Machine Learning; Deep Learning; LLMs / RAG; Java; Spring Boot; REST APIs; JPA / Hibernate; MySQL Ph.D. Research Scholar and Teaching Assistant in CSE at DTU under Dr. Rajeev Kumar, focusing on AI & security, steganography, machine and deep learning, and LLMs (RAG). MCA graduate from NIET Greater Noida, with a Java / Spring Boot backend development background. Profile projects: - Scann2Eat: Java/Spring Boot prototype for food-product APIs, QR-code generation and basic payment-transaction records, using configurable H2/MySQL storage. - Recipe Bazaar: built a web application for discovering and managing recipes. - AI Desktop Voice Assistant: developed a voice-driven desktop assistant integrating automation and information-retrieval tasks. ### Nikhil Gupta - Status: Current member - Role: Full-time Ph.D. Candidate - Profile: https://nperseus.com/team/nikhil-gupta - Research focus: Enabling Technologies for Trustworthy Artificial Intelligence, Adversarial Machine Learning, AI Security and Robustness - Skills: Adversarial Machine Learning; Deep Learning Security; Explainable AI; AI Robustness; Python Full-time Ph.D. candidate in Computer Science and Engineering at Delhi Technological University researching the design and development of enabling technologies for trustworthy artificial intelligence, supervised by Rajeev Kumar with Ankur of NIT Delhi as co-supervisor. His public work includes a survey on reversible adversarial perturbations and a granted Indian patent for detecting VPN usage in communication networks. Profile projects: - Enabling Technologies for Trustworthy Artificial Intelligence: Ph.D. research on adversarial robustness and trustworthy AI, including reversible adversarial perturbations. ### Shray Gupta - Status: Current member - Role: Ph.D. Scholar - Profile: https://nperseus.com/team/shray-gupta - Research focus: Hyperspectral Image Restoration and AI Security - Skills: Hyperspectral Imaging; Deep Learning; Explainable AI; AI Security; Python; TensorFlow; Keras; Scikit-learn; Transformers; LangChain; RAG; REST APIs Ph.D. scholar in Computer Science and Engineering at DTU. His M.Tech by Research work at DTU focused on hyperspectral image denoising. His research spans hyperspectral-image restoration and classification, explainable AI, and defenses against data-poisoning attacks. He also has prior software and frontend development experience. Profile projects: - 3DHyCA hyperspectral denoising: co-developed a 3D convolutional autoencoder combining residual learning and hybrid channel attention to remove mixed noise from hyperspectral images. - Remote Sensing Cube Classification: applied contrastive learning to spectral-spatial feature extraction and hyperspectral cube classification. - Adaptive Multimodal Fusion: developed a network for robust classification using multi-source features. - Risk-Aware Poisoning Defense: developed a machine-learning framework for detecting and mitigating data-poisoning attacks. ### Aaditya Shrivastava - Status: Current member - Role: M.Tech (Cyber Security) Student, DTU - Profile: https://nperseus.com/team/aaditya-shrivastava - Research focus: Federated Learning - Skills: Federated Learning; Cyber Security; Machine Learning; Digital Forensics; Web Application Security; Cloud and IoT Security; Python M.Tech (Cyber Security) student (2025–2027 expected) in Delhi Technological University's Department of Computer Science and Engineering, with verified coursework spanning network and application security, digital forensics, cloud and IoT security, AI and machine learning, and security audit. He previously studied B.Tech Computer Science and Engineering at HMR Institute of Technology & Management (GGSIPU). His research focus on federated learning is member-submitted. ### Ishan Panwar - Status: Current member - Role: M.Tech Student - Profile: https://nperseus.com/team/ishan-panwar - Research focus: AI Backdoor Defense - Skills: AI Security; Backdoor Defense; Adversarial Machine Learning; PyTorch; Network Security; Rust; LLVM; Docker; Ansible; Linux M.Tech student in Cybersecurity at Delhi Technological University, researching defenses against backdoored AI models. He previously completed a B.E. in Electronics and Computer Engineering at Thapar Institute of Engineering and Technology and has worked on security and cloud scanning at iTRUSTXForce and as a trainee at Bharat Electronics. He coauthored a 2026 ICSCCC conference paper on detecting backdoored models through gradient-entropy analysis and is a co-inventor on a published Indian patent application concerning adaptive routing for underwater software-defined networks. Profile projects: - AI Backdoor Defense: studies model behavior and gradient-entropy signals for detecting backdoored models from adversarial inputs. - NES2ELF Static Recompiler: explored binary translation and compiler tooling using Rust and LLVM. - Linux Li-Fi Drivers: experimental Raspberry Pi/Linux driver project for light-based data communication, published as Laser-Driver. - PS2Translate: experimental PlayStation 2 binary translator built with Rust and LLVM tooling. - Trust-Aware Underwater Routing: contributed to a Q-learning-based routing system for underwater software-defined networks. ### Mahaveer Prasad - Status: Current member - Role: M.Tech Student - Profile: https://nperseus.com/team/mahaveer-prasad - Research focus: Adversarial Machine Learning, Backdoor and Data-Poisoning Defense, Network Intrusion Detection, Android Malware Analysis - Skills: Data Poisoning Defense; Adversarial Machine Learning; Backdoor Detection; Network Intrusion Detection; Android Malware Analysis; Machine Learning; Python M.Tech student in Computer Science and Engineering at Delhi Technological University working across adversarial machine learning, backdoor and data-poisoning defense, robust network-intrusion detection and Android malware analysis. His public record includes four IEEE conference papers and a published Indian patent application for identifying and correcting poisoned training samples in deep neural networks. Profile projects: - ShortcutProbe research: the published study investigates inference-time backdoor-sample detection through internal stability analysis. - Multi-Signal Backdoor Defense research: the published framework combines model signals to detect poisoned samples and correct their labels. - Protocol-Aware Robustness Evaluation research: the published study evaluates deep-learning network intrusion-detection systems while preserving protocol semantics. - Android Malware Characterization research: the published study classifies Android malware using high-level behavioral features. ### Shaili Bansal - Status: Current member - Role: M.Tech (Artificial Intelligence) Student - Profile: https://nperseus.com/team/shaili-bansal - Research focus: Machine Learning and Deep Learning - Skills: Deep Learning; Machine Learning; Python; Java; MySQL; Data Structures; Object-Oriented Programming; Data Integration; Dashboarding; Retrieval-Augmented Generation; LLM Evaluation M.Tech student in Artificial Intelligence at DTU (2025–2027 expected) with a B.Tech in Computer Science and Engineering from Swami Keshvanand Institute of Technology, Jaipur (2021–2025). Her projects explore retrieval-augmented generation, language-model evaluation and code-repair agents, alongside machine learning and operational decision-support prototypes. Profile projects: - Self-Healing RAG: a policy-document question-answering prototype combining risk detection, adaptive retrieval, answer evaluation, evidence checks and retrieval repair.; repository: https://github.com/shailibansal/self-healing-rag - Self-Correcting Code Agent: a Python/Ollama prototype that checks syntax, generates code corrections and retries following execution errors.; repository: https://github.com/shailibansal/self-correcting-code-agent - Medical Literature Assistant: a prototype retrieving PubMed literature and generating answers with retrieved sources.; repository: https://github.com/shailibansal/medical-ai-assistant - AI-Powered Metro Train Operations Management System (2025): a prototype integrating Excel, PDF and CSV operational data, train-readiness dashboards and train-induction scheduling. ### Ayush Kumar - Status: Current member - Role: B.Tech Student - Profile: https://nperseus.com/team/ayush-kumar - Research focus: Android Security, Vulnerability Research and Secure Systems - Skills: Android Security; Vulnerability Research; Kotlin; Java; Python; TypeScript; React / Next.js; FastAPI; Docker Ayush Kumar is a B.Tech Computer Science and Engineering student at Delhi Technological University focused on Android security, vulnerability research and secure software systems. He built the lab research platform now developed as NPerseus and maintains an open-source Android application for privacy-conscious VPN-detection data collection. His public software work also includes PDF translation, code-to-wiki documentation, developer tooling and web-application prototypes. He is a co-inventor on three granted Indian patents spanning context-aware access control, secure EV charging and adaptive game simulation. Profile projects: - NPerseus Research Platform: built and maintains a full-stack research-group platform for member profiles, publications, projects and collaboration workflows. - VPN-Detect Collector (vpn-collector-android): Built encrypted-traffic and VPN research software for collection coordination, traffic preparation, feature extraction, model training, evaluation and experiment provenance, using third-party tools and libraries. The work includes traffic contributed by Ayush Kumar and volunteers during everyday device use, kept distinct from imported benchmarks and synthetic examples. The study has documented consent and institutional ethics approval. Its public Android companion uses the PCAPdroid capture engine. A truncated public data edition is prepared locally and awaits publication; raw research access for trusted researchers and organisations is considered through enquiry and review.; repository: https://github.com/Ayushkiller/vpn-collector-android - Translation Service (Transaltion-Service): Python and FastAPI project for PDF extraction, Gemini-assisted translation and layout reconstruction, with command-line and web interfaces.; repository: https://github.com/Ayushkiller/Transaltion-Service - Dockingcode (DocingCodeV1): React and Node.js documentation prototype that analyses repository source, generates AI-assisted descriptions and publishes them to a GitHub wiki with progress updates.; repository: https://github.com/Ayushkiller/DocingCodeV1 - CryptoScore (BlockCreditScore): TypeScript, React and Express prototype for exploring Ethereum wallet activity through transaction analysis, scoring rules and dashboards; not a validated credit-rating service.; repository: https://github.com/Ayushkiller/BlockCreditScore - Vyvsai (Team-Vyvsai): contributed to a React-based tender discovery and bidding platform with account, tender-browsing, subscription and document-upload interfaces.; repository: https://github.com/Ayushkiller/Team-Vyvsai - GitHub Reviewer Tool (GithubScraperTool): Java and Spring Boot developer tool for retrieving public repositories and inspecting source structure with configurable heuristic complexity scores.; repository: https://github.com/Ayushkiller/GithubScraperTool - TheSelectors: React and Material UI interview-management prototype with interview creation, expert listings, search and a skill-discussion interface.; repository: https://github.com/Ayushkiller/TheSelectors - RapidNew: Java Mindustry plugin for automatic item and liquid replenishment using cached building requirements; developed from an earlier JavaScript replenishment mod, with RapidNew and Radpid-MindustryPlugin counted as one project family.; repository: https://github.com/Ayushkiller/RapidNew - DTU Research Portal (historical): contributed to a React and Express paper-submission and review-workflow application; its repository explicitly marks the project abandoned and no longer maintained.; repository: https://github.com/Ayushkiller/dtu-research-portal - Embotic Android app (historical contribution): contributed Kotlin application and layout changes to a hosting-services app; its repository explicitly marks the project abandoned.; repository: https://github.com/Ayushkiller/EmboticHostingApp - Attendance platform: Built an attendance and organization-management platform with mobile and kiosk clients, an administrative dashboard and backend services. - ContextGuard: Built ContextGuard, a device-access control project spanning mobile apps, an administrative interface and smart-contract components, following an earlier native Android app-blocking prototype. - Xenoforge / Forge-Core: Primary developer of Xenoforge / Forge-Core, a game and modular engine in development, with contributions from Ayush Negi and use of third-party tools and libraries. - Esperal: Developing Esperal, an offline single-player game, using third-party tools and libraries. The game is in development. - Towerdefense: Primary developer of Towerdefense, a Mindustry server plugin with configurable waves, shops, an in-game economy and gameplay-tuning systems. - Kartikeya: Primary developer of Kartikeya, a Mindustry server-management plugin covering Discord integration, administration, voting, map workflows and player history. - Exchange-platform customization: Implemented forex-pair administration features, including backend APIs, a database model and an admin interface, within a Bicrypto-based exchange platform. - Flexi-Store learning prototype: Learning/prototype experiment using the Flexi-Store Kotlin e-commerce client, administration and backend components. - JeevanSetu: Disaster-response software project. - Model-pruning and adapter-recovery tooling: Built experimental pipelines for model pruning and adapter-based recovery. - Dataset-distillation tooling: Built experimental dataset-distillation software for data synthesis, evaluation and experiment tracking. - Grid-based code-golf tooling: Built developer tooling for grid-based code-golf tasks, including a task browser, solution comparison, example-based validation and code-size analysis, using third-party tools and libraries. - Image-prediction and inpainting experiments: Built experimental image-prediction and inpainting software, including training, checkpointing and evaluation tools, using third-party methods and libraries. ### Priyanshu Yadav - Status: Current member - Role: B.Tech Intern - Profile: https://nperseus.com/team/priyanshu-yadav - Research focus: Backdoor Security in Data Distillation - Skills: Neural Network Security; Deep Learning; Machine Learning; Computer Vision; Python; C++; Java; JavaScript; React; MERN Stack B.Tech student in Computer Science and Engineering at DTU (2023–present) conducting research on backdoor attacks and detection in data-distillation pipelines. He studies poisoned-sample detection through feature-space analysis, layer-wise representation consistency, Mahalanobis distance and feature-similarity measures. His project work includes face anti-spoofing and a QuickDraw web game integrating deep-learning models. Profile projects: - Backdoor Attacks and Detection in Data Distillation (ongoing): investigates vulnerabilities in distilled datasets and develops poisoned-sample detection methods using feature-space analysis, layer-wise representation consistency, Mahalanobis distance and feature similarity. - Face Anti-Spoofing Detection System: developed a MobileNetV2-based presentation-attack detection pipeline on the LCC FASD dataset, with augmentation and preprocessing for varied spoofing conditions. - QuickDraw Online Game: built a MERN application that uses CNN, MobileNetV2 and ResNet models to classify sketches from the Google QuickDraw dataset. - Language-learning speaking-practice project (announced): co-announced a collaborative project focused on accessible conversational practice. ### Aditya Kumar Chaudhary - Status: Alumnus - Role: M.Tech (Artificial Intelligence), DTU - Profile: https://nperseus.com/team/aditya-kumar-chaudhary - Research focus: Reversible Data Hiding in Encrypted Images - Skills: Python; C++; Machine Learning; Deep Learning; SQL; NumPy; Power BI; FastAPI M.Tech (Artificial Intelligence), DTU (2024–2026), with thesis work on a CNN-based predictor for reversible data hiding in encrypted images. He previously completed a B.Tech in Electrical and Electronics Engineering at Galgotias College of Engineering and Technology (2019–2023) and served as a Teaching Assistant at DTU. Profile projects: - CNN Predictor for Reversible Data Hiding in Encrypted Images: M.Tech thesis work on prediction for privacy-preserving image data hiding. - House Price Prediction: built an end-to-end regression pipeline with pandas, scikit-learn and gradient boosting, exposed through a FastAPI service. - Pneumonia Detection: trained and evaluated a transfer-learning CNN for chest X-ray classification. - IoT Prototypes: developed NodeMCU-based home automation and an LPG/smoke leakage detector. ### Kushagra Gupta - Status: Alumnus - Role: M.Tech Alumnus - Profile: https://nperseus.com/team/kushagra-gupta - Research focus: Data Science and Artificial Intelligence - Skills: Python; Machine Learning; SQL; PySpark; Azure; Power BI; Dart/Flutter Kushagra completed an M.Tech in Artificial Intelligence at DTU in 2024, with a thesis on AMBTC-based data hiding methods supervised by Rajeev Kumar. His publications cover reversible data hiding in encrypted images and cloud resource allocation. He joined EY's Forensics department as an Associate Consultant and has developed public Flutter applications. Profile projects: - Flutter Note Keeper: prioritized notes, Sqflite storage and persistent dark theme. - Flutter Animated Stopwatch: circular timer with notification-area play/pause controls. ### Dr Pallavi Ranjan - Status: Alumnus - Role: Assistant Professor (AI and Big Data) - Profile: https://nperseus.com/team/pallavi-ranjan - Research focus: Computer vision, hyperspectral imaging, generative AI, deep learning and remote sensing - Skills: Computer Vision; Hyperspectral Imaging; Generative AI; Deep Learning; Remote Sensing A NPerseus alumna, Pallavi Ranjan now teaches and researches AI at the University of Wollongong in Dubai. Her work explores computer vision and generative learning for hyperspectral imagery and remote sensing. She earned her doctorate at DTU in 2024. ### Dr. Ankur - Status: Alumnus - Role: Assistant Professor (Grade-II), NIT Delhi - Profile: https://nperseus.com/team/ankur-nandal - Research focus: Reversible Data Hiding in Encrypted Images, Image Security, Cryptography, Quantum Computing - Skills: Reversible Data Hiding in Encrypted Images; Image Security and Privacy; Cryptography and Steganography; Quantum Computing; Quantum Computer Architecture; Post-Quantum Cryptography; Quantum Artificial Intelligence Dr. Ankur is a NPerseus alumnus and an Assistant Professor at NIT Delhi. His research covers reversible data hiding, image security and cryptography, including post-quantum security and quantum steganography. He earned his Ph.D. at DTU in 2024. Profile projects: - Quantum Computing and Cryptography Lab: Developing the lab at NIT Delhi; the official laboratory-development record lists 2026. ### Dr. Sonal Gandhi - Status: Alumnus - Role: Assistant Professor, School of Computer Science Engineering and Technology (SCSET), Bennett University - Profile: https://nperseus.com/team/dr-sonal-gandhi - Research focus: Reversible Data Hiding, Medical-Image Security, Image Processing, Computer Vision, Deep Learning - Skills: Reversible Data Hiding; Medical-Image Security; Image Processing; Computer Vision; Deep Learning; Steganography; Convolutional Neural Networks Dr. Sonal Gandhi is an Assistant Professor in the School of Computer Science Engineering and Technology (SCSET) at Bennett University. She earned her Ph.D. in Computer Science and Engineering from Delhi Technological University in 2025 under the supervision of Dr. Rajeev Kumar. Her thesis, “Development of Data Hiding Methods for Content Protection in Medical Domain,” focused on methods for protecting medical-domain content through data hiding. Her research spans reversible data hiding, medical-image security, image processing, computer vision and deep learning. DTU records identify her as a full-time Ph.D. scholar and DTU Fellow, and DTU’s 2024–25 timetable lists her teaching Compiler Design and laboratory classes. Profile projects: - Doctoral thesis research — Development of Data Hiding Methods for Content Protection in Medical Domain: research on reversible data-hiding and deep-learning methods for protecting medical-image content. ## Publications (129) - 3D hybrid convolutional autoencoder for hyperspectral image denoising — Shray Gupta & Anurag Goel; Signal, Image and Video Processing, vol. 20(3), article 124 (2026); DOI: https://doi.org/10.1007/s11760-026-05174-z; type: Journal article; record source: Cross-listed in faculty and member records - A Deep Learning-Based Multimodal Cyberbullying Detection Framework Using DistilBERT ResNet50 and Cross-Modal Attention — Anurag Pandey, Jeba Nega Cheltha, Sonal Gandhi; Sustainable Developments in Computer Engineering, Green Technology and Smart Systems, pp. 444–449 (2026); DOI: https://doi.org/10.1201/9781003743774-71; type: Book chapter; record source: Member-submitted and curator-reviewed - A Dive into Generative Adversarial Networks in the World of Hyperspectral Imaging: A Survey of the State of the Art — Pallavi Ranjan, Ankur Nandal, Saurabh Agarwal, Rajeev Kumar; Remote Sensing, vol. 18(2), article 196 (2026); DOI: https://doi.org/10.3390/rs18020196; type: Journal article; record source: Faculty-curated - A Residual Pyramid-GAN Approach for Hyperspectral Image Classification — Pallavi Ranjan, Ankur, Rajeev Kumar; Annals of Data Science (2026); DOI: https://doi.org/10.1007/s40745-025-00671-3; type: Journal article; record source: Faculty-curated - A Survey on Reversible Adversarial Perturbations — Nikhil Gupta, Ankur, Rajeev Kumar; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 930–935 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600314; type: Conference paper; record source: Cross-listed in faculty and member records - A Unified Multi-Signal Indicator Framework for Backdoor Detection and Label Correction in Deep Neural Networks — Mahaveer Prasad, Vinod Kumar; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 368–373 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600051; type: Conference paper; record source: Member-submitted and curator-reviewed - Adaptive Weighted Predictor for Checkerboard based Reversible Data Hiding in Encrypted Images — Ajit Kumar Yadav, Rajeev Kumar; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 338–343 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600293; type: Conference paper; record source: Cross-listed in faculty and member records - Adversarial Robustness in Deep Learning-based Network Intrusion Detection Systems: A Defense-Centric Systematic Review — Aastha Ahlawat, Anurag Goel; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 183–188 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600202; type: Conference paper; record source: Faculty-curated - An Adaptive Defense Framework for Enhancing Adversarial Robustness in Deep Learning-based Network Intrusion Detection Systems — Aastha Ahlawat, Anurag Goel; 2026 4th International Conference on Sustainable Computing and Smart Systems (ICSCSS), pp. 583–589 (2026); DOI: https://doi.org/10.1109/ICSCSS69635.2026.11645896; type: Conference paper; record source: Faculty-curated - Conditional Diffusion Framework for Hybrid Image Synthesis: Towards Photorealistic and Geometry Aware Generation — Kanika Verma, Khushi Aggarwal, Pradipti Singh, Anurag Goel; 2026 9th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1163–1168 (2026); DOI: https://doi.org/10.1109/ICCMC69250.2026.11624993; type: Conference paper; record source: Faculty-curated - Cross-Domain Feature Fusion with Dense Convolution and Transformer Attention for Image Manipulation Chain Detection — Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 614–618 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600307; type: Conference paper; record source: Faculty-curated - Detecting Backdoored Models using Gradient Entropy Analysis of Adversarial Inputs — Ishan Panwar, Anukriti Kaushal, Abhishek Jain, Rajeev Kumar, Altaf Husain, Jitendra Singh; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 1007–1012 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600379; type: Conference paper; record source: Cross-listed in faculty and member records - Dynamic Energy Management in Heterogeneous Sensor Networks Using Hippopotamus-Inspired Clustering — Samayveer Singh, Aruna Malik, Vikas Tyagi, Rajeev Kumar, Neeraj Kumar, Shakir Khan, Mohd Fazil; IEEE Transactions on Network and Service Management, vol. 23, pp. 156–165 (2026); DOI: https://doi.org/10.1109/TNSM.2025.3618766; type: Journal article; record source: Faculty-curated - Greylag Goose-Based Optimized Cluster Routing for IoT-Based Heterogeneous Wireless Sensor Networks — Aruna Malik, Sandeep Verma, Samayveer Singh, Rajeev Kumar, Neeraj Kumar; IEEE Transactions on Network and Service Management, vol. 23, pp. 340–349 (2026); DOI: https://doi.org/10.1109/TNSM.2025.3627535; type: Journal article; record source: Faculty-curated - Index-Modulated High-Capacity Reversible Data Hiding in Encrypted Images — Ajit Kumar Yadav, Rajeev Kumar; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 332–337 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600193; type: Conference paper; record source: Cross-listed in faculty and member records - Intelligent Energy-Aware Routing via Protozoa Behavior in IoT-Enabled WSNs — Samayveer Singh, Vikas Tyagi, Aruna Malik, Rajeev Kumar, Ankur, Neeraj Kumar; IEEE Transactions on Network and Service Management, vol. 23, pp. 1960–1969 (2026); DOI: https://doi.org/10.1109/TNSM.2025.3636202; type: Journal article; record source: Faculty-curated - IoT Security in the Quantum Era: Evolution, Challenges and Cryptographic Solutions — Ashutosh Bahuguna, Pawan Singh Mehra, Anurag Goel; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 461–466 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11599989; type: Conference paper; record source: Faculty-curated - Multimodal Stock Market Prediction: A Review of Architectures, Fusion Strategies, and Robustness through the Lens of Explainable AI — Yatharth Bisht, Yash Jain, Vansh Dhawan, Anurag Goel; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 392–396 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600031; type: Conference paper; record source: Faculty-curated - Quantum Artificial Intelligence Techniques for Advanced Threat Detection and Mitigation in Cybersecurity Systems — Hansika Mittal, Anurag Goel, Pawan Singh Mehra; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 455–460 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11600317; type: Conference paper; record source: Faculty-curated - ShortcutProbe: Identifying Backdoor Samples Via Internal Stability Analysis — Mahaveer Prasad, Ajit Kumar Yadav, Rajeev Kumar, Victor Fedoseev; 2026 14th International Symposium on Digital Forensics and Security (ISDFS), pp. 1–6 (2026); DOI: https://doi.org/10.1109/ISDFS69419.2026.11459068; type: Conference paper; record source: Cross-listed in faculty and member records - Smart pixels: Interpretable active dictionary learning with spatial coherence regularization for hyperspectral image classification — Jyoti Maggu, Anurag Goel & Rajeev Kumar; Earth Science Informatics, vol. 19(1), article 10 (2026); DOI: https://doi.org/10.1007/s12145-025-02035-0; type: Journal article; record source: Faculty-curated - Unveiling Pure Spectra: A Comprehensive Review of Hyperspectral Image Denoising from the Perspective of Explainable AI — Shray Gupta, Anurag Goel; 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 189–194 (2026); DOI: https://doi.org/10.1109/ICSCCC69031.2026.11599981; type: Conference paper; record source: Cross-listed in faculty and member records - Watermarking in Deep Neural Network: A Comprehensive Survey — Ganesh Immanni, Rajeev Kumar, Anurag Goel; 2026 9th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1020–1027 (2026); DOI: https://doi.org/10.1109/ICCMC69250.2026.11624789; type: Conference paper; record source: Cross-listed in faculty and member records - A Green Node Structuring Protocol for IoT-WSNs Based on Hybrid Fairy-Wren Optimization Theory — Aruna Malik, Samayveer Singh, Rajeev Kumar, Arun Kumar Rai, Neeraj Kumar; IEEE Internet of Things Journal, vol. 12(24), pp. 54399–54406 (2025); DOI: https://doi.org/10.1109/JIOT.2025.3620467; type: Journal article; record source: Faculty-curated - A high-capacity reversible data hiding with contrast enhancement and brightness preservation for medical images — Sonal Gandhi, Rajeev Kumar; Multimedia Tools and Applications, vol. 84(8), pp. 5239–5264 (2025); DOI: https://doi.org/10.1007/s11042-024-18934-1; type: Journal article; record source: Cross-listed in faculty and member records - Analyzing Digital Image Anti-Forensics Techniques and Countermeasures — Saurabh Agarwal, Rajeev Kumar, Abha Devi, Ki-Hyun Jung; 2025 27th International Conference on Advanced Communications Technology (ICACT), pp. 83–87 (2025); DOI: https://doi.org/10.23919/ICACT63878.2025.10936688; type: Conference paper; record source: Faculty-curated - ConFunGAN: A Contrastive Learning Approach for Underwater Image Enhancement Using Funie GAN — Anurag Goel, Shorya Agarwal, Vernika Panchal, Vivek Kumar Thakur, Jyoti Maggu; 2025 2nd International Conference on Computational Intelligence and Computing Applications (ICCICA), pp. 1–6 (2025); DOI: https://doi.org/10.1109/ICCICA67008.2025.11337880; type: Conference paper; record source: Faculty-curated - Edge-guided semantic segmentation using deep learning — Divyansh Gupta, Aryan Adlakha, Arnav Chaudhary, Anurag Goel; Artificial Intelligence and Sustainable Innovation, pp. 688–693 (2025); DOI: https://doi.org/10.1201/9781003731689-101; type: Book chapter; record source: Faculty-curated - Editorial: Advancements in multimedia security in the context of artificial intelligence and cloud computing — Rajeev Kumar, Roberto Caldelli, Wong KokSheik, Ki-Hyun Jung, David Megías; Journal of Information Security and Applications, vol. 89, article 103964 (2025); DOI: https://doi.org/10.1016/j.jisa.2025.103964; type: Editorial; record source: Faculty-curated - Exploring technological trend and collaboration analysis in reversible data hiding in encrypted images — Ankur, Sonal Gandhi, Rajeev Kumar, Ki-Hyun Jung; Fortressing Pixels: Information Security for Images, Videos, Audio and Beyond, pp. 53–76 (2025); DOI: https://doi.org/10.1049/PBSE030E_ch4; type: Book chapter; record source: Cross-listed in faculty and member records - Faces in the Fog: A Deep Dive into Face De-Identification Techniques and Their Comparative Analysis — Shaonti Goswami, Sudipty Konica Paul, Sanyam Jawlia, Anurag Goel; 2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), pp. 603–608 (2025); DOI: https://doi.org/10.1109/DICCT64131.2025.10986474; type: Conference paper; record source: Faculty-curated - FALCON: Frequency-Aware Lightweight Convolutional Optimized Network — Himanshu Maan, Hemang Hooda, Harshit Verma, Anukriti Kaushal; 2025 3rd International Conference on Inventive Computing and Informatics (ICICI), pp. 1019–1026 (2025); DOI: https://doi.org/10.1109/ICICI65870.2025.11069816; type: Conference paper; record source: Faculty-curated - HEP-DHMI: The High Efficiency and Payload Data Hiding Scheme for AMBTC Compressed Medical Images — Chia-Chen Lin, En-Ting Chu, Iuon-Chang Lin, Rajeev Kumar; IEEE Access (2025); DOI: https://doi.org/10.1109/ACCESS.2025.3568601; type: Journal article; record source: Faculty-curated - High-capacity reversible data hiding in encrypted images based on difference image transfiguration — Ankur, Rajeev Kumar, Ajay K. Sharma, Pallavi Ranjan; Signal, Image and Video Processing, vol. 19(5), article 365 (2025); DOI: https://doi.org/10.1007/s11760-025-03911-4; type: Journal article; record source: Faculty-curated - High-fidelity reversible data hiding using novel comprehensive rhombus predictor — Rajeev Kumar, Roberto Caldelli, KokSheik Wong, Aruna Malik, Ki-Hyun Jung; Multimedia Tools and Applications, vol. 84(8), pp. 4115–4137 (2025); DOI: https://doi.org/10.1007/s11042-024-18797-6; type: Journal article; record source: Faculty-curated - Hyperparameter Tuning for Domain-Specific Text Generation: A Case Study with FLAN-T5 — Anukriti Kaushal, Rishabh Chauhan; 2025 3rd International Conference on Inventive Computing and Informatics (ICICI), pp. 1–6 (2025); DOI: https://doi.org/10.1109/ICICI65870.2025.11069492; type: Conference paper; record source: Faculty-curated - Integrated Multi-Domain Dehazing Using Wavelet-Guided Contrast Enhancement and Adaptive Filtering for High-Visibility Imaging — Harshit Garg, Anurag Goel; 2025 Second International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT), pp. 13–17 (2025); DOI: https://doi.org/10.1109/IC2SDT68218.2025.11383579; type: Conference paper; record source: Faculty-curated - Keystroke Dynamics Based User Authentication Focusing on Fixed Text Approaches — Anurag Kamra, Sanya Khurana, Anurag Goel; 2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), pp. 427–432 (2025); DOI: https://doi.org/10.1109/DICCT64131.2025.10986481; type: Conference paper; record source: Faculty-curated - Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval — Jyoti Maggu, Anurag Goel, Rajeev Kumar; Knowledge and Information Systems, vol. 67(8), pp. 6937–6967 (2025); DOI: https://doi.org/10.1007/s10115-025-02419-0; type: Journal article; record source: Faculty-curated - Leveraging rANS for synchronized high capacity reversible data hiding in encrypted image — Ankur, Rajeev Kumar, Pallavi Ranjan, Ki-Hyun Jung; Expert Systems with Applications, vol. 267, article 126181 (2025); DOI: https://doi.org/10.1016/j.eswa.2024.126181; type: Journal article; record source: Faculty-curated - LightGBM-Driven Pixel Prediction for High Fidelity Reversible Data Hiding — Nilesh, Sonal Gandhi, Manan Gautam, Prabal Khangura; 2025 International Conference on Intelligent and Secure Engineering Solutions (CISES), pp. 429–434 (2025); DOI: https://doi.org/10.1109/CISES66934.2025.11265025; type: Conference paper; record source: Member-submitted and curator-reviewed - ML-driven cybersecurity in banking — Gaurish Siwan, Harshit Jain, Kanishka Meena, Anurag Goel; Artificial Intelligence and Sustainable Innovation, pp. 682–687 (2025); DOI: https://doi.org/10.1201/9781003731689-100; type: Book chapter; record source: Faculty-curated - MRVNet: A 3D Residual Fusion Network for Robust Image Forgery Detection — Anukriti Kaushal, Ananay Gupta; 2025 3rd World Conference on Communication & Computing (WCONF), pp. 1–6 (2025); DOI: https://doi.org/10.1109/WCONF64849.2025.11233782; type: Conference paper; record source: Faculty-curated - Operator Chain Detection in Image Forensics Using a Two-Stream CNN — Dhruv Katyal, Harshit Naagar, Kangan Gupta, Anukriti Kaushal; 2025 3rd International Conference on Inventive Computing and Informatics (ICICI), pp. 973–979 (2025); DOI: https://doi.org/10.1109/ICICI65870.2025.11069789; type: Conference paper; record source: Faculty-curated - Optimizing Secure Data Transmission in 6G-Enabled IoMT Using Blockchain Integration — Aruna Malik, Vikas Tyagi, Samayveer Singh, Rajeev Kumar, Huaming Wu, Sukhpal Singh Gill; IEEE Transactions on Consumer Electronics, vol. 71(2), pp. 4534–4543 (2025); DOI: https://doi.org/10.1109/TCE.2024.3510812; type: Journal article; record source: Faculty-curated - Optimizing Visibility in Hazed Images: A Hybrid Approach with Dark Channel Prior, Guided Filtering, and Wavelets — Harshit Garg, Anurag Goel; 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI), pp. 679–684 (2025); DOI: https://doi.org/10.1109/ICCSAI64074.2025.11063978; type: Conference paper; record source: Faculty-curated - PRILNet: A Hierarchical Attention-Driven CNN with Global Texture for Image Manipulation Detection — Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar, Minoru Kuribayashi; 2025 Second International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT), pp. 196–201 (2025); DOI: https://doi.org/10.1109/IC2SDT68218.2025.11383681; type: Conference paper; record source: Faculty-curated - Protocol-Aware Semantic Filtering for Reliable Adversarial Robustness Evaluation in DL-based Network Intrusion Detection Systems — Mahaveer Prasad, Vinod Kumar; 2025 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6 (2025); DOI: https://doi.org/10.1109/ANTS66931.2025.11430165; type: Conference paper; record source: Member-submitted and curator-reviewed - Reversible data hiding for color images using a novel self-attention based CNN predictor and error adjustment — Sonal Gandhi, Rajeev Kumar; Signal, Image and Video Processing, vol. 19(17), article 1407 (2025); DOI: https://doi.org/10.1007/s11760-025-04991-y; type: Journal article; record source: Cross-listed in faculty and member records - Reversible data hiding in encrypted image using bit-plane based label-map encoding with optimal block size — Ankur, Rajeev Kumar, Ajay K. Sharma; Journal of Information Security and Applications, vol. 90, article 104005 (2025); DOI: https://doi.org/10.1016/j.jisa.2025.104005; type: Journal article; record source: Faculty-curated - Revolutionizing hyperspectral image classification for limited labeled data: unifying autoencoder-enhanced GANs with convolutional neural networks and zero-shot learning — Pallavi Ranjan, Anukriti Kaushal, Ashish Girdhar, Rajeev Kumar; Earth Science Informatics, vol. 18(2), article 216 (2025); DOI: https://doi.org/10.1007/s12145-025-01739-7; type: Journal article; record source: Faculty-curated - SobelMNet: A Lightweight CNN based Approach for Median Filtering Detection in compressed images — Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar; 2025 27th International Conference on Advanced Communications Technology (ICACT), pp. 244–248 (2025); DOI: https://doi.org/10.23919/ICACT63878.2025.10936716; type: Conference paper; record source: Faculty-curated - Study on Deepfake Detection Techniques: Challenges, Limitations and Future Directions — Anukriti Kaushal, Yogesh Parihar, Vatan Tomar, Uttam Kumar Yadav; 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI), pp. 40–48 (2025); DOI: https://doi.org/10.1109/ICDICI66477.2025.11135143; type: Conference paper; record source: Faculty-curated - Survey of reversible data hiding: Statistics, current trends, and future outlook — Sonal Gandhi, Rajeev Kumar; Computer Standards & Interfaces, vol. 94, article 104003 (2025); DOI: https://doi.org/10.1016/j.csi.2025.104003; type: Journal article; record source: Cross-listed in faculty and member records - UMANeT: A two-stage interpolation-based reversible data hiding framework with attention-enhanced prediction — Sonal Gandhi, Rajeev Kumar; Journal of Information Security and Applications, vol. 94, article 104217 (2025); DOI: https://doi.org/10.1016/j.jisa.2025.104217; type: Journal article; record source: Cross-listed in faculty and member records - A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images — Pallavi Ranjan, Rajeev Kumar, Ashish Girdhar; Neural Computing and Applications, vol. 36(15), pp. 8335–8354 (2024); DOI: https://doi.org/10.1007/s00521-024-09527-y; type: Journal article; record source: Faculty-curated - A novel spectral-spatial 3D auxiliary conditional GAN integrated convolutional LSTM for hyperspectral image classification — Pallavi Ranjan, Ashish Girdhar, Ankur, Rajeev Kumar; Earth Science Informatics, vol. 17(6), pp. 5251–5271 (2024); DOI: https://doi.org/10.1007/s12145-024-01451-y; type: Journal article; record source: Faculty-curated - A review on deepfake generation and detection: bibliometric analysis — Anukriti Kaushal, Sanjay Kumar, Rajeev Kumar; Multimedia Tools and Applications, vol. 83(40), pp. 87579–87619 (2024); DOI: https://doi.org/10.1007/s11042-024-18706-x; type: Journal article; record source: Faculty-curated - A Statistical Landscape Analysis of AMBTC based Data Hiding Methods — Kushagra Gupta, Rajeev Kumar; 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N), pp. 671–676 (2024); DOI: https://doi.org/10.1109/ICAC2N63387.2024.10894766; type: Conference paper; record source: Cross-listed in faculty and member records - Adaptive AMBTC based Reversible Data Hiding in Encrypted Images — Kushagra Gupta, Ankur, Rajeev Kumar; 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1–6 (2024); DOI: https://doi.org/10.1109/ICCCNT61001.2024.10725238; type: Conference paper; record source: Cross-listed in faculty and member records - Bit-Plane Based Reversible Data Hiding in Encrypted Images Using Multi-Level Blocking With Quad-Tree — Ankur, Rajeev Kumar, Ajay K. Sharma; IEEE Transactions on Multimedia, vol. 26, pp. 4722–4735 (2024); DOI: https://doi.org/10.1109/TMM.2023.3325993; type: Journal article; record source: Faculty-curated - Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements — Anukriti Kaushal, Chia-Chen Lin, Rishabh Chauhan, Rajeev Kumar; Applied Sciences, vol. 14(23), article 11462 (2024); DOI: https://doi.org/10.3390/app142311462; type: Journal article; record source: Faculty-curated - ConGANomaly: A Contrastive Learning Approach of Anomaly Detection Using Generative Adversarial Networks — Shikhar Asthana & Anurag Goel; 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1–7 (2024); DOI: https://doi.org/10.1109/ICCCNT61001.2024.10726188; type: Conference paper; record source: Faculty-curated - Contrastive deep convolutional transform k-means clustering — Anurag Goel & Angshul Majumdar; Information Sciences, vol. 661, article 120191 (2024); DOI: https://doi.org/10.1016/j.ins.2024.120191; type: Journal article; record source: Faculty-curated - DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework — Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia; Signal Processing, vol. 224, article 109597 (2024); DOI: https://doi.org/10.1016/j.sigpro.2024.109597; type: Journal article; record source: Faculty-curated - Deep convolutional architectures for optimizing multi-element airfoil systems — Kartikey Vishnu, Devdoot Chatterjee, Anurag Goel & Rajeev Kumar; Physics of Fluids, vol. 36(11), article 113622 (2024); DOI: https://doi.org/10.1063/5.0234254; type: Journal article; record source: Faculty-curated - Deep Learning Strategies for Effective Image Forgery Detection and Localization — Nandini Kashyap, Prince Yadav, Nikita, Anukriti Kaushal; 2024 International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3), pp. 1–5 (2024); DOI: https://doi.org/10.1109/IC2E362166.2024.10827254; type: Conference paper; record source: Faculty-curated - Detecting low-resolution deepfakes: an exploration of machine learning techniques — Mayank Pandey, Samayveer Singh, Aruna Malik, Rajeev Kumar; Multimedia Tools and Applications, vol. 83(25), pp. 66283–66298 (2024); DOI: https://doi.org/10.1007/s11042-024-18235-7; type: Journal article; record source: Faculty-curated - Emerging trends in biomedical trait-based human identification: A bibliometric analysis — Nancy Girdhar, Deepak Sharma, Rajeev Kumar, Monalisa Sahu, Chia-Chen Lin; SLAS Technology, vol. 29(3), article 100136 (2024); DOI: https://doi.org/10.1016/j.slast.2024.100136; type: Journal article; record source: Faculty-curated - Enhancing Image Translation with Conditional Generative Adversarial Networks — Shobhit Verma, Srishti Arora, Tanvi Kayat, Anurag Goel; 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1–6 (2024); DOI: https://doi.org/10.1109/ICSTSN61422.2024.10670894; type: Conference paper; record source: Faculty-curated - Ensemble Deep Model for Hate Speech Detection — Nitik Garg, Piyush Kumar Vikram, Nidant Rajora, Anurag Goel; Lecture Notes in Networks and Systems, pp. 179–190 (2024); DOI: https://doi.org/10.1007/978-981-99-9811-1_14; type: Book chapter; record source: Faculty-curated - High Fidelity Reversible Data Hiding For Color Images using CNN Predictor and Reference Error — Sonal Gandhi, Rajeev Kumar; 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1–6 (2024); DOI: https://doi.org/10.1109/ICCCNT61001.2024.10724992; type: Conference paper; record source: Cross-listed in faculty and member records - K-BEST subspace clustering: kernel-friendly block-diagonal embedded and similarity-preserving transformed subspace clustering — Jyoti Maggu & Anurag Goel; Pattern Analysis and Applications, vol. 27(4), article 119 (2024); DOI: https://doi.org/10.1007/s10044-024-01336-2; type: Journal article; record source: Faculty-curated - Link chain driven reversible data hiding in encrypted images for high payload — Ankur, Rajeev Kumar, Ajay K. Sharma; Signal, Image and Video Processing, vol. 18(8–9), pp. 5841–5856 (2024); DOI: https://doi.org/10.1007/s11760-024-03275-1; type: Journal article; record source: Faculty-curated - Major vulnerabilities in Ethereum smart contracts: Investigation and statistical analysis — Mohammad Pishdar, Mahdi Bahaghighat, Rajeev Kumar, Qin Xin; EAI Endorsed Transactions on Internet of Things, vol. 11 (2024); DOI: https://doi.org/10.4108/eetiot.5120; type: Journal article; record source: Faculty-curated - Semi-Supervised Graphical Deep Dictionary Learning for Hyperspectral Image Classification From Limited Samples — Anurag Goel & Angshul Majumdar; 2024 IEEE International Conference on Image Processing (ICIP), pp. 2108–2114 (2024); DOI: https://doi.org/10.1109/ICIP51287.2024.10647482; type: Conference paper; record source: Faculty-curated - Sparse subspace clustering incorporated deep convolutional transform learning for hyperspectral band selection — Anurag Goel & Angshul Majumdar; Earth Science Informatics, vol. 17(3), pp. 2727–2735 (2024); DOI: https://doi.org/10.1007/s12145-024-01312-8; type: Journal article; record source: Faculty-curated - Unveiling Anomalies: A Review of Anomaly Detection Through Lens of Explainable AI — Shikhar Asthana, Anurag Goel; 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1–6 (2024); DOI: https://doi.org/10.1109/ICSTSN61422.2024.10670939; type: Conference paper; record source: Faculty-curated - A Comprehensive Review on Compiler in Neural Networks — Zishnendu Sarker, Sristi Mitra, Sonal Gandhi; 2023 IEEE International Conference on Contemporary Computing and Communications (InC4), pp. 1–6 (2023); DOI: https://doi.org/10.1109/InC457730.2023.10263112; type: Conference paper; record source: Member-submitted and curator-reviewed - A review of different prediction methods for reversible data hiding — Rajeev Kumar, Deepak Sharma, Amit Dua, Ki-Hyun Jung; Journal of Information Security and Applications, vol. 78, article 103572 (2023); DOI: https://doi.org/10.1016/j.jisa.2023.103572; type: Journal article; record source: Faculty-curated - Accurate Disease Detection in Apple Fruit Images using Transfer Learning: A Novel Approach for Agricultural Sustainability — Piyush Agrawal, Nishant Singh, Nikunj Bansal, Anurag Goel; 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pp. 482–488 (2023); DOI: https://doi.org/10.1109/ICAAIC56838.2023.10141138; type: Conference paper; record source: Faculty-curated - Blood Cell Classification using Neural Network Models — Jagrit Mitra, Kartik Vijayran, Kartikeya Verma, Anurag Goel; 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1–5 (2023); DOI: https://doi.org/10.1109/ICSTSN57873.2023.10151543; type: Conference paper; record source: Faculty-curated - Characterizing and Classifying Android Malware: A High-Level Feature Approach — Mahaveer Prasad, Sanchit Gupta, Sarvjeet Kaur; 2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS), pp. 1–7 (2023); DOI: https://doi.org/10.1109/IQ-CCHESS56596.2023.10391357; type: Conference paper; record source: Member-submitted and curator-reviewed - Community Detection using Unsupervised Learning Approach — Akansha Mittal, Anurag Goel; 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), pp. 946–951 (2023); DOI: https://doi.org/10.1109/ICAIS56108.2023.10073881; type: Conference paper; record source: Faculty-curated - Devanagari Character Recognition Using MLP-Mixer and CNN Extracted Features — Abhay Gupta, Abhishek Sharma, Abhishek Jha, Anukriti Kaushal; 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), pp. 620–627 (2023); DOI: https://doi.org/10.1109/AIC57670.2023.10263816; type: Conference paper; record source: Faculty-curated - Face Manipulation Detection in Images using Inception Layers and Graph Convolutional Networks — Aman Mahendroo, Aaradhya Beri, Anukriti Kaushal; 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), pp. 276–281 (2023); DOI: https://doi.org/10.1109/ICIDCA56705.2023.10099546; type: Conference paper; record source: Faculty-curated - High capacity reversible data hiding with contiguous space in encrypted images — Ankur, Rajeev Kumar, Ajay K. Sharma; Computers and Electrical Engineering, vol. 112, article 109017 (2023); DOI: https://doi.org/10.1016/j.compeleceng.2023.109017; type: Journal article; record source: Faculty-curated - Image Generation Using Deep Convolutional Generative Adversarial Networks — Abhishek Aryan, Vignesh Kashyap, Anurag Goel; Research Advances in Intelligent Computing, pp. 269–278 (2023); DOI: https://doi.org/10.1201/9781003320340-21; type: Book chapter; record source: Faculty-curated - Marker-free characterization of full-length transcriptomes of single live circulating tumor cells — Sarita Poonia, Anurag Goel, Smriti Chawla, Namrata Bhattacharya, Priyadarshini Rai, Yi Fang Lee, Yoon Sim Yap, Jay West, Ali Asgar Bhagat, Juhi Tayal, Anurag Mehta, Gaurav Ahuja, Angshul Majumdar, Naveen Ramalingam, Debarka Sengupta; Genome Research, vol. 33(1), pp. 80–95 (2023); DOI: https://doi.org/10.1101/gr.276600.122; type: Journal article; record source: Faculty-curated - Medical Image Denoising using Convolutional Autoencoder with Shortcut Connections — Manas Gupta, Anurag Goel, Kushal Goel, Jatin Kansal; 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 1524–1528 (2023); DOI: https://doi.org/10.1109/ICSSIT55814.2023.10061131; type: Conference paper; record source: Faculty-curated - Sign Language to Text Classification using One-Shot Learning — Sourav Pal, Sourabh Ruhella, Sparsh Sinha, Anurag Goel; 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), pp. 833–837 (2023); DOI: https://doi.org/10.1109/ICSCDS56580.2023.10104608; type: Conference paper; record source: Faculty-curated - SupRes: Facial Image Upscaling Using Sparse Denoising Autoencoder — Manan Agrawal, Mohd Ayaan Anwar, Nakul Saroha, Anurag Goel; 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), pp. 541–546 (2023); DOI: https://doi.org/10.1109/ICCMC56507.2023.10083628; type: Conference paper; record source: Faculty-curated - The Societal Impact of Deepfakes: Advances in Detection and Mitigation — Anukriti Kaushal, Aman Mina, Abhishek Meena, Talari Harinath Babu; 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1–7 (2023); DOI: https://doi.org/10.1109/ICCCNT56998.2023.10307353; type: Conference paper; record source: Faculty-curated - A Comparative Study on Deepfake Detection Algorithms — Anukriti Kaushal, Sanchit Singh, Shashank Negi, Shikhar Chhaukar; 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 854–860 (2022); DOI: https://doi.org/10.1109/ICAC3N56670.2022.10074593; type: Conference paper; record source: Faculty-curated - A GA-Based Sustainable and Secure Green Data Communication Method Using IoT-Enabled WSN in Healthcare — Samayveer Singh, Aridaman Singh Nandan, Aruna Malik, Rajeev Kumar, Lalit K. Awasthi, Neeraj Kumar; IEEE Internet of Things Journal, vol. 9(10), pp. 7481–7490 (2022); DOI: https://doi.org/10.1109/JIOT.2021.3108875; type: Journal article; record source: Faculty-curated - An Optimized Genetic Algorithm for Cluster Head Election Based on Movable Sinks and Adjustable Sensing Ranges in IoT-Based HWSNs — Aridaman Singh Nandan, Samayveer Singh, Rajeev Kumar, Neeraj Kumar; IEEE Internet of Things Journal, vol. 9(7), pp. 5027–5039 (2022); DOI: https://doi.org/10.1109/JIOT.2021.3107295; type: Journal article; record source: Faculty-curated - Argument Mining using BERT and Self-Attention based Embeddings — Pranjal Srivastava, Pranav Bhatnagar & Anurag Goel; 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 1536–1540 (2022); DOI: https://doi.org/10.1109/ICAC3N56670.2022.10074559; type: Conference paper; record source: Faculty-curated - Deep Convolutional K-Means Clustering — Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia; 2022 IEEE International Conference on Image Processing (ICIP), pp. 211–215 (2022); DOI: https://doi.org/10.1109/ICIP46576.2022.9897742; type: Conference paper; record source: Faculty-curated - Deep Neural Network for Facial Emotion Recognition System — Vimal Singh, Sonal Gandhi, Rajiv Kumar, Ramashankar Yadav, Shivani Joshi; Computational and Experimental Methods in Mechanical Engineering, Smart Innovation, Systems and Technologies, vol. 239, pp. 397–402 (2022); DOI: https://doi.org/10.1007/978-981-16-2857-3_39; type: Book chapter; record source: Member-submitted and curator-reviewed - Detection of COVID-19 Protocols Violation in Real Time using Deep Learning — Nishant Singh & Anurag Goel; Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, pp. 440–445 (2022); DOI: https://doi.org/10.1145/3549206.3549282; type: Conference paper; record source: Faculty-curated - K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection — Anurag Goel & Angshul Majumdar; IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5 (2022); DOI: https://doi.org/10.1109/LGRS.2022.3165313; type: Journal article; record source: Faculty-curated - Predictive Analytics of Stock Market as a Time Series — Arth Singh, Anmol Bansal, Anoop Nair V, Anukriti Kaushal; 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 770–777 (2022); DOI: https://doi.org/10.1109/ICAC3N56670.2022.10074155; type: Conference paper; record source: Faculty-curated - Solar Flare Prediction using Machine Learning Algorithms on RHESSI Dataset — Moulshree, Munira Anjum, Anurag Goel; 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), pp. 659–664 (2022); DOI: https://doi.org/10.1109/ICSCDS53736.2022.9760755; type: Conference paper; record source: Faculty-curated - Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification — Anurag Goel & Angshul Majumdar; IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5 (2022); DOI: https://doi.org/10.1109/LGRS.2021.3112603; type: Journal article; record source: Faculty-curated - Stock Prediction using Gaussian Process Regression — Akarsh Bisht, Akash Chahar, Akshaj Kabthiyal, Anurag Goel; 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), pp. 693–699 (2022); DOI: https://doi.org/10.1109/ICCMC53470.2022.9754114; type: Conference paper; record source: Faculty-curated - A Comprehensive Study of Reversible Data Hiding (RDH) Schemes Based on Pixel Value Ordering (PVO) — Gurjinder Kaur, Samayveer Singh, Rajneesh Rani, Rajeev Kumar; Archives of Computational Methods in Engineering, vol. 28(5), pp. 3517–3568 (2021); DOI: https://doi.org/10.1007/s11831-020-09512-3; type: Journal article; record source: Faculty-curated - A Green Data Collection & Transmission Method for IoT-Based WSN in Disaster Management — Aridaman Singh Nandan, Samayveer Singh, Aruna Malik, Rajeev Kumar; IEEE Sensors Journal, vol. 21(22), pp. 25912–25921 (2021); DOI: https://doi.org/10.1109/JSEN.2021.3117995; type: Journal article; record source: Faculty-curated - Classification of Positive and Negative Fake Online Reviews Using Machine Learning Techniques — Anurag Goel, Tanmay Nigam, Tarundeep Singh, Harsh Agrawal; International Journal of Advanced Networking and Applications, vol. 12(6), pp. 4746–4749 (2021); DOI: https://doi.org/10.35444/IJANA.2021.12603; type: Journal article; record source: Faculty-curated - Clustering Friendly Dictionary Learning — Anurag Goel, Angshul Majumdar; Lecture Notes in Computer Science, pp. 549–557 (2021); DOI: https://doi.org/10.1007/978-3-030-92185-9_45; type: Book chapter; record source: Faculty-curated - Intra-Block Correlation Based Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling — Arun Kumar Rai, Neeraj Kumar, Rajeev Kumar, Hari Om, Satish Chand, Ki-Hyun Jung; Symmetry, vol. 13(6), article 1072 (2021); DOI: https://doi.org/10.3390/sym13061072; type: Journal article; record source: Faculty-curated - Local Moment Driven PVO Based Reversible Data Hiding — Neeraj Kumar, Rajeev Kumar, Roberto Caldelli; IEEE Signal Processing Letters, Vol. 28, pp. 1335–1339 (2021); DOI: https://doi.org/10.1109/LSP.2021.3090673; type: Journal article; record source: Faculty-curated - SORTIS: Sharing of Resources in Cloud Framework Using CloudSim Tool — Kushagra Gupta, Rahul Johari; International Conference on Innovative Computing and Communications, Advances in Intelligent Systems and Computing, vol. 1166 (2021); DOI: https://doi.org/10.1007/978-981-15-5148-2_72; type: Book chapter; record source: Member-submitted and curator-reviewed - Transformed K-means Clustering — Anurag Goel & Angshul Majumdar; 2021 29th European Signal Processing Conference (EUSIPCO), pp. 1526–1530 (2021); DOI: https://doi.org/10.23919/EUSIPCO54536.2021.9616177; type: Conference paper; record source: Faculty-curated - Efficient Pixel-Value Differencing Based Hybrid Steganographic Method Using Modulus Function — Aruna Malik, Sonal Gandhi; International Journal of Information Retrieval Research, 10(4), 51–62 (2020); DOI: https://doi.org/10.4018/IJIRR.2020100104; type: Journal article; record source: Member-submitted and curator-reviewed - Enhanced pairwise IPVO-based reversible data hiding scheme using rhombus context — Rajeev Kumar, Ki-Hyun Jung; Information Sciences, vol. 536, pp. 101–119 (2020); DOI: https://doi.org/10.1016/j.ins.2020.05.047; type: Journal article; record source: Faculty-curated - Robust reversible data hiding scheme based on two-layer embedding strategy — Rajeev Kumar, Ki-Hyun Jung; Information Sciences, vol. 512, pp. 96–107 (2020); DOI: https://doi.org/10.1016/j.ins.2019.09.062; type: Journal article; record source: Faculty-curated - Deep Learning Approach to Determine the Impact of Socio Economic Factors on Bitcoin Price Prediction — Apoorva Aggarwal, Isha Gupta, Novesh Garg & Anurag Goel; 2019 Twelfth International Conference on Contemporary Computing (IC3), pp. 1–5 (2019); DOI: https://doi.org/10.1109/IC3.2019.8844928; type: Conference paper; record source: Faculty-curated - Enhanced AMBTC based data hiding method using hamming distance and pixel value differencing — Rajeev Kumar, Dae-Soo Kim, Ki-Hyun Jung; Journal of Information Security and Applications, vol. 47, pp. 94–103 (2019); DOI: https://doi.org/10.1016/j.jisa.2019.04.007; type: Journal article; record source: Faculty-curated - An Improved Histogram-Shifting-Imitated Reversible Data Hiding Based on HVS Characteristics — Rajeev Kumar, Satish Chand, Samayveer Singh; Multimedia Tools and Applications, vol. 77(11), pp. 13445–13457 (2018); DOI: https://doi.org/10.1007/s11042-017-4960-y; type: Journal article; record source: Faculty-curated - Enhancing RansomwareElite App for Detection of Ransomware in Android Applications — Shivangi, Gautam Sharma, Anubhav Johri, Akshita, Anurag Goel, Anuradha Gupta; 2018 Eleventh International Conference on Contemporary Computing (IC3), pp. 1–4 (2018); DOI: https://doi.org/10.1109/IC3.2018.8530614; type: Conference paper; record source: Faculty-curated - Load Balancing in Network Voronoi Diagrams Under Overload Penalties — Ankita Mehta, Kapish Malik, Venkata M. V. Gunturi, Anurag Goel, Pooja Sethia, Aditi Aggarwal; Lecture Notes in Computer Science, pp. 457–475 (2018); DOI: https://doi.org/10.1007/978-3-319-98809-2_28; type: Book chapter; record source: Faculty-curated - Recovery based high capacity reversible data hiding scheme using even-odd embedding — Aruna Malik, Samayveer Singh, Rajeev Kumar; Multimedia Tools and Applications, vol. 77(12), pp. 15803–15827 (2018); DOI: https://doi.org/10.1007/s11042-017-5156-1; type: Journal article; record source: Faculty-curated - Energy efficient heterogeneous DEEC protocol for enhancing lifetime in WSNs — Samayveer Singh, Aruna Malik, Rajeev Kumar; Engineering Science and Technology, an International Journal, vol. 20(1), pp. 345–353 (2017); DOI: https://doi.org/10.1016/j.jestch.2016.08.009; type: Journal article; record source: Faculty-curated - A high capacity email based text steganography scheme using Huffman compression — Rajeev Kumar, Aruna Malik, Samayveer Singh, Satish Chand; 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), pp. 53–56 (2016); DOI: https://doi.org/10.1109/SPIN.2016.7566661; type: Conference paper; record source: Faculty-curated - A reversible high capacity data hiding scheme using pixel value adjusting feature — Rajeev Kumar, Satish Chand; Multimedia Tools and Applications, vol. 75(1), pp. 241–259 (2016); DOI: https://doi.org/10.1007/s11042-014-2289-3; type: Journal article; record source: Faculty-curated - A space based reversible high capacity text steganography scheme using font type and style — Rajeev Kumar, Aruna Malik, Samayveer Singh, Bijendra Kumar, Satish Chand; 2016 International Conference on Computing, Communication and Automation, pp. 1090–1094 (2016); DOI: https://doi.org/10.1109/CCAA.2016.7813878; type: Conference paper; record source: Faculty-curated - NEECP: Novel Energy-Efficient Clustering Protocol for Prolonging Lifetime of WSNs — Samayveer Singh, Satish Chand, Rajeev Kumar, Aruna Malik, Bijendra Kumar; IET Wireless Sensor Systems, vol. 6(5), pp. 151–157 (2016); DOI: https://doi.org/10.1049/iet-wss.2015.0017; type: Journal article; record source: Faculty-curated - Quantifying trust evaluation based on approximate reasoning — Geetika Arora, Iti Mathur, Sonal Gandhi; 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1448–1451 (2015); type: Conference paper; record source: Member-submitted and curator-reviewed - Dynamic Traffic Signal Control Algorithm in Intelligent Transportation System through Wireless Sensor Networks — Monika Johri, Anurag Goel, Ashutosh Kumar Tiwari; International Journal of Engineering & Science Research, vol. 2(4), article 14, pp. 285–293 (2012); type: Journal article; record source: Faculty-curated ## Released projects (0) ## Reviewed patents (39) - System and Method for Adaptive Notification Delivery Based on Cognitive Load and Contextual Parameters — Published; application 202511069771; patent —; inventors: Shray Gupta, Anurag Goel, Rajeev Kumar; source: https://client2021.nsllegal.com/Public/JPatent/PJ_15Aug2025.pdf - Hearing Aid System and Method for Context-Aware Alarm Detection and Personalized Biometric Feedback — Granted; application 202411103051; patent IN 578276; inventors: Anukriti Kaushal, Sonal Gandhi, Anurag Goel, Rajeev Kumar; source: https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method for Securely Charging Electric Vehicle — Granted; application 202511054094; patent IN 588448; inventors: Ajit Kumar Yadav, Ayush Kumar, Dheeraj Joshi, Rajeev Kumar; source: https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Context-Aware Dynamic Access Control of Interactive Interfaces in User Devices — Granted; application 202511069726; patent IN 582601; inventors: Rajeev Kumar, Ankur, Franklin John, Shailender Kumar, Ananthan R, Ayush Kumar, Naveen Dahiya, Yogendra Mohan, Itti; source: https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method to Engage a Player in a Game Simulation — Granted; application 202511028807; patent IN 599946; inventors: Ayush Kumar, Rajeev Kumar; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2026%5C35_2026%5COfficial%20Journal%20%2835-2026%29%2028.08.2026%203rd%20docx.pdf - A System and Method for Prioritized Data Delivery — Granted; application 202511070240; patent IN 600475; inventors: Ajit Kumar Yadav, Rajeev Kumar; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2026%5C35_2026%5COfficial%20Journal%20%2835-2026%29%2028.08.2026%203rd%20docx.pdf - A Real-Time Adaptive Trust Routing for Underwater Software-Defined Networks System — Published; application 202511061850; patent —; inventors: Surjit Singh, Aman Verma, Ishan Panwar, Praval Kaushal, Devansh Gupta, Prayag Chawla; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2025%5C28_2025%5COfficial%20Journal%20%2828-2025%29%2011.07.2025%29%201st%20part.pdf - Method and System for Identification and Correction of Poisoned Training Samples in Deep Neural Network — Published; application 202611018498; patent —; inventors: Mahaveer Prasad, Vinod Kumar, Altaf Hussain, Rajeev Kumar; source: https://client2021.nsllegal.com/Public/JPatent/PJ_10Apr2026.pdf - Method and System for Detecting Virtual Private Network (VPN) Usage in a Communication Network — Granted; application 202511084334; patent IN 590173; inventors: Rajeev Kumar, Aruna Malik, Vikas Tyagi, Dr. Neeraj, Dr. Vijay, Samayveer Singh, Nikhil Gupta; source: https://www.dtu.ac.in/Web/rnd/Patents.html - Adaptive Audio Output System and Method Thereof — Granted; application 202511004867; patent IN 584506; inventors: Anurag Goel, Anukriti Kaushal, Meenakshi Diwan, Pallavi Ranjan, Rajeev Kumar; source: https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Automatic Transmission of Authentication Code — Granted; application 202411054265; patent IN 564225; inventors: Rajeev Kumar, Anurag Goel, Shailender Kumar, Pankaj Lathar, Ankur, Pallavi Ranjan, Pradeep Kamboj; source: https://www.dtu.ac.in/Web/Departments/CSE/patents/Patents%20Granted.pdf - Method and System for Generating Dynamic Alert in a Messaging Platform — Granted; application 202411062294; patent IN 568874; inventors: Pallavi Ranjan, Ankur, Navdeep Bohra, Neeti Sangwan, Saurabh Agarwal, Anurag Goel, Shailender Kumar, Rajeev Kumar; source: https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Enhancing Handwritten Content on a Smart Board — Granted; application 202411080365; patent IN 567890; inventors: Rajeev Kumar, Anurag Goel, Shailender Kumar, Pallavi Ranjan, Jai Chhillar, Yogendra Mohan, Ajit Kumar Singh Yadav, Abha Devi; source: https://www.dtu.ac.in/Web/rnd/Patents.html - System for Underwater Object Detection and Method Thereof — Granted; application 202411077385; patent IN 575681; inventors: Pallavi Ranjan, Anurag Goel, Rajeev Kumar; source: https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method for Secure Offline Face Verification — Published; application 202611045658; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - Federated Learning-Enabled Device for Dynamically Providing Personalized Content to a User — Published; application 202511058221; patent —; inventors: Rajeev Kumar, Shailender Kumar, Abha Devi; status source: Application publication in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Application publication and full inventor list are confirmed by the linked Patent Office journal. Published is a publication milestone, not a claim of current legal pendency or enforceability.; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2025%5C27_2025%5COfficial%20Journal%20%2827-2025%29%2004.07.2025%29%201st%20part.pdf Faculty source listings (not inventor attribution): rajeev-kumar institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - Multi-Signal Geo-Confidence and Temporal Biometric Attendance Authentication — Published; application 202611078107; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - Privacy-Preserving Face Representation System and Method — Published; application 202611006539; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - System and Method for Explainable-AI Guided Semantic Watermarking of Deep Neural Networks — Published; application 202611083599; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - Method and System for Adaptive Multi-Layer Detection of Money Mule Activity in Banking Cyber-Physical System — Published; application 202511117732; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - Method and System for Generating an Arrangement of a Set of Contacts — Published; application 202413071695; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar institutional date-label conflict: https://www.dtu.ac.in/modules/facilities/people/faculty/view.php?uname=sachintaran - System and Method for Updating Group Profile Image based on Topic and Argument Engagement Analysis — Published; application 202511046026; patent —; inventors: Rajeev Kumar, Pallavi Ranjan; status source: Application publication in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Application publication and full inventor list are confirmed by the linked Patent Office journal. Published is a publication milestone, not a claim of current legal pendency or enforceability.; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2025%5C22_2025%5COfficial%20Journal%20%2822-2025%29%2030.05.2025%29%201st%20part.pdf Faculty source listings (not inventor attribution): rajeev-kumar institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - Method and System for Automatically Determining Reward or Penalty Points to Calculate Insurance Premium — Published; application 202411000844; patent —; inventors: Rajeev Kumar, Amit Dua, Aruna Malik, Vikas Tyagi, Samayveer Singh, Vijay Kumar, Neeraj Kumar, Abha Devi; status source: Application publication in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Application publication and full inventor list are confirmed by the linked Patent Office journal. Published is a publication milestone, not a claim of current legal pendency or enforceability.; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C05_2024%5COfficial%20Journal%20%2805-2024%29%2002.02.2024%201st%20part.pdf Faculty source listings (not inventor attribution): rajeev-kumar institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr institutional annual report: https://dtu.ac.in/Web/IQAC/ar/pdf/ar23-24_english.pdf - A System and Method for Providing Personalized Guidance during Image Capturing — Published; application 202311076162; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - System for Detecting and Mitigating Poisoning Attacks in an Artificial Intelligence Model — Published; application 202611000383; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - A System and Method for Intelligently Charging Built-in Wireless Earphones — Published; application 202311024642; patent —; inventors: Samayveer Singh, Aruna Malik, Rajeev Kumar; status source: Application publication in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Application publication and full inventor list are confirmed by the linked Patent Office journal. Published is a publication milestone, not a claim of current legal pendency or enforceability.; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C06_2024%5COfficial%20Journal%20%2806-2024%29%2009.02.2024%201st%20part.pdf Faculty source listings (not inventor attribution): rajeev-kumar institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr - System and Method for Adaptive Video Resolution Switching — Granted; application 202411089667; patent IN 591412; inventors: Rajeev Kumar; inventor evidence: Names as listed by linked source; source: https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method for Quantifying and Predicting the Resilience of Agro-Ecosystems — Granted; application 202511006121; patent IN 580179; inventors: Rajeev Kumar, Kripal Singh, Pallavi Ranjan; inventor evidence: Names as listed by linked source; source: https://www.dtu.ac.in/Web/rnd/Patents.html - System and Method for Hiding Data in Images — Granted; application 202411087764; patent IN 572628; inventors: Ankur, Rajeev Kumar; inventor evidence: Names as listed by linked source; source: https://www.dtu.ac.in/Web/rnd/Patents.html - Method and System for Filtering Out Recipients for Broadcast Messages Based on Their Emotional State and Message Contents — Granted; application 202211052145; patent IN 444018; inventors: Rajeev Kumar, Shailender Kumar, Abha Devi; inventor evidence: Names as listed by linked source; source: https://www.dtu.ac.in/Web/Departments/CSE/patents/Patents%20Granted.pdf - A System for Adaptive Selection of High-Resolution Communication and Super-Resolution Communication — Published; application 202311024708; patent —; inventors: Aruna Malik, Samayveer Singh, Mohit Kumar, Rajeev Kumar; inventor evidence: Names as listed by linked source; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C07_2024%5COfficial%20Journal%20%2807-2024%29%2016.02.2024%201st%20part.pdf - System and Method for Adaptive Multi-Factor Biometric Authentication with Dynamic Obfuscation — Granted; application 202511041924; patent IN 595454; inventors: Rajeev Kumar, Sanjay Kumar, Saurabh Agarwal, Tushar Bhardwaj; status source: Grant notice in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Grant number and grant milestone are confirmed by the Patent Office grant notice published 17 July 2026; that issue date is not the exact grant date. Inventors and filing/publication dates follow the original application publication.; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2026%5C29_2026%5COfficial%20Journal%20%2829-2026%29%2017.07.2026%203rd%20docx.pdf Faculty source listings (not inventor attribution): rajeev-kumar institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr government patent application journal: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2025%5C20_2025%5COfficial%20Journal%20%2820-2025%29%2016.05.2025%29%201st%20part.pdf - System and Method for Backdoor Detection in Neural Networks using Path Diversity Decay Measurement — Published; application 202611028303; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - AI-Driven Configuration Clustering and Blockchain Privacy System — Granted; application 202411097543; patent IN 595248; inventors: Rajeev Kumar, Vinod Kumar, Shailender Kumar, Sonal Gandhi, Pallavi Ranjan, Ankur, Neeti Sangwan, Navdeep Bohra, Rahul Kumar; status source: Grant notice in the Indian Patent Office journal; inventor evidence: Inventors listed in the original Patent Office application publication; Grant number and grant milestone are confirmed by the Patent Office grant notice published 17 July 2026; that issue date is not the exact grant date. Inventors and filing/publication dates follow the original application publication.; source: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2026%5C29_2026%5COfficial%20Journal%20%2829-2026%29%2017.07.2026%203rd%20docx.pdf Faculty source listings (not inventor attribution): rajeev-kumar institutional faculty profile: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr government patent application journal: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C52_2024%5COfficial%20Journal%20%2852-2024%29%2027.12.2024%201st%20docx.pdf - System and Method for Adaptation of Video or Playlist Thumbnails based on User Preferences — Granted; application 202311072158; patent IN 576746; inventors: Rajeev Kumar, Shailender Kumar, Vinod Kumar, Pankaj Lathar, Anil Sangwan, Saurabh Agarwal, Ankur, Abha Devi; status source: Listed as Granted in the DTU faculty profile; inventor evidence: Inventors listed in the original Patent Office application publication; Status and application identity are reported in the linked DTU faculty profile. Inventors are listed in the original Patent Office application publication. Exact grant date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar original government application publication: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2023%5C51_2023%5COfficial%20Journal%20%2851-2023%29%2022.12.2023%201st%20part.pdf institutional annual report: https://dtu.ac.in/Web/IQAC/ar/pdf/ar23-24_english.pdf - System and Method for Personalized Guidance for Image Capturing — Granted; application 202311024707; patent IN 574725; inventors: Aruna Malik, Samayveer Singh, Rajeev Kumar; status source: Listed as Granted in the DTU faculty profile; inventor evidence: Inventors listed in the original Patent Office application publication; Status and application identity are reported in the linked DTU faculty profile. Inventors are listed in the original Patent Office application publication. Exact grant date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar government patent application journal: https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal?FileName=ipo-docs%5CIPIndia_Docs%5CPAT%5C2024%5C07_2024%5COfficial%20Journal%20%2807-2024%29%2016.02.2024%201st%20part.pdf - Intelligently Hiding Personal Application User Interface (UI) Elements — Granted; application 202311053513; patent IN 557182; inventors: Lalit K Awasthi, Rajeev Kumar, Samayveer Singh, Aruna Malik, Saurabh Agarwal, Tushar Bhardwaj, Abha Devi; status source: Listed as Granted in the DTU faculty profile; inventor evidence: Inventors listed in the institutional report; Status and application identity are reported in the linked DTU faculty profile. Inventors follow the linked institutional annual report; original government list has not been checked. Exact grant date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar institutional annual-report inventor list: https://nituk.ac.in/frontEnd/uk/annual_report/Annual%20Report%20%282023-24%29%20-%20English.pdf - Method for hiding private information — Granted; application 2041/DEL/2015; patent IN 440087; inventors: not stated; status source: Listed as Granted in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Exact grant date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar - A System and Method for Delivery of Products in Climate-Controlled Environment — Published; application 202511090578; patent —; inventors: not stated; status source: Listed as Published in the DTU faculty profile; inventor evidence: Inventor list not established from the reviewed sources; Status and application identity are reported in the linked DTU faculty profile. Full inventor list has not been independently established. Publication date is not established.; source: https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr Faculty source listings (not inventor attribution): rajeev-kumar ## News (4) - Nikhil Gupta receives Best Paper Award at ICSCCC 2026 [Award, 2026] — Nikhil Gupta received a Best Paper Award at the Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC 2026). The conference was held at Dr B R Ambedkar National Institute of Technology Jalandhar on May 29–31, 2026. His certificate identifies Paper ID 1124 in Session 4. View Nikhil’s profile · Open the award certificate Best Paper Award certificate for Nikhil Gupta, Paper ID 1124, Session 4, ICSCCC 2026 (https://nperseus.com/news/nikhil-gupta-best-paper-award-icsccc-2026) - Survey on reversible adversarial perturbations published at ICSCCC 2026 [Release, 2026] — Nikhil Gupta, Ankur and Rajeev Kumar published the survey at ICSCCC 2026, pp. 930–935 (IEEE DOI: 10.1109/ICSCCC69031.2026.11600314). (https://nperseus.com/news/survey-on-reversible-adversarial-perturbations-published-at-) - Two RDHEI papers published at ICSCCC 2026 [Release, 2026] — Ajit Kumar Yadav and Rajeev Kumar published papers on index-modulated and adaptive checkerboard-based reversible data hiding in encrypted images (IEEE DOIs: 10.1109/ICSCCC69031.2026.11600193 and 10.1109/ICSCCC69031.2026.11600293). (https://nperseus.com/news/two-rdhei-papers-published-at-icsccc-2026) - Rajeev Kumar received DTU Premier Research Excellence Award [Award, 2025] — Delhi Technological University recognised Rajeev Kumar with its Premier Research Excellence Award in 2025. (https://nperseus.com/news/rajeev-kumar-received-dtu-premier-research-excellence-award)