{"schemaVersion":"1.0","generatedAt":"2026-09-05T10:24:37.850Z","canonicalUrl":"https://nperseus.com","organization":{"id":"https://nperseus.com/#organization","name":"NPerseus Research Lab","alternateName":"NPerseus","description":"NPerseus is a Computer Science & Engineering research group at Delhi Technological University studying AI security, privacy, data hiding and multimedia forensics.","institution":"Delhi Technological University","department":"Department of Computer Science & Engineering","topics":["Adversarial machine learning","Reversible data hiding","Multimedia forensics","Privacy-preserving machine learning","Deepfake detection"]},"provenancePolicy":"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.","people":{"faculty":[{"id":"https://nperseus.com/team/faculty/rajeev-kumar#person","name":"Dr. Rajeev Kumar","role":"Assistant Professor","department":"Computer Science & Engineering, DTU","profileUrl":"https://nperseus.com/team/faculty/rajeev-kumar","image":"https://nperseus.com/faculty/rajeevkr.jpg","summary":"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.","researchInterests":["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"],"metrics":{"hIndex":"26 (Google Scholar; checked 2026-09-04)","i10Index":"55 (Google Scholar; checked 2026-09-04)","citations":"1,966 (Google Scholar; checked 2026-09-04)"},"education":["B.Tech., Information Technology, Uttar Pradesh Technical University, Lucknow, 2007","M.Tech., Computer Engineering, University of Delhi, 2012","Ph.D., Computer Engineering, University of Delhi, 2017","Postdoctoral research, Kyungil University, South Korea"],"positions":["Assistant Professor, Department of Computer Science & Engineering, DTU (since 11 December 2020)","Assistant Director (IPR-TT), Corporate Relations Office, DTU","Faculty In-Charge, Web Services, Computer Centre, DTU","Head, Drone Training Centre, DTU","In-Charge, Blockchain Technology Research Lab, DTU","Co-Incharge, Data Mining Lab, CSE, DTU","Co-Incharge, Artificial Intelligence Lab, CSE, DTU"],"awards":["Early Research Impact Award, DTU (2025)","Premier Research Excellence Award, DTU (2025)","Innovation Research Excellence Award, DTU (2024)","Commendable Research Excellence Award, DTU (2022, 2023, 2024 and 2025)","Brain Pool Plus Fellowship, National Research Foundation of Korea (awarded 2021 for three years)","Brain Pool Fellowship, Korean Research Foundation (awarded 2018 for one year)","GATE 2007, All India Rank 272"],"professionalRoles":["Associate Editor, Journal of Information Security and Applications (JISA), Elsevier","Associate Editor, Journal of Electronic Imaging (JEI), SPIE","Associate Editor, SN Computer Science, Springer","Associate Editor, IET Biometrics","Review Editor, Frontiers in Signal Processing","Editorial Board Member, Scientific Reports, Nature","Lead/Guest Editor for special issues in APSIPA Transactions on Signal and Information Processing, Computers Materials and Continua, Scientific Reports, Journal of Electronic Imaging, Journal of Information Security and Applications, and Journal of Internet Technology","Member, APSIPA Multimedia Security and Forensics Technical Committee","Session Chair at multiple international conferences (ICIPTM-2026, ICDT-2025, IC3-2025, ICDT-2024, 2021-2024)"],"fundedProjects":["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"],"projectRecordNote":"Curated profile project records; inclusion does not imply current activity or confirmed funding unless explicitly stated in the source.","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","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; 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; 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 Hiding Data in Images; Granted; application 202411087764; IN 572628; granted 2025-10-27; 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; https://www.dtu.ac.in/Web/rnd/Patents.html","System and Method for Adaptive Video Resolution Switching; Granted; application 202411089667; IN 591412; granted 2026-06-05; https://www.dtu.ac.in/Web/rnd/Patents.html"],"books":[],"verifiedAt":"2026-09-05","sources":[{"url":"https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr","label":"Official DTU faculty profile"},{"url":"https://www.dtu.ac.in/Web/Departments/CSE/faculty/","label":"DTU CSE faculty directory"},{"url":"https://dtu.irins.org/profile/212764","label":"DTU IRINS / Vidwan profile"},{"url":"https://orcid.org/0000-0002-5000-7644","label":"ORCID"},{"url":"https://dblp.org/pid/75/4223-7.html","label":"DBLP profile (Rajeev Kumar 0007)"},{"url":"https://scholar.google.com/citations?user=RkM_DrcAAAAJ&hl=en","label":"Google Scholar"},{"url":"https://www.dtu.ac.in/Web/rnd/ResearchAward2022.pdf","label":"DTU 2022 Research Excellence Award compendium"},{"url":"https://www.mdpi.com/2072-4292/18/2/196","label":"Publisher record for the 2026 Remote Sensing survey"}],"externalProfiles":["https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=rajeevkr","https://scholar.google.com/citations?user=RkM_DrcAAAAJ&hl=en","https://orcid.org/0000-0002-5000-7644","https://www.scopus.com/authid/detail.uri?authorId=57286968000","https://dtu.irins.org/profile/212764"]},{"id":"https://nperseus.com/team/faculty/anurag-goel#person","name":"Dr. Anurag Goel","role":"Assistant Professor","department":"Computer Science & Engineering, DTU","profileUrl":"https://nperseus.com/team/faculty/anurag-goel","image":"https://nperseus.com/faculty/anuraggoel.jpg","summary":"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.","researchInterests":["Machine Learning","Deep Learning","Deep Clustering","Graph Algorithms & Networks","Image Processing","AI for Social Good","Computational Creativity"],"metrics":{},"education":["Ph.D., Computer Science & Engineering, IIIT-Delhi, November 2023 — thesis: Deep Clustering; advisor: Prof. Angshul Majumdar","M.Tech., Computer Science & Engineering, IIIT-Delhi, 2017 — Gold Medal for Excellent Academic Performance","B.Tech., Computer Science & Engineering, SRM University–NCR Campus, 2012"],"positions":["Assistant Professor, CSE, Delhi Technological University (December 2020–present)","Assistant Professor, CSE & IT, Jaypee Institute of Information Technology, Noida (August 2017–December 2019)","System Engineer, Tata Consultancy Services, Noida (September 2012–May 2015)"],"awards":["Commendable Research Excellence Award, DTU (2025)","Best Paper Award, ICSTSN 2024 — Unveiling Anomalies: A Review of Anomaly Detection Through Lens of Explainable AI","Best Paper Award, ICSTSN 2023 — Blood Cell Classification using Neural Network Models","Commendable Research Excellence Award, DTU (2023)","Gold Medal for Excellent Academic Performance, M.Tech., IIIT-Delhi (2017)","Teaching Assistant Excellence Award, IIIT-Delhi","Academic Excellence Award, IIIT-Delhi (2016)","On-the-Spot Award, TCS (2014)","Academic Excellence Award, SRM University - NCR Campus (2011)"],"professionalRoles":["Senior Member, IEEE","Member, Computer Society of India (CSI)","Professional Member, Institute for Engineering Research and Publication (IFERP)","Session Chair, IC2SDT-2025 (NIT Delhi)","Session Chair, ICICCT-2024 (JNU New Delhi)","Coordinator (ERP/Automation/Website/Social Media), Office of Research and Development, DTU","Coordinator, Human Resource Development Centre (HRDC), DTU","Deputy Coordinator, Internal Quality Assurance Cell (IQAC), DTU","Coordinator, M.Tech by Research (CSE), DTU","Jury Member, Smart India Hackathon 2024","Peer Reviewer for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, Neurocomputing, IEEE Open Journal of Signal Processing, ICASSP, and EUSIPCO"],"fundedProjects":["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)"],"projectRecordNote":"Curated profile project records; inclusion does not imply current activity or confirmed funding unless explicitly stated in the source.","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"],"books":[],"verifiedAt":"2026-09-05","sources":[{"url":"https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=anuraggoel","label":"Official DTU faculty profile"},{"url":"https://www.dtu.ac.in/Web/Departments/CSE/faculty/","label":"DTU CSE faculty directory"},{"url":"https://repository.iiitd.edu.in/xmlui/handle/123456789/1313","label":"IIIT-Delhi thesis repository"},{"url":"https://iiitd.ac.in/convocation2024/studentcorner.html","label":"IIIT-Delhi 2024 convocation record"},{"url":"https://www.iiitd.ac.in/convocation17/awardees.html","label":"IIIT-Delhi 2017 awardees"},{"url":"https://orcid.org/0000-0003-2660-7540","label":"ORCID"},{"url":"https://dblp.org/pid/17/5399.html","label":"DBLP author profile"},{"url":"https://sites.google.com/view/anurag-goel/home","label":"Personal academic site"},{"url":"https://www.dtu.ac.in/Web/Departments/CSE/patents/Patents%20Granted.pdf","label":"DTU granted-patent register"},{"url":"https://www.dtu.ac.in/Web/rnd/office%20order%20list%20of%20approved%20projects.pdf","label":"DTU approved-project list"}],"externalProfiles":["https://www.dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=anuraggoel","https://orcid.org/0000-0003-2660-7540","https://www.scopus.com/authid/detail.uri?authorId=57271939500","https://sites.google.com/view/anurag-goel/home"]},{"id":"https://nperseus.com/team/faculty/anukriti-kaushal#person","name":"Ms. Anukriti Kaushal","role":"Assistant Professor","department":"Computer Science & Engineering, DTU","profileUrl":"https://nperseus.com/team/faculty/anukriti-kaushal","image":"https://nperseus.com/faculty/anukritikaushal.jpg","summary":"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.","researchInterests":["Image Forensics","Deepfake Detection","Deep Learning","Information Security","Computer Vision","Large Language Models","Machine Learning","Backdoor Attack Mitigation in Deep Neural Networks"],"metrics":{"hIndex":"5 (Google Scholar; checked 2026-09-05)","i10Index":"4 (Google Scholar; checked 2026-09-05)","citations":"130 (Google Scholar; checked 2026-09-05)"},"education":["Ph.D. (Pursuing), Computer Science & Engineering, Delhi Technological University (August 2021–ongoing); thesis: Development of Intelligent Image-Forensic Strategies","M.Tech., Software Engineering, Delhi Technological University (August 2017–September 2019); thesis: Symmetric Key Encryption Based on DNA Cryptography","B.Tech., Computer Science & Engineering, Atma Ram Sanatan Dharma College, University of Delhi (August 2013–May 2017)","Qualifying examination: GATE, Computer Science & Engineering — qualified in 2017 and 2019","Qualifying examination: UGC-NET and JRF, Computer Science — qualified in 2019"],"positions":["Assistant Professor (Regular), Department of Computer Science & Engineering, Delhi Technological University (December 2020–present)","Deputy Coordinator (IPR-TT), Office of the Dean (Corporate Relations), Delhi Technological University (August 2025–present)","Co-In-Charge, DBMS Lab, CSE Department, DTU (also listed as an officer in charge in the CSE laboratories document)","Configuration Management Intern, Mentor Graphics, Noida (January–June 2019)","Summer Intern, Sparx IT Solutions Pvt. Ltd., Noida (May–July 2016)"],"awards":[],"professionalRoles":["Certified ISO 9001:2015 Auditor (Quality Management Systems)","ISO Team Member, CSE Department, DTU (2023–24, 2024–25)","Mid-Semester Examination Committee Member, CSE Department (2023–24, 2024–25, 2025–26)","Registration-cum-Orientation Committee Member for the B.Tech. Induction Programme (2023–24, 2024–25, 2025–26)","Courses taught: Programming (C/C++), Data Structures, Computer Networks, Distributed Systems, Machine Learning, Compiler Design and Deep Learning","M.Tech. research supervision listed by DTU: Manish Kumar, Arpit Mahlawant, Rishabh Chauhan, Abhishek Maurya, Sakshi Shakya and Aditya Sharma (student identifiers omitted)","Delivered a two-day faculty-development programme on cloud computing, machine learning, MATLAB, reinforcement learning and research methodology at MMH College, Ghaziabad (22–23 September 2023)","Member, committee for review and revision of the DTU IPR Policy (2017)"],"fundedProjects":["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-Investigator; DTU-sponsored Faculty Interdisciplinary Research Project (FIRP), 2026."],"projectRecordNote":"Curated profile project records; inclusion does not imply current activity or confirmed funding unless explicitly stated in the source.","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"],"books":[],"verifiedAt":"2026-09-05","sources":[{"url":"https://dtu.ac.in/modules/facilities/people/faculty/view.php?uname=anukritikaushal","label":"Official DTU faculty profile"},{"url":"https://dtu.ac.in/modules/faculty_profile_new/faculty_index.php?uname=anukritikaushal","label":"DTU profile archive: publications and service"},{"url":"https://www.dtu.ac.in/Web/Departments/CSE/faculty/","label":"DTU CSE faculty directory"},{"url":"https://www.dtu.ac.in/Web/Departments/CSE/Laboratories_and_Infrastructure.pdf","label":"DTU CSE laboratories and officers in charge"},{"url":"https://dtu.irins.org/profile/212795","label":"DTU IRINS / Vidwan profile"},{"url":"https://scholar.google.com/citations?user=R7H_2aMAAAAJ&hl=en","label":"Google Scholar"},{"url":"https://www.dtu.ac.in/Web/rnd/Patents.html","label":"DTU patent register"}],"externalProfiles":["https://dtu.ac.in/modules/facilities/people/faculty/view.php?uname=anukritikaushal","https://scholar.google.com/citations?user=R7H_2aMAAAAJ&hl=en","https://www.scopus.com/authid/detail.uri?authorId=58178665700","https://dtu.irins.org/profile/212795"]}],"members":[{"id":"https://nperseus.com/team/ajit-kumar-yadav#person","name":"Ajit Kumar Yadav","role":"Full-time Ph.D. Candidate","status":"Current member","profileUrl":"https://nperseus.com/team/ajit-kumar-yadav","image":"https://nperseus.com/uploads/ajit-kumar-yadav-photo.jpg","headline":"Full-time Ph.D. candidate @ DTU · Reversible data hiding & AI security","summary":"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.","researchFocus":"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"],"projects":[{"title":"High-Capacity Reversible Data Hiding in Encrypted Images","description":"DTU-recorded M.Tech (Research) thesis topic aligned with his two IEEE ICSCCC 2026 papers."},{"title":"MRI Brain Tumor Segmentation","description":"public TensorFlow/Keras notebook implementing ResUNet segmentation with focal Tversky loss."},{"title":"Carotid Artery Segmentation","description":"public TensorFlow/Keras U-Net notebook for ultrasound-image segmentation."},{"title":"Vehicle Insurance MLOps","description":"public FastAPI training and prediction pipeline with MongoDB ingestion, S3 model storage and Docker packaging."}],"externalProfiles":["https://www.linkedin.com/in/ajit-kumar-yadav/","https://github.com/ajit252001","https://scholar.google.com/citations?user=XIzsoToAAAAJ&hl=en","https://orcid.org/0009-0002-3794-7380"]},{"id":"https://nperseus.com/team/ganesh-immanni-zmr9b0#person","name":"Ganesh Immanni","role":"Ph.D. Scholar","status":"Current member","profileUrl":"https://nperseus.com/team/ganesh-immanni-zmr9b0","image":"https://nperseus.com/uploads/ganesh-immanni-zmr9b0-photo.jpg","headline":"Ph.D. Scholar @ DTU · Neural Network Security","summary":"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.","researchFocus":"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"],"projects":[{"title":"Vehicle Number Plate Extraction","description":"developed a CNN/OCR pipeline in Python using OpenCV, imutils and Tesseract for traffic-monitoring images."},{"title":"Medicine Donation System","description":"developed a PHP and MySQL web portal for donating unused medicines."}],"externalProfiles":["https://www.linkedin.com/in/ganesh-immanni-57b285219/","https://github.com/Ganesh12558"]},{"id":"https://nperseus.com/team/meenakshi-diwan#person","name":"Meenakshi Diwan","role":"Full-time Ph.D. Candidate","status":"Current member","profileUrl":"https://nperseus.com/team/meenakshi-diwan","image":"","headline":"Ph.D. candidate @ DTU · Social-media image forensics","summary":"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.","researchFocus":"Robust Models for Social Media Image Forensics","skills":["Social-Media Image Forensics","Image Forensics","Robust Machine Learning Models"],"projects":[{"title":"Design and Development of Robust Models for Social Media Image Forensics","description":"full-time Ph.D. research under Rajeev Kumar, with Anurag Goel as co-supervisor at DTU."}],"externalProfiles":[]},{"id":"https://nperseus.com/team/mohammad-aakil-xgqp6y#person","name":"Mohammad Aakil","role":"Ph.D. Scholar","status":"Current member","profileUrl":"https://nperseus.com/team/mohammad-aakil-xgqp6y","image":"","headline":"Ph.D. Research Scholar @ DTU (advised by Dr. Rajeev Kumar) — AI Security, Steganography, LLMs","summary":"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.","researchFocus":"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"],"projects":[{"title":"Scann2Eat","description":"Java/Spring Boot prototype for food-product APIs, QR-code generation and basic payment-transaction records, using configurable H2/MySQL storage."},{"title":"Recipe Bazaar","description":"built a web application for discovering and managing recipes."},{"title":"AI Desktop Voice Assistant","description":"developed a voice-driven desktop assistant integrating automation and information-retrieval tasks."}],"externalProfiles":["https://www.linkedin.com/in/mohammad-aakil/","https://github.com/aakilk735","https://orcid.org/0009-0001-8384-4545"]},{"id":"https://nperseus.com/team/nikhil-gupta#person","name":"Nikhil Gupta","role":"Full-time Ph.D. Candidate","status":"Current member","profileUrl":"https://nperseus.com/team/nikhil-gupta","image":"https://nperseus.com/uploads/nikhil-gupta-photo.jpg","headline":"Ph.D. candidate @ DTU · Trustworthy AI & adversarial robustness","summary":"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.","researchFocus":"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"],"projects":[{"title":"Enabling Technologies for Trustworthy Artificial Intelligence","description":"Ph.D. research on adversarial robustness and trustworthy AI, including reversible adversarial perturbations."}],"externalProfiles":["https://orcid.org/0009-0005-3520-1317"]},{"id":"https://nperseus.com/team/shray-gupta#person","name":"Shray Gupta","role":"Ph.D. Scholar","status":"Current member","profileUrl":"https://nperseus.com/team/shray-gupta","image":"https://nperseus.com/uploads/shray-gupta-photo.jpg","headline":"Ph.D. Scholar @ DTU · Hyperspectral Imaging and Trustworthy AI","summary":"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.","researchFocus":"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"],"projects":[{"title":"3DHyCA hyperspectral denoising","description":"co-developed a 3D convolutional autoencoder combining residual learning and hybrid channel attention to remove mixed noise from hyperspectral images."},{"title":"Remote Sensing Cube Classification","description":"applied contrastive learning to spectral-spatial feature extraction and hyperspectral cube classification."},{"title":"Adaptive Multimodal Fusion","description":"developed a network for robust classification using multi-source features."},{"title":"Risk-Aware Poisoning Defense","description":"developed a machine-learning framework for detecting and mitigating data-poisoning attacks."}],"externalProfiles":["https://www.linkedin.com/in/shray-gupta-a77181135/","https://scholar.google.com/citations?user=X6VN2O8AAAAJ&hl=en"]},{"id":"https://nperseus.com/team/aaditya-shrivastava#person","name":"Aaditya Shrivastava","role":"M.Tech (Cyber Security) Student, DTU","status":"Current member","profileUrl":"https://nperseus.com/team/aaditya-shrivastava","image":"","headline":"M.Tech (Cyber Security), DTU (2025–2027 expected) · Federated learning","summary":"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.","researchFocus":"Federated Learning","skills":["Federated Learning","Cyber Security","Machine Learning","Digital Forensics","Web Application Security","Cloud and IoT Security","Python"],"projects":[],"externalProfiles":[]},{"id":"https://nperseus.com/team/ishan-panwar#person","name":"Ishan Panwar","role":"M.Tech Student","status":"Current member","profileUrl":"https://nperseus.com/team/ishan-panwar","image":"","headline":"M.Tech Cybersecurity @ DTU · AI backdoor defense","summary":"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.","researchFocus":"AI Backdoor Defense","skills":["AI Security","Backdoor Defense","Adversarial Machine Learning","PyTorch","Network Security","Rust","LLVM","Docker","Ansible","Linux"],"projects":[{"title":"AI Backdoor Defense","description":"studies model behavior and gradient-entropy signals for detecting backdoored models from adversarial inputs."},{"title":"NES2ELF Static Recompiler","description":"explored binary translation and compiler tooling using Rust and LLVM."},{"title":"Linux Li-Fi Drivers","description":"experimental Raspberry Pi/Linux driver project for light-based data communication, published as Laser-Driver."},{"title":"PS2Translate","description":"experimental PlayStation 2 binary translator built with Rust and LLVM tooling."},{"title":"Trust-Aware Underwater Routing","description":"contributed to a Q-learning-based routing system for underwater software-defined networks."}],"externalProfiles":["https://www.linkedin.com/in/ishan-panwar-58b326290/","https://github.com/IshanPanwar"]},{"id":"https://nperseus.com/team/mahaveer-prasad#person","name":"Mahaveer Prasad","role":"M.Tech Student","status":"Current member","profileUrl":"https://nperseus.com/team/mahaveer-prasad","image":"","headline":"M.Tech Student at DTU · Adversarial ML, backdoor defense and network security","summary":"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.","researchFocus":"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"],"projects":[{"title":"ShortcutProbe research","description":"the published study investigates inference-time backdoor-sample detection through internal stability analysis."},{"title":"Multi-Signal Backdoor Defense research","description":"the published framework combines model signals to detect poisoned samples and correct their labels."},{"title":"Protocol-Aware Robustness Evaluation research","description":"the published study evaluates deep-learning network intrusion-detection systems while preserving protocol semantics."},{"title":"Android Malware Characterization research","description":"the published study classifies Android malware using high-level behavioral features."}],"externalProfiles":["https://dblp.org/pid/431/5238.html"]},{"id":"https://nperseus.com/team/shaili-bansal#person","name":"Shaili Bansal","role":"M.Tech (Artificial Intelligence) Student","status":"Current member","profileUrl":"https://nperseus.com/team/shaili-bansal","image":"https://nperseus.com/uploads/shaili-bansal-photo.jpg","headline":"M.Tech (Artificial Intelligence), DTU (2025–2027 expected) · GATE qualified","summary":"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.","researchFocus":"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"],"projects":[{"title":"Self-Healing RAG","description":"a policy-document question-answering prototype combining risk detection, adaptive retrieval, answer evaluation, evidence checks and retrieval repair.","sourceUrl":"https://github.com/shailibansal/self-healing-rag"},{"title":"Self-Correcting Code Agent","description":"a Python/Ollama prototype that checks syntax, generates code corrections and retries following execution errors.","sourceUrl":"https://github.com/shailibansal/self-correcting-code-agent"},{"title":"Medical Literature Assistant","description":"a prototype retrieving PubMed literature and generating answers with retrieved sources.","sourceUrl":"https://github.com/shailibansal/medical-ai-assistant"},{"title":"AI-Powered Metro Train Operations Management System (2025)","description":"a prototype integrating Excel, PDF and CSV operational data, train-readiness dashboards and train-induction scheduling."}],"externalProfiles":["https://www.linkedin.com/in/shaili-bansal-8218a425b/","https://github.com/shailibansal"]},{"id":"https://nperseus.com/team/ayush-kumar#person","name":"Ayush Kumar","role":"B.Tech Student","status":"Current member","profileUrl":"https://nperseus.com/team/ayush-kumar","image":"https://nperseus.com/uploads/ayush-kumar-photo.jpg","headline":"B.Tech CSE student at DTU · Android security · Vulnerability research · Indian patent co-inventor","summary":"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.","researchFocus":"Android Security, Vulnerability Research and Secure Systems","skills":["Android Security","Vulnerability Research","Kotlin","Java","Python","TypeScript","React / Next.js","FastAPI","Docker"],"projects":[{"title":"NPerseus Research Platform","description":"built and maintains a full-stack research-group platform for member profiles, publications, projects and collaboration workflows."},{"title":"VPN-Detect Collector (vpn-collector-android)","description":"Android companion app for consent-based VPN-detection research, coordinating PCAPdroid capture and research uploads with labels by construction.","sourceUrl":"https://github.com/Ayushkiller/vpn-collector-android"},{"title":"Translation Service (Transaltion-Service)","description":"Python and FastAPI project for PDF extraction, Gemini-assisted translation and layout reconstruction, with command-line and web interfaces.","sourceUrl":"https://github.com/Ayushkiller/Transaltion-Service"},{"title":"Dockingcode (DocingCodeV1)","description":"React and Node.js documentation prototype that analyses repository source, generates AI-assisted descriptions and publishes them to a GitHub wiki with progress updates.","sourceUrl":"https://github.com/Ayushkiller/DocingCodeV1"},{"title":"CryptoScore (BlockCreditScore)","description":"TypeScript, React and Express prototype for exploring Ethereum wallet activity through transaction analysis, scoring rules and dashboards; not a validated credit-rating service.","sourceUrl":"https://github.com/Ayushkiller/BlockCreditScore"},{"title":"Vyvsai (Team-Vyvsai)","description":"contributed to a React-based tender discovery and bidding platform with account, tender-browsing, subscription and document-upload interfaces.","sourceUrl":"https://github.com/Ayushkiller/Team-Vyvsai"},{"title":"GitHub Reviewer Tool (GithubScraperTool)","description":"Java and Spring Boot developer tool for retrieving public repositories and inspecting source structure with configurable heuristic complexity scores.","sourceUrl":"https://github.com/Ayushkiller/GithubScraperTool"},{"title":"TheSelectors","description":"React and Material UI interview-management prototype with interview creation, expert listings, search and a skill-discussion interface.","sourceUrl":"https://github.com/Ayushkiller/TheSelectors"},{"title":"RapidNew","description":"Java Mindustry plugin for automatic item and liquid replenishment using cached building requirements; RapidNew and Radpid-MindustryPlugin are versions of the same project family.","sourceUrl":"https://github.com/Ayushkiller/RapidNew"},{"title":"DTU Research Portal (historical)","description":"contributed to a React and Express paper-submission and review-workflow application; its repository explicitly marks the project abandoned and no longer maintained.","sourceUrl":"https://github.com/Ayushkiller/dtu-research-portal"},{"title":"Embotic Android app (historical contribution)","description":"contributed Kotlin application and layout changes to a hosting-services app; its repository explicitly marks the project abandoned.","sourceUrl":"https://github.com/Ayushkiller/EmboticHostingApp"}],"externalProfiles":["https://www.linkedin.com/in/ayush-kumardev/","https://github.com/Ayushkiller","https://orcid.org/0009-0005-0256-1818","https://bugcrowd.com/h/Alpfha","https://hackerone.com/alpfha?type=user"]},{"id":"https://nperseus.com/team/priyanshu-yadav#person","name":"Priyanshu Yadav","role":"B.Tech Intern","status":"Current member","profileUrl":"https://nperseus.com/team/priyanshu-yadav","image":"","headline":"B.Tech CSE @ DTU · Backdoor Detection and Neural Network Security","summary":"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.","researchFocus":"Backdoor Security in Data Distillation","skills":["Neural Network Security","Deep Learning","Machine Learning","Computer Vision","Python","C++","Java","JavaScript","React","MERN Stack"],"projects":[{"title":"Backdoor Attacks and Detection in Data Distillation (ongoing)","description":"investigates vulnerabilities in distilled datasets and develops poisoned-sample detection methods using feature-space analysis, layer-wise representation consistency, Mahalanobis distance and feature similarity."},{"title":"Face Anti-Spoofing Detection System","description":"developed a MobileNetV2-based presentation-attack detection pipeline on the LCC FASD dataset, with augmentation and preprocessing for varied spoofing conditions."},{"title":"QuickDraw Online Game","description":"built a MERN application that uses CNN, MobileNetV2 and ResNet models to classify sketches from the Google QuickDraw dataset."},{"title":"Language-learning speaking-practice project (announced)","description":"co-announced a collaborative project focused on accessible conversational practice."}],"externalProfiles":["https://www.linkedin.com/in/priyanshu-yadav-79b538203/"]},{"id":"https://nperseus.com/team/aditya-kumar-chaudhary#person","name":"Aditya Kumar Chaudhary","role":"M.Tech (Artificial Intelligence), DTU","status":"Alumnus","profileUrl":"https://nperseus.com/team/aditya-kumar-chaudhary","image":"","headline":"M.Tech (Artificial Intelligence), DTU (2024–2026)","summary":"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.","researchFocus":"Reversible Data Hiding in Encrypted Images","skills":["Python","C++","Machine Learning","Deep Learning","SQL","NumPy","Power BI","FastAPI"],"projects":[{"title":"CNN Predictor for Reversible Data Hiding in Encrypted Images","description":"M.Tech thesis work on prediction for privacy-preserving image data hiding."},{"title":"House Price Prediction","description":"built an end-to-end regression pipeline with pandas, scikit-learn and gradient boosting, exposed through a FastAPI service."},{"title":"Pneumonia Detection","description":"trained and evaluated a transfer-learning CNN for chest X-ray classification."},{"title":"IoT Prototypes","description":"developed NodeMCU-based home automation and an LPG/smoke leakage detector."}],"externalProfiles":["https://www.linkedin.com/in/aditya-chaudhary-23nov/"]},{"id":"https://nperseus.com/team/kushagra-gupta#person","name":"Kushagra Gupta","role":"M.Tech Alumnus","status":"Alumnus","profileUrl":"https://nperseus.com/team/kushagra-gupta","image":"","headline":"Associate Consultant, Forensics at EY · M.Tech Alumnus, DTU","summary":"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.","researchFocus":"Data Science and Artificial Intelligence","skills":["Python","Machine Learning","SQL","PySpark","Azure","Power BI","Dart/Flutter"],"projects":[{"title":"Flutter Note Keeper","description":"prioritized notes, Sqflite storage and persistent dark theme."},{"title":"Flutter Animated Stopwatch","description":"circular timer with notification-area play/pause controls."}],"externalProfiles":["https://www.linkedin.com/in/kushagra-gupta-066778149","https://github.com/kushagragupta08"]},{"id":"https://nperseus.com/team/dr-sonal-gandhi#person","name":"Dr. Sonal Gandhi","role":"Assistant Professor, School of Computer Science Engineering and Technology (SCSET), Bennett University","status":"Alumnus","profileUrl":"https://nperseus.com/team/dr-sonal-gandhi","image":"https://nperseus.com/uploads/dr-sonal-gandhi-photo.jpg","headline":"Assistant Professor, Bennett University · Ph.D. (CSE), Delhi Technological University · Reversible data hiding and medical-image security","summary":"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.","researchFocus":"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"],"projects":[{"title":"Doctoral thesis research — Development of Data Hiding Methods for Content Protection in Medical Domain","description":"research on reversible data-hiding and deep-learning methods for protecting medical-image content."}],"externalProfiles":["https://www.linkedin.com/in/dr-sonal-gandhi-chachra-7b1b9235/","https://scholar.google.com/citations?user=apU0dvcAAAAJ&hl=en"]}]},"publications":[{"id":"https://doi.org/10.1007/s11760-026-05174-z","title":"3D hybrid convolutional autoencoder for hyperspectral image denoising","authors":"Shray Gupta & Anurag Goel","venue":"Signal, Image and Video Processing, vol. 20(3), article 124","year":2026,"doi":"10.1007/s11760-026-05174-z","recordSource":"Cross-listed in faculty and member records","workType":"Journal article","citationSnapshot":null},{"id":"https://doi.org/10.1201/9781003743774-71","title":"A Deep Learning-Based Multimodal Cyberbullying Detection Framework Using DistilBERT ResNet50 and Cross-Modal Attention","authors":"Anurag Pandey, Jeba Nega Cheltha, Sonal Gandhi","venue":"Sustainable Developments in Computer Engineering, Green Technology and Smart Systems, pp. 444–449","year":2026,"doi":"10.1201/9781003743774-71","recordSource":"Member-submitted and curator-reviewed","workType":"Book chapter","citationSnapshot":null},{"id":"https://doi.org/10.3390/rs18020196","title":"A Dive into Generative Adversarial Networks in the World of Hyperspectral Imaging: A Survey of the State of the Art","authors":"Pallavi Ranjan, Ankur Nandal, Saurabh Agarwal, Rajeev Kumar","venue":"Remote Sensing, vol. 18(2), article 196","year":2026,"doi":"10.3390/rs18020196","recordSource":"Faculty-curated","workType":"Journal article","citationSnapshot":null},{"id":"https://doi.org/10.1007/s40745-025-00671-3","title":"A Residual Pyramid-GAN Approach for Hyperspectral Image Classification","authors":"Pallavi Ranjan, Ankur, Rajeev Kumar","venue":"Annals of Data Science","year":2026,"doi":"10.1007/s40745-025-00671-3","recordSource":"Faculty-curated","workType":"Journal article","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICSCCC69031.2026.11600314","title":"A Survey on Reversible Adversarial Perturbations","authors":"Nikhil Gupta, Ankur, Rajeev Kumar","venue":"2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 930–935","year":2026,"doi":"10.1109/ICSCCC69031.2026.11600314","recordSource":"Cross-listed in faculty and member records","workType":"Conference paper","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICSCCC69031.2026.11600051","title":"A Unified Multi-Signal Indicator Framework for Backdoor Detection and Label Correction in Deep Neural Networks","authors":"Mahaveer Prasad, Vinod Kumar","venue":"2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 368–373","year":2026,"doi":"10.1109/ICSCCC69031.2026.11600051","recordSource":"Member-submitted and curator-reviewed","workType":"Conference paper","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICSCCC69031.2026.11600293","title":"Adaptive Weighted Predictor for Checkerboard based Reversible Data Hiding in Encrypted Images","authors":"Ajit Kumar Yadav, Rajeev Kumar","venue":"2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 338–343","year":2026,"doi":"10.1109/ICSCCC69031.2026.11600293","recordSource":"Cross-listed in faculty and member records","workType":"Conference paper","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICSCCC69031.2026.11600202","title":"Adversarial Robustness in Deep Learning-based Network Intrusion Detection Systems: A Defense-Centric Systematic Review","authors":"Aastha Ahlawat, Anurag Goel","venue":"2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 183–188","year":2026,"doi":"10.1109/ICSCCC69031.2026.11600202","recordSource":"Faculty-curated","workType":"Conference paper","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICSCSS69635.2026.11645896","title":"An Adaptive Defense Framework for Enhancing Adversarial Robustness in Deep Learning-based Network Intrusion Detection Systems","authors":"Aastha Ahlawat, Anurag Goel","venue":"2026 4th International Conference on Sustainable Computing and Smart Systems (ICSCSS), pp. 583–589","year":2026,"doi":"10.1109/ICSCSS69635.2026.11645896","recordSource":"Faculty-curated","workType":"Conference paper","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICCMC69250.2026.11624993","title":"Conditional Diffusion Framework for Hybrid Image Synthesis: Towards Photorealistic and Geometry Aware Generation","authors":"Kanika Verma, Khushi Aggarwal, Pradipti Singh, Anurag Goel","venue":"2026 9th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1163–1168","year":2026,"doi":"10.1109/ICCMC69250.2026.11624993","recordSource":"Faculty-curated","workType":"Conference paper","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICSCCC69031.2026.11600307","title":"Cross-Domain Feature Fusion with Dense Convolution and Transformer Attention for Image Manipulation Chain Detection","authors":"Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar","venue":"2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 614–618","year":2026,"doi":"10.1109/ICSCCC69031.2026.11600307","recordSource":"Faculty-curated","workType":"Conference paper","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICSCCC69031.2026.11600379","title":"Detecting Backdoored Models using Gradient Entropy Analysis of Adversarial Inputs","authors":"Ishan Panwar, Anukriti Kaushal, Abhishek Jain, Rajeev Kumar, Altaf Husain, Jitendra Singh","venue":"2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 1007–1012","year":2026,"doi":"10.1109/ICSCCC69031.2026.11600379","recordSource":"Cross-listed in faculty and member records","workType":"Conference paper","citationSnapshot":null},{"id":"https://doi.org/10.1109/TNSM.2025.3618766","title":"Dynamic Energy Management in Heterogeneous Sensor Networks Using Hippopotamus-Inspired Clustering","authors":"Samayveer Singh, Aruna Malik, Vikas Tyagi, Rajeev Kumar, Neeraj Kumar, Shakir Khan, Mohd Fazil","venue":"IEEE Transactions on Network and Service Management, vol. 23, pp. 156–165","year":2026,"doi":"10.1109/TNSM.2025.3618766","recordSource":"Faculty-curated","workType":"Journal article","citationSnapshot":null},{"id":"https://doi.org/10.1109/TNSM.2025.3627535","title":"Greylag Goose-Based Optimized Cluster Routing for IoT-Based Heterogeneous Wireless Sensor Networks","authors":"Aruna Malik, Sandeep Verma, Samayveer Singh, Rajeev Kumar, Neeraj Kumar","venue":"IEEE Transactions on Network and Service Management, vol. 23, pp. 340–349","year":2026,"doi":"10.1109/TNSM.2025.3627535","recordSource":"Faculty-curated","workType":"Journal article","citationSnapshot":null},{"id":"https://doi.org/10.1109/ICSCCC69031.2026.11600193","title":"Index-Modulated High-Capacity Reversible Data Hiding in Encrypted Images","authors":"Ajit Kumar Yadav, Rajeev Kumar","venue":"2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 332–337","year":2026,"doi":"10.1109/ICSCCC69031.2026.11600193","recordSource":"Cross-listed in faculty and 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adversarial perturbations published at ICSCCC 2026","url":"https://nperseus.com/news/survey-on-reversible-adversarial-perturbations-published-at-","year":"2026","type":"Release","summary":"Nikhil Gupta, Ankur and Rajeev Kumar published the survey at ICSCCC 2026, pp. 930–935 (IEEE DOI: 10.1109/ICSCCC69031.2026.11600314)."},{"title":"Two RDHEI papers published at ICSCCC 2026","url":"https://nperseus.com/news/two-rdhei-papers-published-at-icsccc-2026","year":"2026","type":"Release","summary":"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)."},{"title":"Rajeev Kumar received DTU Premier Research Excellence Award","url":"https://nperseus.com/news/rajeev-kumar-received-dtu-premier-research-excellence-award","year":"2025","type":"Award","summary":"Delhi Technological University recognised Rajeev Kumar with its Premier Research Excellence Award in 2025."}]}