
Dr. Rajeev Kumar
Assistant Professor
Faculty, Ph.D. scholars, M.Tech researchers and undergraduate students working on neural network security and privacy, digital forensics, secure communication and copyright protection, together with alumni who helped establish the lab’s foundations.

Assistant Professor

Assistant Professor

Assistant Professor
15 active researchers · 6 Ph.D. scholars · 5 alumni
Counts include faculty. Only approved public profiles appear below.

Full-time Ph.D. Candidate
Full-time Ph.D. candidate @ DTU · Reversible data hiding & AI security
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.
Focus: Reversible Data Hiding in Encrypted Images, Image Security, Backdoor Detection in Neural Networks

Ph.D. Scholar
Ph.D. Scholar @ DTU · Neural Network Security
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.
Focus: Neural Network Watermarking, Model Theft and Backdoor Defense
Full-time Ph.D. Candidate
Ph.D. candidate @ DTU · Social-media image forensics
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.
Focus: Robust Models for Social Media Image Forensics

Ph.D. Scholar
Ph.D. Research Scholar @ DTU (advised by Dr. Rajeev Kumar) — AI Security, Steganography, LLMs
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.
Focus: AI Security, Steganography and Large Language Models

Full-time Ph.D. Candidate
Ph.D. candidate @ DTU · Trustworthy AI & adversarial robustness
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.
Focus: Enabling Technologies for Trustworthy Artificial Intelligence, Adversarial Machine Learning, AI Security and Robustness

Ph.D. Scholar
Ph.D. Scholar @ DTU · Hyperspectral Imaging and Trustworthy AI
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.
Focus: Hyperspectral Image Restoration and AI Security
M.Tech (Cyber Security) Student, DTU
M.Tech (Cyber Security), DTU (2025–2027 expected) · Federated learning
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.
Focus: Federated Learning
M.Tech Student
M.Tech Cybersecurity @ DTU · AI backdoor defense
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.
Focus: AI Backdoor Defense
M.Tech Student
M.Tech Student at DTU · Adversarial ML, backdoor defense and network security
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.
Focus: Adversarial Machine Learning, Backdoor and Data-Poisoning Defense, Network Intrusion Detection, Android Malware Analysis

M.Tech (Artificial Intelligence) Student
M.Tech (Artificial Intelligence), DTU (2025–2027 expected) · GATE qualified
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.
Focus: Machine Learning and Deep Learning

B.Tech CSE student at DTU · Android security · Vulnerability research · Indian patent co-inventor
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.
Focus: Android Security, Vulnerability Research and Secure Systems
B.Tech Student
B.Tech CSE @ DTU · Backdoor Detection and Neural Network Security
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.
Focus: Backdoor Security in Data Distillation
M.Tech (Artificial Intelligence), DTU
M.Tech (Artificial Intelligence), DTU (2024–2026)
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.
Focus: Reversible Data Hiding in Encrypted Images
M.Tech Alumnus
Associate Consultant, Forensics at EY · M.Tech Alumnus, DTU
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.
Focus: Data Science and Artificial Intelligence

Assistant Professor (AI and Big Data)
Assistant Professor at the University of Wollongong in Dubai
Pallavi Ranjan is a NPerseus alumna and an Assistant Professor of AI and Big Data at the University of Wollongong in Dubai, where she teaches on the Master of Applied Artificial Intelligence programme. Her research covers computer vision, generative AI and hyperspectral imaging, with applications in remote sensing, environmental monitoring and disaster management. She earned her Ph.D. at DTU in 2024 and previously led the School of IT discipline at Murdoch University Dubai.
Focus: Computer vision, hyperspectral imaging, generative AI, deep learning and remote sensing

Assistant Professor (Grade-II), NIT Delhi
NPerseus alumnus · Image security and quantum cryptography
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.
Focus: Reversible Data Hiding in Encrypted Images, Image Security, Cryptography, Quantum Computing

Assistant Professor, School of Computer Science Engineering and Technology (SCSET), Bennett University
Assistant Professor, Bennett University · Ph.D. (CSE), Delhi Technological University · Reversible data hiding and medical-image security
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.
Focus: Reversible Data Hiding, Medical-Image Security, Image Processing, Computer Vision, Deep Learning
Research network
Meet the researchers we work with. Select a person to explore their profile and shared research.
29 of 29 contributors

Director
National Institute of Technology Delhi

Professor (ECE, CSE)
Indraprastha Institute of Information Technology Delhi (IIIT-Delhi)
Sparse recovery · Low-rank matrix completion

Assistant Professor (Grade-I)
Dr B R Ambedkar National Institute of Technology Jalandhar
Assistant Professor
Kurukshetra University
Machine learning · Image processing

Professor
Netaji Subhas University of Technology

Distinguished Professor; Director of the Computer Center
National Chin-Yi University of Technology
Information security · E-commerce

Full Professor; Director of UOC-TECH
Universitat Oberta de Catalunya (UOC)
Information and network security · Privacy

Professor (CB, CSE)
Indraprastha Institute of Information Technology Delhi (IIIT-Delhi)
Computational genomics · Machine learning

Current affiliation not confirmed
Formerly Kiel University
Generative AI · Natural language processing

Research Director, Inria Saclay
Inria Saclay — OPIS, Centre for Visual Computing
Optimization · Inverse problems

Associate Professor (Computational Biology)
Indraprastha Institute of Information Technology Delhi (IIIT-Delhi)
Functional genomics · Molecular biology

Université Gustave Eiffel — ESIEE Paris, LIGM
Optimization · Machine learning

Faculty, Computer Science and Engineering
Indian Institute of Technology (Indian School of Mines), Dhanbad
Information retrieval · Cryptology

Professor, Center for Applied Mathematics
Tianjin University
Cloud and edge computing · Internet of Things

Professor, Management Information Systems
National Chung Hsing University
Cryptography · IoT security

Assistant Professor-I, Computer Science and Engineering
Thapar Institute of Engineering and Technology
Signal processing · Machine learning

Professor of Cyber Security
Ulster University
Cyber security · Computer networks

Computer Engineering programme head
Gyeongkuk National University
Information security · Blockchain

Professor; Deputy Head of School (Research)
Monash University Malaysia
Multimedia signal processing · Multimedia security

Vice-Chancellor
Sardar Patel University, Mandi
Distributed systems · Fault tolerance
Current affiliation not confirmed
At publication: Imam Khomeini International University

Professor
Tohoku University
Neural-network watermarking · AI model ownership
Current affiliation not confirmed
At publication: Bu-Ali Sina University

Professor of Computer Science, Faculty of Science and Technology
University of the Faroe Islands

Full Professor
Università Mercatorum
Multimedia forensics · Deepfake detection

Assistant Professor, Computer Science and Engineering
Dr B R Ambedkar National Institute of Technology Jalandhar

Professor
Jawaharlal Nehru University
Image processing · Video broadcasting

Lecturer (Assistant Professor) in Cloud Computing
Queen Mary University of London
Cloud computing · Distributed systems

Head of Department, Geoinformatics and Information Security
Samara National Research University
Computer vision · Watermarking
Current affiliations Choose an institution to see its researchers and reviewed work.
Individual works may reflect an earlier affiliation.
Journal article · 2026
Co-authors: Samayveer Singh, Aruna Malik
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
Journal article · 2026
Co-authors: Samayveer Singh, Aruna Malik
Aruna Malik, Sandeep Verma, Samayveer Singh, Rajeev Kumar, Neeraj Kumar · IEEE Transactions on Network and Service Management, vol. 23, pp. 340–349
Journal article · 2026
Co-authors: Samayveer Singh, Aruna Malik
Samayveer Singh, Vikas Tyagi, Aruna Malik, Rajeev Kumar, Ankur, Neeraj Kumar · IEEE Transactions on Network and Service Management, vol. 23, pp. 1960–1969
Patent · Granted · 2026
Co-inventors: Samayveer Singh, Aruna Malik
Rajeev Kumar, Aruna Malik, Vikas Tyagi, Dr. Neeraj, Dr. Vijay, Samayveer Singh, Nikhil Gupta
Journal article · 2025
Co-authors: Samayveer Singh, Aruna Malik
Aruna Malik, Samayveer Singh, Rajeev Kumar, Arun Kumar Rai, Neeraj Kumar · IEEE Internet of Things Journal, vol. 12(24), pp. 54399–54406
Journal article · 2025
Co-authors: Aruna Malik
Rajeev Kumar, Roberto Caldelli, KokSheik Wong, Aruna Malik, Ki-Hyun Jung · Multimedia Tools and Applications, vol. 84(8), pp. 4115–4137
Journal article · 2025
Co-authors: Samayveer Singh, Aruna Malik
Aruna Malik, Vikas Tyagi, Samayveer Singh, Rajeev Kumar, Huaming Wu, Sukhpal Singh Gill · IEEE Transactions on Consumer Electronics, vol. 71(2), pp. 4534–4543
Patent · Published · 2024
Co-inventors: Samayveer Singh, Aruna Malik
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.
Patent · Published · 2024
Co-inventors: Samayveer Singh, Aruna Malik
Aruna Malik, Samayveer Singh, Mohit Kumar, Rajeev Kumar · Inventor evidence: Names as listed by linked source
Journal article · 2024
Co-authors: Samayveer Singh, Aruna Malik
Mayank Pandey, Samayveer Singh, Aruna Malik, Rajeev Kumar · Multimedia Tools and Applications, vol. 83(25), pp. 66283–66298
Patent · Published · 2024
Co-inventors: Samayveer Singh, Aruna Malik
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.
Journal article · 2022
Co-authors: Samayveer Singh, Aruna Malik
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
Journal article · 2022
Co-authors: Samayveer Singh
Aridaman Singh Nandan, Samayveer Singh, Rajeev Kumar, Neeraj Kumar · IEEE Internet of Things Journal, vol. 9(7), pp. 5027–5039
Journal article · 2021
Co-authors: Samayveer Singh
Gurjinder Kaur, Samayveer Singh, Rajneesh Rani, Rajeev Kumar · Archives of Computational Methods in Engineering, vol. 28(5), pp. 3517–3568
Journal article · 2021
Co-authors: Samayveer Singh, Aruna Malik
Aridaman Singh Nandan, Samayveer Singh, Aruna Malik, Rajeev Kumar · IEEE Sensors Journal, vol. 21(22), pp. 25912–25921
Journal article · 2020
Co-authors: Aruna Malik
Aruna Malik, Sonal Gandhi · International Journal of Information Retrieval Research, 10(4), 51–62
Journal article · 2018
Co-authors: Samayveer Singh
Rajeev Kumar, Satish Chand, Samayveer Singh · Multimedia Tools and Applications, vol. 77(11), pp. 13445–13457
Journal article · 2018
Co-authors: Samayveer Singh, Aruna Malik
Aruna Malik, Samayveer Singh, Rajeev Kumar · Multimedia Tools and Applications, vol. 77(12), pp. 15803–15827
Journal article · 2017
Co-authors: Samayveer Singh, Aruna Malik
Samayveer Singh, Aruna Malik, Rajeev Kumar · Engineering Science and Technology, an International Journal, vol. 20(1), pp. 345–353
Conference paper · 2016
Co-authors: Samayveer Singh, Aruna Malik
Rajeev Kumar, Aruna Malik, Samayveer Singh, Satish Chand · 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), pp. 53–56
Conference paper · 2016
Co-authors: Samayveer Singh, Aruna Malik
Rajeev Kumar, Aruna Malik, Samayveer Singh, Bijendra Kumar, Satish Chand · 2016 International Conference on Computing, Communication and Automation, pp. 1090–1094
Journal article · 2016
Co-authors: Samayveer Singh, Aruna Malik
Samayveer Singh, Satish Chand, Rajeev Kumar, Aruna Malik, Bijendra Kumar · IET Wireless Sensor Systems, vol. 6(5), pp. 151–157
Patent · Granted
Co-inventors: Samayveer Singh, Aruna Malik
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.
Patent · Granted
Co-inventors: Samayveer Singh
Known inventor — partial list: Samayveer Singh · Status source: Listed as Granted in the DTU faculty profile · Inventor evidence: NIT Jalandhar R&D Newsletter, December 2019, page20 row42 names Samayveer Singh. Full inventor list not yet verified. · 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.
Patent · Granted
Co-inventors: Samayveer Singh, Aruna Malik
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.
Conference paper · 2025
Co-authors: Ki-Hyun Jung
Saurabh Agarwal, Rajeev Kumar, Abha Devi, Ki-Hyun Jung · 2025 27th International Conference on Advanced Communications Technology (ICACT), pp. 83–87
Editorial · 2025
Co-authors: Ki-Hyun Jung
Rajeev Kumar, Roberto Caldelli, Wong KokSheik, Ki-Hyun Jung, David Megías · Journal of Information Security and Applications, vol. 89, article 103964
Book chapter · 2025
Co-authors: Ki-Hyun Jung
Ankur, Sonal Gandhi, Rajeev Kumar, Ki-Hyun Jung · Fortressing Pixels: Information Security for Images, Videos, Audio and Beyond, pp. 53–76
Journal article · 2025
Co-authors: Ki-Hyun Jung
Rajeev Kumar, Roberto Caldelli, KokSheik Wong, Aruna Malik, Ki-Hyun Jung · Multimedia Tools and Applications, vol. 84(8), pp. 4115–4137
Journal article · 2025
Co-authors: Ki-Hyun Jung
Ankur, Rajeev Kumar, Pallavi Ranjan, Ki-Hyun Jung · Expert Systems with Applications, vol. 267, article 126181
Journal article · 2023
Co-authors: Ki-Hyun Jung
Rajeev Kumar, Deepak Sharma, Amit Dua, Ki-Hyun Jung · Journal of Information Security and Applications, vol. 78, article 103572
Journal article · 2021
Co-authors: Ki-Hyun Jung
Arun Kumar Rai, Neeraj Kumar, Rajeev Kumar, Hari Om, Satish Chand, Ki-Hyun Jung · Symmetry, vol. 13(6), article 1072
Project · completed; completion date not stated · 2021
Researchers: Ki-Hyun Jung
TagExDF — Explained Tagging System; Ki-Hyun Jung and Rajeev Kumar listed as PI/Co-PI; NRF Korea; 55 million KRW; sanctioned November 2021; completed (status confirmed by the lab on 5 September 2026).
Journal article · 2020
Co-authors: Ki-Hyun Jung
Rajeev Kumar, Ki-Hyun Jung · Information Sciences, vol. 536, pp. 101–119
Journal article · 2020
Co-authors: Ki-Hyun Jung
Rajeev Kumar, Ki-Hyun Jung · Information Sciences, vol. 512, pp. 96–107
Journal article · 2019
Co-authors: Ki-Hyun Jung
Rajeev Kumar, Dae-Soo Kim, Ki-Hyun Jung · Journal of Information Security and Applications, vol. 47, pp. 94–103
Project · completed per DTU profile
Researchers: Ki-Hyun Jung
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
Coauthored the encrypted-image data-hiding paper using intra-block correlation and parametric binary-tree labelling with Rajeev Kumar and four other authors.
Journal article · 2021
Co-authors: Hari Om
Arun Kumar Rai, Neeraj Kumar, Rajeev Kumar, Hari Om, Satish Chand, Ki-Hyun Jung · Symmetry, vol. 13(6), article 1072
Coauthored work with Anurag Goel on deep transform and dictionary learning, clustering and hyperspectral imaging, alongside a circulating-tumour-cell transcriptomics study.
Coauthored the circulating-tumour-cell transcriptomics study with Anurag Goel and the wider team.
Coauthored the circulating-tumour-cell transcriptomics study with Anurag Goel and colleagues.
Journal article · 2024
Co-authors: Angshul Majumdar
Anurag Goel & Angshul Majumdar · Information Sciences, vol. 661, article 120191
Journal article · 2024
Co-authors: Angshul Majumdar
Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia · Signal Processing, vol. 224, article 109597
Conference paper · 2024
Co-authors: Angshul Majumdar
Anurag Goel & Angshul Majumdar · 2024 IEEE International Conference on Image Processing (ICIP), pp. 2108–2114
Journal article · 2024
Co-authors: Angshul Majumdar
Anurag Goel & Angshul Majumdar · Earth Science Informatics, vol. 17(3), pp. 2727–2735
Journal article · 2023
Co-authors: Angshul Majumdar, Debarka Sengupta, Gaurav Ahuja
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
Conference paper · 2022
Co-authors: Angshul Majumdar
Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia · 2022 IEEE International Conference on Image Processing (ICIP), pp. 211–215
Journal article · 2022
Co-authors: Angshul Majumdar
Anurag Goel & Angshul Majumdar · IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5
Journal article · 2022
Co-authors: Angshul Majumdar
Anurag Goel & Angshul Majumdar · IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5
Book chapter · 2021
Co-authors: Angshul Majumdar
Anurag Goel, Angshul Majumdar · Lecture Notes in Computer Science, pp. 549–557
Conference paper · 2021
Co-authors: Angshul Majumdar
Anurag Goel & Angshul Majumdar · 2021 29th European Signal Processing Conference (EUSIPCO), pp. 1526–1530
Coauthored DeConFCluster and Deep Convolutional K-Means Clustering with Anurag Goel and colleagues.
Inria is a research institute. OPIS is a joint team with CentraleSupélec and Université Paris-Saclay.
Journal article · 2024
Co-authors: Émilie Chouzenoux
Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia · Signal Processing, vol. 224, article 109597
Conference paper · 2022
Co-authors: Émilie Chouzenoux
Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia · 2022 IEEE International Conference on Image Processing (ICIP), pp. 211–215
Journal article · 2021
Co-authors: Satish Chand
Arun Kumar Rai, Neeraj Kumar, Rajeev Kumar, Hari Om, Satish Chand, Ki-Hyun Jung · Symmetry, vol. 13(6), article 1072
Journal article · 2018
Co-authors: Satish Chand
Rajeev Kumar, Satish Chand, Samayveer Singh · Multimedia Tools and Applications, vol. 77(11), pp. 13445–13457
Conference paper · 2016
Co-authors: Satish Chand
Rajeev Kumar, Aruna Malik, Samayveer Singh, Satish Chand · 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), pp. 53–56
Journal article · 2016
Co-authors: Satish Chand
Rajeev Kumar, Satish Chand · Multimedia Tools and Applications, vol. 75(1), pp. 241–259
Conference paper · 2016
Co-authors: Satish Chand
Rajeev Kumar, Aruna Malik, Samayveer Singh, Bijendra Kumar, Satish Chand · 2016 International Conference on Computing, Communication and Automation, pp. 1090–1094
Journal article · 2016
Co-authors: Satish Chand
Samayveer Singh, Satish Chand, Rajeev Kumar, Aruna Malik, Bijendra Kumar · IET Wireless Sensor Systems, vol. 6(5), pp. 151–157
Journal article · 2025
Co-authors: Ashish Girdhar
Pallavi Ranjan, Anukriti Kaushal, Ashish Girdhar, Rajeev Kumar · Earth Science Informatics, vol. 18(2), article 216
Journal article · 2024
Co-authors: Ashish Girdhar
Pallavi Ranjan, Rajeev Kumar, Ashish Girdhar · Neural Computing and Applications, vol. 36(15), pp. 8335–8354
Journal article · 2024
Co-authors: Ashish Girdhar
Pallavi Ranjan, Ashish Girdhar, Ankur, Rajeev Kumar · Earth Science Informatics, vol. 17(6), pp. 5251–5271
Journal article · 2025
Co-authors: KokSheik Wong
Rajeev Kumar, Roberto Caldelli, KokSheik Wong, Aruna Malik, Ki-Hyun Jung · Multimedia Tools and Applications, vol. 84(8), pp. 4115–4137
Journal article · 2025
Co-authors: Chia-Chen Lin
Chia-Chen Lin, En-Ting Chu, Iuon-Chang Lin, Rajeev Kumar · IEEE Access
Journal article · 2024
Co-authors: Chia-Chen Lin
Anukriti Kaushal, Chia-Chen Lin, Rishabh Chauhan, Rajeev Kumar · Applied Sciences, vol. 14(23), article 11462
Journal article · 2024
Co-authors: Chia-Chen Lin
Nancy Girdhar, Deepak Sharma, Rajeev Kumar, Monalisa Sahu, Chia-Chen Lin · SLAS Technology, vol. 29(3), article 100136
Coauthored HEP-DHMI with Chia-Chen Lin, En-Ting Chu and Rajeev Kumar, studying data hiding in AMBTC-compressed medical images.
Journal article · 2025
Co-authors: Iuon-Chang Lin
Chia-Chen Lin, En-Ting Chu, Iuon-Chang Lin, Rajeev Kumar · IEEE Access
Coauthored five reviewed papers with Ankur and Rajeev Kumar on reversible data hiding in encrypted images; one also includes Pallavi Ranjan.
NPerseus alumni
Journal article · 2025
Co-authors: Ajay K. Sharma
Ankur, Rajeev Kumar, Ajay K. Sharma, Pallavi Ranjan · Signal, Image and Video Processing, vol. 19(5), article 365
Journal article · 2025
Co-authors: Ajay K. Sharma
Ankur, Rajeev Kumar, Ajay K. Sharma · Journal of Information Security and Applications, vol. 90, article 104005
Journal article · 2024
Co-authors: Ajay K. Sharma
Ankur, Rajeev Kumar, Ajay K. Sharma · IEEE Transactions on Multimedia, vol. 26, pp. 4722–4735
Journal article · 2024
Co-authors: Ajay K. Sharma
Ankur, Rajeev Kumar, Ajay K. Sharma · Signal, Image and Video Processing, vol. 18(8–9), pp. 5841–5856
Journal article · 2023
Co-authors: Ajay K. Sharma
Ankur, Rajeev Kumar, Ajay K. Sharma · Computers and Electrical Engineering, vol. 112, article 109017
Conference paper · 2016
Co-authors: Bijendra Kumar
Rajeev Kumar, Aruna Malik, Samayveer Singh, Bijendra Kumar, Satish Chand · 2016 International Conference on Computing, Communication and Automation, pp. 1090–1094
Journal article · 2016
Co-authors: Bijendra Kumar
Samayveer Singh, Satish Chand, Rajeev Kumar, Aruna Malik, Bijendra Kumar · IET Wireless Sensor Systems, vol. 6(5), pp. 151–157
Coauthored the IoMT communication paper combining optimized clustering with blockchain alongside Rajeev Kumar and collaborators at NIT Jalandhar and Tianjin University.
Journal article · 2025
Co-authors: Sukhpal Singh Gill
Aruna Malik, Vikas Tyagi, Samayveer Singh, Rajeev Kumar, Huaming Wu, Sukhpal Singh Gill · IEEE Transactions on Consumer Electronics, vol. 71(2), pp. 4534–4543
Conference paper · 2026
Co-authors: Victor Fedoseev
Mahaveer Prasad, Ajit Kumar Yadav, Rajeev Kumar, Victor Fedoseev · 2026 14th International Symposium on Digital Forensics and Security (ISDFS), pp. 1–6
Coauthored the genetic-algorithm-based green communication paper for healthcare sensor networks with Rajeev Kumar, Samayveer Singh, Aruna Malik, Aridaman Singh Nandan and Neeraj Kumar.
Journal article · 2022
Co-authors: Lalit Kumar Awasthi
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
Joint work with Anurag Goel and Rajeev Kumar spans hyperspectral classification and cross-modal retrieval; further papers with Anurag address subspace clustering and underwater image enhancement.
Journal article · 2026
Co-authors: Jyoti Maggu
Jyoti Maggu, Anurag Goel & Rajeev Kumar · Earth Science Informatics, vol. 19(1), article 10
Conference paper · 2025
Co-authors: Jyoti Maggu
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
Journal article · 2025
Co-authors: Jyoti Maggu
Jyoti Maggu, Anurag Goel, Rajeev Kumar · Knowledge and Information Systems, vol. 67(8), pp. 6937–6967
Journal article · 2024
Co-authors: Jyoti Maggu
Jyoti Maggu & Anurag Goel · Pattern Analysis and Applications, vol. 27(4), article 119
Coauthored the blockchain-assisted IoMT communication study with Rajeev Kumar, Aruna Malik, Samayveer Singh, Vikas Tyagi and Sukhpal Singh Gill.
Journal article · 2025
Co-authors: Huaming Wu
Aruna Malik, Vikas Tyagi, Samayveer Singh, Rajeev Kumar, Huaming Wu, Sukhpal Singh Gill · IEEE Transactions on Consumer Electronics, vol. 71(2), pp. 4534–4543
Conference paper · 2025
Co-authors: Minoru Kuribayashi
Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar, Minoru Kuribayashi · 2025 Second International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT), pp. 196–201
No shared work is listed in the current catalogue.
Editorial · 2025
Co-authors: Roberto Caldelli
Rajeev Kumar, Roberto Caldelli, Wong KokSheik, Ki-Hyun Jung, David Megías · Journal of Information Security and Applications, vol. 89, article 103964
Journal article · 2025
Co-authors: Roberto Caldelli
Rajeev Kumar, Roberto Caldelli, KokSheik Wong, Aruna Malik, Ki-Hyun Jung · Multimedia Tools and Applications, vol. 84(8), pp. 4115–4137
Journal article · 2021
Co-authors: Roberto Caldelli
Neeraj Kumar, Rajeev Kumar, Roberto Caldelli · IEEE Signal Processing Letters, Vol. 28, pp. 1335–1339
Editorial · 2025
Co-authors: David Megías
Rajeev Kumar, Roberto Caldelli, Wong KokSheik, Ki-Hyun Jung, David Megías · Journal of Information Security and Applications, vol. 89, article 103964
Coauthored DeConFCluster and Deep Convolutional K-Means Clustering with Anurag Goel and colleagues.
Journal article · 2024
Co-authors: Giovanni Chierchia
Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia · Signal Processing, vol. 224, article 109597
Conference paper · 2022
Co-authors: Giovanni Chierchia
Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia · 2022 IEEE International Conference on Image Processing (ICIP), pp. 211–215
Coauthored an Ethereum smart-contract security study with Rajeev Kumar, Mohammad Pishdar and Mahdi Bahaghighat, covering vulnerability analysis and mitigation.
Journal article · 2024
Co-authors: Qin Xin
Mohammad Pishdar, Mahdi Bahaghighat, Rajeev Kumar, Qin Xin · EAI Endorsed Transactions on Internet of Things, vol. 11
NPerseus alumni
Current affiliation not confirmed
Former academic staff, Kiel University
Coauthored the Ethereum smart-contract vulnerability analysis paper with Rajeev Kumar and Qin Xin.
Current affiliation not confirmed
Affiliation listed in the paper: Bu-Ali Sina University (Iran).
Coauthored the Ethereum smart-contract vulnerability analysis paper with Rajeev Kumar and Qin Xin.
Current affiliation not confirmed
Affiliation listed in the paper: Imam Khomeini International University (Iran).
Journal article · 2024
Co-authors: Deepak Sharma
Nancy Girdhar, Deepak Sharma, Rajeev Kumar, Monalisa Sahu, Chia-Chen Lin · SLAS Technology, vol. 29(3), article 100136
Journal article · 2024
Co-authors: Mohammad Pishdar, Mahdi Bahaghighat
Mohammad Pishdar, Mahdi Bahaghighat, Rajeev Kumar, Qin Xin · EAI Endorsed Transactions on Internet of Things, vol. 11
Journal article · 2023
Co-authors: Deepak Sharma
Rajeev Kumar, Deepak Sharma, Amit Dua, Ki-Hyun Jung · Journal of Information Security and Applications, vol. 78, article 103572
Follow shared publications, patents and projects across the team and external contributors. Each connection leads to the work behind it.