Gyanendra Kumar
Manipal University Jaipur, Galgotias University, Raj Kumar Goel Institute of Technology and Management
About
Dr GYANENDRA KUMAR received his B.Tech. Degree in Computer Engineering and Information Technology from Uttar Pradesh Technical University, Lucknow in 2004, M.Tech. Degree in Information Technology from J.C. Bose University of Science and Technology, YMCA, Faridabad, Haryana, in 2011, and PhD degree in Computer Engineering from the J.C. Bose University of Science and Technology, YMCA, Faridabad, Haryana, in 2023. He works with Manipal University Jaipur, Jaipur, Rajasthan, as an Associate Professor. His academic experience is about 20 years as a faculty member in different engineering colleges and Universities. He has published many research papers in various reputed journals and conferences. He has also worked as a reviewer for IEEE, Elsevier, Springer, MDPI, Tech Science Press, etc. He has served as an invited speaker, Session Chair, and track chair at different international conferences. He is a professional member of IEEE and ACM. His research interests include Internet of Things, Network Communications, Quantum Communications, Artificial Intelligence & Machine Learning, Cybersecurity & Privacy, Edge Intelligence, and 6G Networks.
Employment
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Manipal University Jaipur Associate Professor2023 - Present
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Galgotias University Assistant Professor2021 - 2023
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Raj Kumar Goel Institute of Technology and Management Assistant Professor2011 - 2021
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (78)
- A Privacy-Preserving Neuromorphic Framework for Countering AI-Enabled Side-Channel Attacks in Consumer Edge Devices Save
- A Lightweight Framework With Pruning and Knowledge Distillation for Ship Detection in SAR Images Save
- UAV-based object detection model for smart surveillance using deep neural network Save
- Trust-Aware Intrusion Detection Framework for AI-Augmented Vehicular Digital Twin Save
- Spatial Reasoning and Risk Assessment for Autonomous Vehicles on Consumer Electronics Platforms Using a Customized Vision-Language Model With Data Augmentation Save
- Quantum-Resilient Federated Learning for Real-Time Digital Twin Synchronization in Smart City 6G Networks Save
- QoE-Driven Multimodal Multi-Agent NDN-Enabled Blockchain Framework for Adaptive 6G Communication Networks Save
- PPWCS: A Strategy for Enhancing Caching Performance in Content-Centric Networking Enabled Consumer IoT Systems Save
- Next-Gen Networks for the Internet of Consumer Electronics: A Survey Save
- NeuroEvolve: A brain-inspired mutation optimization algorithm for enhancing intelligence in medical data analysis Save