Dr Sunil Kumar
Manipal University Jaipur
Research areas: Computer Science · Computer Vision and Pattern Recognition · Video Coding and Compression Technologies · Advanced Data Compression Techniques · Advanced Neural Network Applications
0000-0002-1953-6273
About
Dr Sunil Kumar (Member, IEEE), Received the B.Tech. degree in Computer Science and Engineering from RGPV University in 2009, the M.Tech. degree in Computer Science and Engineering from RGPV University in 2012, and the Ph.D. degree from the Department of Computer Science and Engineering, National Institute of Technology Jamshedpur. His research interests include lightweight cryptography, cloud-IoT security, machine learning, and social network analysis. He has an extensive academic portfolio, including seven SCI-indexed papers, four SCOPUS-indexed papers, ten international conference papers, two book chapters, and seven patents. He actively contributes to the research community as a reviewer for prestigious journals such as Cluster Computing, The Journal of Supercomputing, Scientific Reports, Wireless Personal Communications, Journal of Testing and Evaluation, Discover Artificial Intelligence, IEEE Access, and National Academy Science Letters. He has reviewed more than 100 research papers.
Employment
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Manipal University Jaipur Assistant Professor (Senior Scale)2022 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (72)
- 2P-BEnc: A two-phase information retrieval and ranking system based on the BERT encoder Save
- A Coherent Solution of Dataset Crisis Using GAN Based Transfer Learning Approach for Leaf Image Classification and Disease Prediction Save
- A Hybrid Ensemble Learning Approach for Robust Tumor Detection and Classification Save
- A consent-based medical data sharing and edge offloading scheme based on blockchain and deep reinforcement learning Save
- A secure and lightweight cryptographic-machine learning framework for IoT-based cyber defense in resource-constrained environments Save
- Advancing Connectivity: A Comprehensive Review of Mobile Networks from 1G to 6G Save
- Artificial Intelligence and Robotics in Mental Health Care Save
- Binary classification of lung cancer using vision transformer models on CT images Save
- Composable security of a hybrid BB84–E91 protocol: toward synchronization-resilient quantum key distribution Save
- From Prompts to Programs: A RAG-Based Framework for Code Synthesis Save
- IOT in Underwater Exploration: Enabling Smart Oceanographic Devices Save
- Joint optimization of resource utilization and makespan in cloud computing using genetic algorithm Save
- Privacy- preserving network slice classification in 6G using federated CNN-BiLSTM Save
- Security Vulnerabilities in AI Assistants and Their Implications for IoT-Based Environmental Systems Save
- Transformer-based deep learning models for lung cancer detection and classification: a comprehensive review Save
- Optimizing IoT Intrusion Detection: A Comparative Study of Ensemble-Based Models and Deep Learning Techniques Save
- Enhancing Network Slicing Efficiency in 6G Networks With a Hybrid Deep Learning Approach Leveraging Crisscross Harris Hawks Optimization Save
- A comprehensive review on the hybrid BB84 E91 QKD protocol for enhanced security efficiency and practical hardware implementation in quantum cryptography Save
- A fair and interpretable deep learning approach for healthcare access prediction in underserved communities Save
- A hybrid deep learning framework to generate language for image captioning Save