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Sumit Kumar

Assistant Professor · National Institute of Technology Jalandhar

https://researchid.co/kumars999
@nitj.ac.in
16Scopus Publications
223Google Scholar Citations
8Google Scholar h-index
7Google Scholar i10-index

Research Interests

Edge and Cloud Computing, Algorithmic Game Theory, Deep Learning, Reinforcement Learning, WSN

Biography

Sumit Kumar (Member, IEEE) received a PhD degree in the area of edge computing enabled Internet of Things from the Indian Institute of Technology (BHU) Varanasi, India, in 2022. He is currently working as an assistant professor with the Department of Computer Science and Engineering, Dr. B. R. Ambedkar National Institute of Technology (NIT), Jalandhar, India. Before joining NIT Jalandhar, he worked as an assistant professor (2016–2017) with GLA Mathura, India, and as an assistant professor (2023–2024) with Galgotias University, Greater Noida, India. His research areas include cloud computing, edge computing, IoT, wireless sensor networks, game theory, and reinforcement learning.

Education

PhDEdge Computing Enabled IoTs(Indian Institute of Technology (IIT) Varanasi ) M.TechComputer Science and Engineering(National Institute of Technology (NIT) Hamirpur ) B.TechComputer Science and Engineering(Uttar Pradesh Technical University)

Recent Scopus Publications

  1. Graph Coarsening using Game Theoretic Approach
    Transactions on Machine Learning Research, 2026
  2. Energy consumption minimisation at edge node using approach in predicting sensor parameters in WSNs
    Scientific Reports, 2025
  3. Resource Optimization in Edge Networks with Game Theory Model
    Proceedings of 2025 International Conference on Signal Processing Computation Electronics Power and Telecommunication Iconscept 2025, 2025
  4. A Game-Theoretic Approach for Users of Edge Computing: QoS-Aware and Cost-Efficient
    Proceedings of 2025 International Conference on Signal Processing Computation Electronics Power and Telecommunication Iconscept 2025, 2025
  5. A Distributed Load Balancing Technique for Multitenant Edge Servers With Bottleneck Resources
    IEEE Transactions on Reliability, 2024

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