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Shamik Sengupta

School Head, School of Computer Science, Electrical and Biomedical Engineering, Computer Science and Engineering

Open to new collaborations

Research interests

Dr. Shamik Sengupta is a Professor in the Department of Computer Science and Engineering and Executive Director of the Cybersecurity Center at University of Nevada, Reno. His research interests include cognitive radio and DSA networks, game theory, cybersecurity, network economics and self-configuring wireless mesh networks. He has authored over 100 international conferences and journal publications. He is the recipient of an IEEE GLOBECOM 2008 best paper award, and an International Symposium on Performance Evaluation of Computer and Telecommunication Systems 2017 best paper award. He is the recipient of NSF CAREER award in 2012 and the University's CSE Best Researcher award in 2015-2016 and 2017-2018. Shamik serves on the organizing and technical program committee of several IEEE conferences. He is serving in the Editorial Boards of several journals. For more information, please visit Dr. Sengupta's website .

Recent publications

The ten most recent from their Google Scholar profile, newest first.

  1. Benchmarking machine learning models for IoT malware detection under data scarcity and drift

    J Lyon, E Saeedizade, S Sengupta. 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1-6 , 2026. 2026

    2 citations

  2. Lightweight IoT Device Fingerprinting Approach using Locality-Sensitive Hashing

    R Taheri, E Saeedizade, S Sengupta. 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1-2 , 2026. 2026

  3. Unveiling bb84 vulnerabilities: A quantum key distribution simulation library

    I Astaburuaga, S Rath, S Sengupta. 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), 1-8 , 2025. 2025

    6 citations

  4. Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber‐Physical Power Systems

    T Das, R Mani Shukla, M Ben‐Idris, S Sengupta. Smart Cyber‐Physical Power Systems: Fundamental Concepts, Challenges, and … , 2025. 2025

    3 citations

  5. Identifying Homogeneous IoT Devices with Hybrid Locality Sensitive Hashing

    R Taheri, J Thom, N Thom, B Charyyev, E Hand, S Sengupta. IEEE Internet of Things Journal , 2025. 2025

    2 citations

  6. Federated Learning-Based Anomaly Detection Approach for High-Performance Research Networks

    E Saeedizade, S Sengupta, J Thom. MILCOM 2025-2025 IEEE Military Communications Conference (MILCOM), 820-825 , 2025. 2025

    1 citation

  7. Improvise, adapt, overcome: Dynamic resiliency against unknown attack vectors in microgrid cybersecurity games

    S Rath, T Das, S Sengupta. IEEE Transactions on Smart Grid 15 (4), 4245-4258 , 2024. 2024

    33 citations

  8. Poisoning the well: Adversarial poisoning on ML-based software-defined network intrusion detection systems

    T Das, RM Shukla, S Sengupta. IEEE Transactions on Network Science and Engineering 12 (1), 252-262 , 2024. 2024

    17 citations

  9. Image forgery detection using convolutional neural networks

    A Meepaganithage, S Rath, M Nicolescu, M Nicolescu, S Sengupta. 2024 12th International Symposium on Digital Forensics and Security (ISDFS), 1-6 , 2024. 2024

    16 citations

  10. Feature selection using the advanced Shapley value

    A Meepaganithage, S Rath, M Nicolescu, M Nicolescu, S Sengupta. 2024 IEEE 14th Annual Computing and Communication Workshop and Conference … , 2024. 2024

    9 citations

All publications on Google Scholar