Overview

Personal Profile

Shuva Paul is a power systems cybersecurity researcher in NREL’s Energy Security and Resilience Center. Paul’s current research interests include collaborative autonomy, computational intelligence, reinforcement learning, game theory, and smart grid security for power transmission and distribution systems. He performs event and anomaly detection, vulnerability and resilience assessments, and big data analytics.

He has contributed to many research conferences, including serving as the session chair of the 2013 IEEE EnergyTech and the 2019 IEEE Electro Information Technology conference, and as a reviewer for the IEEE PES General Meeting, IEEE Symposium Series on Computational Intelligence, International Joint Conference on Neural Networks, and others. Paul served as a guest editor for the Journal of Sensor and Actuator Networks, and has reviewed for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Smart Grid, Neurocomputing, IEEE Access, IET The Journal of Engineering, and other journals.

Research Interests

Machine learning, deep learning, and game theory applications in critical infrastructure systems

Events and anomalies detection in critical infrastructure systems

Supply chain cybersecurity for the electric power grid

Cyber-physical energy systems security and resilience

Professional Experience

Postdoctoral Fellow, Georgia Institute of Technology (February 2021 – May 2022)

Postdoctoral Research Associate, Washington State University (June 2020 – January 2021)

Graduate Intern, NREL (May 2019 – May 2020)

Graduate Research Assistant, South Dakota State University (2016 – 2019)

Education/Academic Qualification

Master, Electrical and Electronics Engineering, American International University - Bangladesh

Bachelor, Electrical and Electronics Engineering, American International University - Bangladesh

PhD, Electrical Engineering, South Dakota State University

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Collaborations and Top Research Areas From the Past 5 Years

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