Google Scholar
Education
Ph.D., Electrical Engineering, Vanderbilt University
M.S., Electrical Engineering, Vanderbilt University
B.Tech., Electrical Engineering, Indian Institute of Technology, Banaras Hindu University
About
Dr. Abhishek Dubey is an Associate Professor of Computer Engineering, Electrical Engineering, and Computer Science, as well as a Chancellor Faculty Fellow at Vanderbilt University. He directs the SCOPE Lab at the Institute for Software-Integrated Systems and serves as a Senior Research Scientist within the institute. Dr. Dubey recently completed his IPA assignment as a Program Director at the National Science Foundation, where he oversaw the Cyber-Physical Systems (CPS), Smart and Connected Communities (SCC), and Civic Innovation Challenge (CIVIC) programs.
His broad research interest is in the decision-making under uncertainty for societal-scale Cyber-Physical Systems (CPS) with a focus on transportation and mobility, emergency response, and electric infrastructure. His current work explores non-stationarity and long-term impact, investigating principled, non-myopic optimization methods that enhance resilience, performance, and assurance of cyber-physical systems. He currently leads Smart and Connected Community research efforts focusing on design and optimization of public transit systems in Chattanooga, TN, and Nashville, TN, through his group smarttransit.ai, as well as emergency response system optimization through statresp.ai. Dr. Dubey’s work has been supported by organizations such as NSF, NASA, DOE, ARPA-E, AFRL, DARPA, Nissan, Siemens, Cisco, and IBM.
In addition to his academic research, Dr. Dubey has co-founded Mobius AI, a company focused on bringing cutting-edge technology in logistics and fleet management to the market, bridging the gap between research and practical applications.
A recipient of the NSF CAREER Award (2022), Dr. Dubey has published over 200 articles. He previously served as the Director of Graduate Studies for Vanderbilt’s Electrical Engineering and Computer Science Department. He holds a Ph.D. and M.S. in Electrical Engineering from Vanderbilt University and a B.S. in Electrical Engineering from the Indian Institute of Technology (Banaras Hindu University).
Research Focus
AI and Decision Making
Dynamic Optimization and Planning in Societal-Scale Mega Systems
Publication Highlights
-
Paper: B. Luo, A. Pettet, A. Laszka, A. Dubey, and A. Mukhopadhyay, Scalable Decision-Making In Stochastic Environments Through Learned Temporal Abstraction, in Proceedings of the 13th International Conference on Learning Representations, Singapore, 2025. https://scopelab.ai/files/keplinger2025nsgym.pdf
-
Paper: J. P. Talusan, C. Han, D. Rogers, A. Mukhopadhyay, A. Laszka, D. Freudberg, and A. Dubey, An End-to-End Solution for Public Transit Stationing and Dispatch Problem, ACM Trans. Cyber-Phys. Syst., July 2025. https://scopelab.ai/files/talusanTCPS2025.pdf
-
Paper: J. Buckelew, J. P. Talusan, V. Sivaramakrishnan, A. Mukhopadhyay, A. Srivastava, and A. Dubey, WENFlow: Scalable Attention for Unsupervised Spatiotemporal Anomaly Detection in High-Dimensional Cyber-Physical Systems, in Proceedings of the HSCC/ICCPS 2026: 29th ACM International Conference on Hybrid Systems: Computation and Control and 17th ACM/IEEE International Conference on Cyber-Physical Systems, 2026. https://scopelab.ai/files/iccps2026_wenflow.pdf