- Funded by the National Science Foundation, MIT Lincoln Labs, Office of Naval Research, US Army Research, Department of Energy, IBM Research, and Cisco Systems
- Published multiple papers, such as 'On the Utility of Existing Fine-Tuned Models on Data-Scarce Domains' (2025), 'Efficient and Lightweight Model-Predictive IoT Energy Management' (2025), 'Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning' (2024), etc.
Research Experience
- With the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI) since Fall 2002
- Held visiting research positions at Bell Laboratories, NJ, and IBM TJ Watson Research Center, NY
- Main research areas include scheduling, access control, and pricing in wireless networks; traffic flow optimization and pricing for the Internet; energy management for renewable-powered sensor networks; pricing and load management in energy flow networks; communication protocol design, implementation, and evaluation
Education
- Ph.D. in Electrical and Computer Engineering, University of Maryland, College Park, 2002
- M.S. in Electrical Engineering, University of Maryland, College Park, 1999
- B.Tech. in Electrical Engineering, Indian Institute of Technology, Kanpur, India, 1997
Background
Research Interests: Control and optimization of networked systems, with a focus on data communication networks and energy flow networks. Specialization: Electrical, Computer, and Systems Engineering.