Rajasekhar Anguluri

Rajasekhar Anguluri is an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). His research focuses on estimation, identification, and control in large-scale systems, particularly in energy systems and cyber-physical networks. He holds a Ph.D. and M.S. from the University of California, Riverside (2019), and a B.Tech. from National Institute of Technology, Warangal, India (2013).

Research interests include sparse state estimation, structured system identification, statistical inference in engineering systems, and security of networked cyber-physical systems. He has contributed to applications in power systems, including parameter estimation in low-inertia grids and topology learning in distribution networks. His work also addresses cyber-attack detection and mitigation in bulk power systems.

Anguluri has received the Mistletoe Research Fellowship (2022-2023) from the Momental Foundation. His academic background includes a postdoctoral position at Arizona State University's School of Electrical, Computer, and Energy Engineering, where he collaborated with experts in control theory and machine learning.

Publications highlight advancements in network analysis, such as grid topology identification with hidden nodes and structure learning in conservation networks. His interdisciplinary approach integrates systems theory, statistics, and data science to solve real-world engineering challenges.