معرفی
Jitendra Tugnait is the James B. Davis Professor in the Department of Electrical and Computer Engineering at Auburn University. His research focuses on statistical signal processing and machine learning applications, particularly in high-dimensional graphical models, time series analysis, and non-convex optimization. He holds a Ph.D. in Electrical Engineering from the University of Illinois Urbana-Champaign, an M.S. from Syracuse University, and a B.S. from Punjab Engineering College.
His work emphasizes developing robust methods for graphical model selection from dependent and multi-attribute data. Recent studies include conditional independence graph learning, sparse-group penalized estimation, and mitigation of pilot spoofing attacks in wireless systems. He has led projects funded by NSF and authored over 150 peer-reviewed articles since 2012.
Key research themes include high-dimensional data analysis, differential graph estimation, and applications in wireless communication security. His contributions span theoretical advancements and practical implementations, such as improving spectrum sensing and combating signal spoofing in multi-antenna systems.
