Signal processing faculty

Alkhateeb’s research interests are in the broad areas of wireless communications, communication theory, signal processing, machine learning, and applied math.

Berisha’s research seeks to develop and apply new machine learning and statistical signal processing tools to better understand and model signal perception.

Bliss’ research interests include Information theory, estimation theory, and signal processing with applications to wireless communications, remote sensing, and anticipatory physiology and medicine.

Chakrabarti’s areas of expertise include low power embedded system design, reliable memory design, VLSI architectures for signal processing and communications, and algorithm-architecture codesign.

Dasarathy’s research interests span topics in machine learning, statistics, signal processing and networked systems, and information theory.

Oliver Kosut is an associate professor in ECEE. His research focuses on information theory, particularly with applications to security, privacy, and machine learning, and smart grid cyber-security.

Lai has been recognized with awards such as White House PECASE, APS fellowship and Pentagon Vannevar Bush Fellowship. He has been publishing in complex dynamical systems, classical and quantum.

Research interests: Statistical and time-varying signal processing, adaptive waveform design, Bayesian nonparametric learning, radar, wireless communications, structural health monitoring, biomedical signal processing

Dr. Lalitha Sankar is a Professor in the School of ECEE. Her research interests are at the intersection of information and data sciences with focus on fairness, privacy, and robustness.

Andreas Spanias (IEEE Fellow) is Professor in ECEE and Director of the SenSIP Center (NSF I/UCRC). Research areas include signal & speech processing, sensors & machine learning, Quantum AI and Engineering Education.

Tepedelenlioglu’s areas of expertise include wireless communications statistical signal processing estimation and equalization.

Tsakalis’ research interests include control systems, adaptive control, process control and control of semiconductor manufacturing processes, and application of feedback control in epilepsy.

Their research in machine learning has resulted in new algorithms for geometrical analysis of feature-spaces which leads to increased robustness in several end-applications.