Signal processing faculty

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

I have a joint appointment in engineering and health. My work develops AI tools to track neurological conditions via speech, leading to FDA-registered tools used globally in healthcare.

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.

Jayasuriya’s research focuses on designing new types of computational cameras, systems, and visual computing algorithms. Our lab website can be found here: https://sites.google.com/asu.edu/imaging-lyceum

Karam’s research interests include image/video processing, compression and transmission, computer vision, machine learning, visual quality assessment and perception, multidimensional signal processing, digital filtering and biomedical imaging.

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 and machine learning. Current H-index is 90.

Michelusi’s expertise is in resource allocation and optimization of wireless communications systems.

Duong Nguyen is an Assistant Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University. He received his doctorate in electrical and computer engineering from the University of British Columbia in 2020, under the supervision of Professor Vijay Bhargava. His research lies at the intersection of operations research, artificial intelligence, economics, and engineering, with a focus on developing new mathematical models and techniques for decision-making and economic analysis of large-scale networked systems such as cloud/edge computing, smart grids, and crowdsourcing. His goals are (1) to design optimal operation and planning algorithms for complex systems under uncertainty,…

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

Reisslein received a doctorate in systems engineering from the University of Pennsylvania in 1998.

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.

Shandhi is an assistant professor with a joint appointment in the School of Electrical, Computer, and Energy Engineering and Biodesign Institute Center for Bioelectronics and Biosensors at ASU.

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

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.

Tsiropoulou works on game theory and reinforcement learning for decision making in complex systems, with emphasis on network modeling and optimization, resource management, network economics, and Internet of Things.

Pavan Turaga is the Founding Director of The GAME School at ASU (2025), overseeing a transdisciplinary group of faculty and degree programs, spanning gaming, esports, interactive, immersive and AI-enabled media.

Networked system security and privacy, AI and machine learning, wireless networking, and mobile computing.

Zou’s research focuses on fundamental algorithms and theory of machine learning and statistical signal with applications to connected and autonomous systems, health science and power systems.