Signal processing faculty

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

Prof. Daniel W. Bliss (bliss.asu.edu) is Director of WISCA Center (wisca.asu.edu), IEEE Fellow, and recipient of the IEEE Warren D. White Award. Ph.D. and M.S. in Physics, UCSD (1997 and 1995); B.S. in EE, ASU (1989).

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.

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...

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.

Nicolò Michelusi is an Associate Professor at Arizona State University. His research focuses on AI-native wireless networks, distributed intelligence, information theory, machine learning, and 6G systems.

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

Research interests: Statistical and time-varying signal processing, waveform agile sensing, Bayesian non-parametric learning, radar tracking, integrated sensing and communications

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

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.

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

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.

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.

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