Information theory faculty

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.

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.

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.

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

Zhang’s research expertise spans deep learning, computer architecture, embedded systems and VLSI design automation.

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.