AI and machine learning 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.

Krishnendu Chakrabarty is the Fulton Professor of Microelectronics in the School of Electrical, Computer and Energy Engineering at Arizona State University.

Vidya A. Chhabria is an assistant professor in ECEE at Arizona State University. Her research interests lie in CAD for VLSI systems around physical design, optimization, and analysis algorithms.

Fan's research interests include efficient AI hardware and algorithm, AI chip design, in-memory computing circuits and architecture, adversarial and trustworthy AI system.

Fan's current research is in the areas of semiconductors and phase-change materials for electronics and photonics such as neuromorphic devices and tunable photonic devices; nanomaterials for electrochemical energy storages.

Hedman is a professor in the School of ECEE and is the director of PSERC. In 2017, Hedman received the Presidential Early Career Award for Scientists and Engineers (PECASE), awarded by President Barack H. Obama.

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

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.

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...

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.

Ramapuram Matavalam's research addresses the challenges in achieving a 100% green power grid by leveraging machine learning and dynamical system theory.

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.

Nedich's research interests include large-scale distributed systems, sensor networks and network science, data analytics, decision and control systems and operations research.

Anamitra Pal leads the Phasor Assisted Learning (PAL) Lab at ASU and does research in the areas of power systems data analytics, renewable integration, and critical infrastructure resilience.

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

Nick's research group focuses on developing next-generation renewable energy devices—with a focus on printable thin-film photovoltaics and batteries—using high-throughput processing and reliability-based characterization.

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

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

Si's expertise includes approximate dynamic programming/reinforcement learning, data-driven real-time control of nonlinear dynamic systems, control of robotic prosthesis.

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 in ASU’s School of Electrical, Computer and Energy Engineering and Biodesign Institute, and affiliate faculty in the John Shufeldt School of Medicine and Medical Engineering.

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

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.

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.

Vittal is a Regents Professor and an ASU Foundation Professor in Electric Power Systems. His areas of expertise include electric power, power system dynamics and controls, and nonlinear systems.

Weng's research interests include power systems, machine learning, demand response, data analytics, cyber-physical systems and convex optimization.

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.

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