Electronic design automation faculty

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, digital chip design, in-memory computing circuits and architecture, adversarial and trustworthy AI system.

Dr. Gu received his Ph.D. degrees, under the supervision of Prof. David Z. Pan and Prof. Ray T. Chen, in Electrical and Computer Engineering from The University of Texas at Austin, Austin, TX, USA, in 2023. He has broad research interests spanning from emerging hardware design for efficient computing (photonics, post-CMOS electronics, quantum), hardware-algorithm co-design, efficient AI/ML algorithms, and electronic-photonic design automation.Dr. Gu has authored 80+ peer-reviewed international journal/conference papers in above area. He has received Best Paper Award at ASP-DAC 2020, selected as one out of 6 Best Paper Finalists at DAC 2020, won First Place at the ACM/SIGDA Student Research Competition (SRC) held…

Leslie Hwang is an assistant professor in the School of Electrical, Computer and Energy Engineering. She joined ASU after working at Synopsys as a senior research and development engineer, where she worked on the machine learning team for the company’s IC Validator, which verifies correctness and manufacturability of semiconductor chip designs. Hwang’s awards include an Intel computer engineering fellowship and the University of Illinois Urbana-Champaign’s Harold L. Olesen Undergraduate Teaching Award. Her expertise is in applied machine learning for physical design in electronics and advanced semiconductor packaging.

Kexin (Kathy) Li is an assistant professor in the School of Electrical Computer and Energy Engineering. She earned her Ph.D. in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign in 2022 and joined ASU after working as a postdoctoral researcher at Columbia University. Kexin’s research focuses on understanding and modeling the physical behavior of emerging nanoscale electronic materials and devices, to enable new system-level functionalities for high-power and high-frequency applications. Her current work involves building a framework for technology-circuit and device-circuit co-design, which requires expertise in nanoelectronics, semiconductor device physics, and circuit design. Kexin has collaborated extensively with…

Ozev has worked on testing mixed-signal and radiofrequency circuits, built-in-self test techniques, analysis and mitigation of process variations, defect-tolerant microprocessor systems and testing of microfluidic devices.

Arindam Sanyal is currently an assistant professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. Prior to this, he was an Assistant Professor in the Electrical Engineering Department at University at Buffalo SUNY. He was an analog design engineer with Silicon Laboratories between 2015-2016. He received his PhD in Electrical and Computer Engineering from the University of Texas at Austin in 2015, his M.Tech from The Indian Institute of Technology, Kharagpur in 2009 and B.E from Jadavpur University, India in 2007. His research expertise includes analog/mixed signal integrated circuits design and machine learning.

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