Electronic design automation faculty
Electronic design automation
Electronics can have billions of transistors on a single microchip. Modern technology has sped up the design of such complicated chips through the use of electronic design automation, or EDA, programs, which automate parts of chip design.
Electrical engineering faculty members in the Ira A. Fulton Schools of Engineering at Arizona State University are conducting research to improve EDA by incorporating machine learning into the process, measuring carbon footprint as a metric for designs and more.
Chaitali Chakrabarti
Professor
School of Electrical, Computer and Energy Engineering
- [email protected]
- 480/965-9516
- GWC 302B
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
Professor
School of Electrical, Computer and Energy Engineering
Krishnendu Chakrabarty is the Fulton Professor of Microelectronics in the School of Electrical, Computer and Energy Engineering at Arizona State University.
Vidya Chhabria
Assistant Professor
School of Electrical, Computer and Energy Engineering
- [email protected]
- 781 E. Terrace Mall ISTB4 – 473
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.
Deliang Fan
Associate Professor
School of Electrical, Computer and Energy Engineering
- [email protected]
- 480/727-1922
- ISTB4 building, Room 475
Fan’s research interests include efficient AI hardware and algorithm, digital chip design, in-memory computing circuits and architecture, adversarial and trustworthy AI system.
Sule Ozev
Professor
School of Electrical, Computer and Energy Engineering
- [email protected]
- 480/727-7547
- ISTB4 565
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
Assistant Professor
School of Electrical, Computer and Energy Engineering
- [email protected]
- ISTB4 555b
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 design, bio-medical sensor design, hardware security and neuromorphic computing.
Jeff Zhang
Assistant Professor
School of Electrical, Computer and Energy Engineering
- [email protected]
- ISTB4 467 Arizona State University
Zhang’s research expertise spans deep learning, computer architecture, embedded systems and VLSI design automation.