Expertise: Electrical and computer engineering with a focus on digital VLSI hardware-aware artificial intelligence

Arizona State University’s world-class research facilities are what brought Deliang Fan to Tempe to conduct cutting-edge research on in-memory computing circuit and architecture designs.

“This research has the potential to improve three orders of magnitude higher energy efficiency and speed over current state-of-the-art computers,” Fan says.

Fan joins ASU from the University of Central Florida where he was as an assistant professor for four years after earning both his master’s and doctoral degrees in electrical and computer engineering from Purdue University.

He will be teaching a course on digital systems and circuits and is expecting students taking his classes to have the basic knowledge of digital and analog circuits to prepare for analyzing and designing digital integrated circuits.

Fan’s research group will focus on developing energy-efficient, high-performance big data processing-in-memory circuits, architecture and systems. This work will impact extensive computing applications, such as artificial intelligence, deep neural networks, data encryption, graph processing and bioinformatics.

Fan is enthusiastic to develop high-performance and energy-efficient intelligent computers.

“Integrated circuits are a keystone of modern electronics,” he says. “They are also the heart and brains of modern computers. I am always willing to dedicate myself to pushing the limit of integrated circuit design.”

The author of more than 80 peer-reviewed international journal and conference research papers, Fan was awarded best paper awards at the 2019 ACM Great Lakes Symposium on very-large-scale integration (VSLI), the 2018 IEEE Computer Society Annual Symposium on VLSI and the 2017 IEEE Computer Society Annual Symposium on VLSI.