Deliang Fan is an associate professor in the Department of Electrical and Computer Engineering (ECE). He received his master’s and PhD in electrical and computer engineering from Purdue University in 2012 and 2015, respectively.
Fan’s primary research interest includes energy efficient and high performance in-memory computing circuit, architecture, and algorithm cross-layer co-design, with applications in deep neural network, data encryption, graph processing and bioinformatics; artificial intelligence and machine learning systems hardware and software co-design, trustworthy AI systems, and brain-inspired (neuromorphic) computing. He has authored more than 160 peer-reviewed international journal and conference research papers. He is also the recipient of a National Science Foundation CAREER Award, the 2019 ACM Great Lakes Symposium’s Best Paper Award on VLSI, 2018 IEEE Computer Society Annual Symposium’s Best Paper Award on VLSI (ISVLSI), the 2017 IEEE Best Paper Award (ISVLSI), and the 2022 Design Automation and Test in Europe’s Best IP Paper Award. His research works were also nominated as best paper candidate in the 2019 Asia and South Pacific Design Automation Conference (ASPDAC) and the 2019 International Symposium on Quality Electronic Design (ISQED).
He is the TPC co-chair of ISQED 2023, co-chair of iMACAW@DAC 2022 and 2023, technical area chair of DAC 2021, GLSVLSI 2019-2022, ISQED 2019-2022, and the financial chair of ISVLSI 2019. He also served as a technical reviewer for more than 30 international journals and conferences, such as Nature Electronics, IEEE TNNLS, TVLSI, TCAD, TNANO, TC, TCAS, and more. He also served as a technical program committee member of DAC, ICCAD, HPCA, MICRO, WACV, GLSVLSI, ISVLSI, ASP-DAC, among others.