- Ph.D., Computer System Engineering, University of Massachusetts Amherst
Developing novel algorithms, design methodologies, and automation systems for computing system/hardware. Recent research focuses on leveraging ML/DL in DA and software-hardware co-design for DL acceleration.
Cunxi is a tenure-track Assistant Professor in the ECE Department at the University of Utah. Cunxi was a PostDoc Cornell University with Prof. Zhiru Zhang in 2018-2019, and was a PostDoc at Integrated Systems Laboratory (LSI) at EPFL, Lausanne, Switzerland, with Prof. Giovanni De Micheli in 2017-2018. He received Ph.D. degree from University of Massachusetts Amherst (UMass Amherst) in 2017, under the supervision of Prof. Maciej Ciesielski. His research interests focus on novel algorithm, system, and hardware designs for computing and security, with special focuses on formal methods, design automation, and machine learning. Cunxi was a research intern at IBM T.J Watson Research Center in 2015 and 2016. His work received the best paper nomination at ASP-DAC (2017), TCAD Best paper nomination (2018), the 1st place at DAC Security Contest (2017), nomination for ACM Outstanding Ph.D dissertation (by UMass Amherst, 2017), and NSF CAREER Award (2021). He served as Organizing Committee in IWLS, ICCD, VLSI-SoC, ASAP, as TPC member in ICCAD, DATE, ASP-DAC, and panelist/reviewer for several funding agencies. Yu's group is currently supported by NSF FMiTF Award, NSF SHF Core, NSF CAREER Award, Xilinx, and DOE Center for Integrated Nanotechnologies (CINT).