Jason Cong received his B.S. degree in computer science from Peking University in 1985, his M.S. and Ph. D. degrees in computer science from the University of Illinois at Urbana-Champaign in 1987 and 1990, respectively. Currently, he is a Chancellor’s Professor at the Computer Science Department of University of California, Los Angeles, the director of Center for Domain-Specific Computing (CDSC), co-director of UCLA/Peking University Joint Research Institute in Science and Engineering, and co-director of the VLSI CAD Laboratory. He served as the chair of the UCLA Computer Science Department from 2005 to 2008.
Dr. Cong’s research interests include synthesis of VLSI circuits and systems, programmable systems, novel computer architectures, nano-systems, and highly scalable algorithms. He has over 390 publications in these areas, including 10 best paper awards and the 2011 ACM/IEEE A. Richard Newton Technical Impact Award in Electric Design Automation. He was elected to an IEEE Fellow in 2000 and ACM Fellow in 2008. He is the recipient of the 2010 IEEE Circuits and System (CAS) Society Technical Achievement Award "for seminal contributions to electronic design automation, especially in FPGA synthesis, VLSI interconnect optimization, and physical design automation." Dr. Cong has graduated 31 PhD students. Many of them are now faculty members in major research universities, including Cornell, Georgia Tech., Peking University, Purdue, SUNY Binghamton, UCLA, UIUC, and UT Austin. Four of them were co-founders, together with Dr. Cong, of two startups originated from UCLA – Aplus Design Technologies, which developed the first FPGA physical synthesis tool (acquired by Magma in 2003, now part of Synopsys) and AutoESL Design Technologies, which led to the most widely used high-level synthesis tool Vivado HLS (acquired by Xilinx in 2011). Others are in key R&D or management positions in various companies related to the information technologies, such as Bloomberg, Broadcom, Cadence, Facebook, Google, IBM, Intel, Mentor Graphics, Micron, Synopsys, and Xilinx.