David Zhigang Pan

Professor, Department of Electrical & Computer Engineering
David Z. Pan (IEEE Fellow, SPIE Fellow) received his B.S. degree from Peking University, and his M.S. and Ph.D. degrees from University of California, Los Angeles (UCLA). From 2000 to 2003, he was a Research Staff Member with the IBM T. J. Watson Research Center, Yorktown Heights, NY. He has been an Assistant Professor (2003-2008), Associate Professor (2008-2013), and Professor (2013-) with The University of Texas at Austin. His research interests include electronic design automation, efficient machine learning, hardware acceleration, prototyping for analog/digital/mixed-signal designs and emerging technologies. He has published over 400 refereed journal and conference papers, and is the holder of 8 U.S. Patents. He has graduated 40 PhDs and postdocs at UT Austin, who are now taking key academic and industry roles.


Research Interests: 
  • Architecture, Computer Systems, and Embedded Systems
  • Integrated Circuits & Systems
Current Research: 

Design automation for digital/analog/mixed-signal circuits and systems; hardware software co-design for machine learning; hardware security; FPGA prototyping; optical computing and optical interconnect; CAD for emerging technologies and applications; vertical integration of architecture, CAD/circuit, and technology

Select Publications

Jiaqi Gu, Zheng Zhao, Chenghao Feng, Mingjie Liu, Ray T. Chen, David Z. Pan, “Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture,” Asian and South Pacific Design Automation Conference (ASP-DAC), 2020. (Best Paper Award)

Yibo Lin, Shounak Dhar, Wuxi Li, Haoxing Ren, Brucek Khailany and David Z. Pan, “DREAMPlace: Deep Learning Toolkit Enabled GPU Acceleration for Modern VLSI Placement,” Design Automation Conference (DAC), 2019. (Best Paper Award)

Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, and Yier Jin, “AppSAT: Approximately Deobfuscating Integrated Circuits,” IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2017 (Best Paper Award)

Bei Yu, Xiaoqing Xu, Jhih-Rong Gao and David Z. Pan, "Methodology for Standard Cell Compliance and Detailed Placement for Triple Patterning Lithography," International Conference on Computer-Aided Design (ICCAD), 2013. (William J. MacCalla Best Paper Award)

Jae-Seok Yang, Katrina Lu, Minsik Cho, Kun Yuan, and David Z. Pan, “A New Graph-Theoretic, Multi-Objective Layout Decomposition Framework for Double Patterning Lithography,” Asian and South Pacific Design Automation Conference (ASP-DAC), 2010. (Best Paper Award) (IBM Research Pat Goldberg Memorial Best Paper Award in Computer Science, Electrical Engineering and Math)

Awards & Honors

2021 - Honor for PhD Student Jiaqi Gu: First Place, ACM SRC Grand Finals (Graduate Category)
2020 - Best Paper Award, ISPD
2020 - Best Paper Award, ASP-DAC
2019 - Best Paper Award, DAC
2018 - Honor for PhD Student Meng Li: First Place, ACM SRC Grand Finals (Graduate Category)
2017 - SPIE Fellow
2014 - IEEE Fellow
2013 - William J. McCalla Best Paper Award, ICCAD
2013 - SRC Technical Excellence Award