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), Professor (2013-), and Engineering Foundation Endowed Professor (2014-) with the Department of Electrical and Computer Engineering, The University of Texas at Austin. His research interests include cross-layer nanometer IC design for manufacturability/reliability, new frontiers of physical design, and CAD for emerging technologies such as 3D-IC, bio, and nanophotonics. He has published over 320 refereed journal and conference papers, and is the holder of 8 U.S. Patents. He has graduated 25 PhD students at UT Austin, who are now taking key academic and industry roles.

Research

Research Interests: 
  • Integrated Circuits & Systems
Current Research: 

Design automation for digital/analog/mixed-signal ICs and systems; Design for manufacturability/reliability/security; FPGA prototyping and acceleration; Optical computing and optical interconnect; CAD for emerging technologies and applications; Vertical integration of architecture, CAD/circuit, and technology

Select Publications

Biying Xu, Yibo Lin, Xiyuan Tang, Shaolan Li, Linxiao Shen, Nan Sun and David Z. Pan. June 2019. "WellGAN: Generative-Adversarial-Network-Guided Well Generation for Analog/Mixed-Signal Circuit Layout". Las Vegas, Nevada.
Yibo Lin, Shounak Dhar, Wuxi Li, Haoxing Ren, Brucek Khailany and David Z. Pan. June 2019. "DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement ". Las Vegas, Nevada.
Wei Ye, Mohamed Baker Alawieh, Yibo Lin, and David Z. Pan. June 2019. "LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks ". Las Vegas, Nevada.
Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang and David Z. Pan. June 2019. "GAN-SRAF: Sub-Resolution Assist Feature Generation using Conditional Generative Adversarial Networks". Las Vegas, Nevada.
Mohamed Baker Alawieh, Sinead Williamson and David Z. Pan. June 2019. "Rethinking Sparsity in Performance Modeling for Analog and Mixed Circuits using Spike and Slab Models". Las Vegas, Nevada.

Awards & Honors

2018 - Best Paper Award, 28th ACM Great Lakes Symposium
2018 - Best Paper Award, Integration - the VLSI Journal
2017 - Best Paper Award, IEEE International Symposium
2017 - ACM ISPD Contest: First Place
2017 - SPIE Fellow
2016 - ACM International Symposium on Physical Design Contest: First Place
2016 - Franco Cerrina Memorial Best Student Paper Award, SPIE Advanced Lithography
2015 - Best in Session Award, SRC Techcon
2015 - ASP-DAC Frequently Cited Author Award
2015 - ASP-DAC 10-Year Retrospective Most Influential Paper Award Candidate