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.
Integrated Circuits & Systems
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
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.