I am a Senior R&D Engineer at Synopsys Inc. working with the Custom Design and Physical Verification Group. I received my PhD in the Electrical and Computer Engineering Department from the University of Texas at Austin under the supervision of Prof. David Z. Pan @ UTDA research group.
My research is mainly focused on machine learning and its applications in VLSI CAD, autonomous system validation, and medical data analytics.
10/2021: Our Work, "DREAMPlaceFPGA: an open-source analytical placer for large scale heterogeneous FPGAs using deep-learning toolkit," is accepted at IEEE ASPDAC 2022!
07/2021: Our Work, “ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection” is accepted at IEEE MLCAD 2021!
07/2021: My co-authored article "An Efficient Automatic Structure Design Method of Silicon on Insulator Lateral Power Device Considering RESURF Constraint" is accepted for publication in IEEE Transactions on Electron Devices.
01/2021: I joined Synopsys as a Senior R&D Engineer!
11/2020: I successfully defended my PhD dissertation "Machine Learning for VLSI Computer Aided Design"!
09/2020: Our Work, “Re-examining VLSI Manufacturing and Yield through the Lens of Deep Learning”, will be presented in a special session @ ICCAD 2020.
07/2020: My co-authored article “Automatic Selection of Structure Parameters of SOI LDMOS Using Bayesian Optimization” is accepted for publication in IEEE Electron Device Letters.
B.E. in Electrical and Computer Engineering
M.S. in Electrical and Computer Engineering
Ph.D. in Electrical and Computer Engineering