About me
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.
I am also a collaborator at Stroke Thrombectomy and Aneurysm Registry (STAR) as part of the STAR-AI team.
My research is mainly focused on machine learning and its applications in VLSI CAD, autonomous system validation, and medical data analytics.
News
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.
Honors & Awards
2020: Best Paper Award, International Symposium on Physical Design
2019: Best Paper Award Nomination, Design Automation Conference (DAC)
2014: High Distinction, American University of Beirut
Education
B.E. in Electrical and Computer Engineering
2014
M.S. in Electrical and Computer Engineering
2016
Ph.D. in Electrical and Computer Engineering
2020
