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
01/2021: I joined Synopsys as a Senior R&D Engineer!
11/2020: I successfully defended by 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.
07/2020: I presented my PhD work @ DAC 2020 PhD Forum.
06/2020: My co-authored paper “TEMPO: Fast Mask Topography Effect Modeling with Deep Learning,” received Best Paper Award @ ACM International Symposium on Physical Design (ISPD), 2020
05/2020: Our article “GAN-SRAF: Sub-Resolution Assist Feature Generation using Generative Adversarial Networks” is accepted for publication in IEEE Transactions on Computer Aided Design (TCAD).
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
