I am a Senior Staff 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 a co-Investigator and AI Implementation Lead at Stroke Thrombectomy & Aneurysm Registry (STAR), working on developing data-driven decision-support systems complex clinical environments.
My research is mainly focused on machine learning and its applications in VLSI CAD, autonomous system validation, and medical data analytics.
I serve as the president of Kaffi, a nonprofit organization that aims to support the education of Lebanese students abroad.
05/2026: I will serve as a Technical Program Committee member @ ICCAD'26.
04/2025: Our patent "Circuit variation analysis using information sharing across different scenarios" is published.
07/2024: Our patent "Using surrogate netlists for variation analysis of process variations" is published.
05/2024: I will serve as a Technical Program Committee member @ MLCAD'24.
01/2024: I was promoted to Senior Staff R&D Engineer @ Synopsys.
11/2022: I will serve as a Technical Program Committee member @ DAC'23.
11/2022: My co-authored book chapter, "CAD for Analog/Mixed‐Signal Integrated Circuits," is published in Advances in Semiconductor Technologies: Selected Topics Beyond Conventional CMOS, John Wiley & Sons, Inc.
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.
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