Vidya Chhabria
Assistant Professor at Arizona State University
Tempe, Arizona, United States
Summary
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Rockstar🎓
Top SchoolVidya Chhabria is an Assistant Professor at Arizona State University specializing in VLSI design, electronic design automation (EDA), and machine learning methods for energy-efficient and sustainable computing systems. With six years of industry and research experience—including internships at NVIDIA and hands-on work at Qualcomm—she bridges academic rigor and practical ASIC/VLSI problem solving. Her PhD work and contributions to open-source EDA tooling, notably integrating a power-delivery network simulator into the widely used OpenROAD RTL-to-GDS flow, reflect a focus on scalable, production-relevant solutions. She routinely applies ML and GPU acceleration to circuit-level challenges such as crosstalk and IR-drop estimation, and she is actively recruiting PhD students to push these directions further. Notably, her background spans both low-level timing and power closure techniques and higher-level sustainability goals, giving her research a rare systems-to-societal perspective.
6 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, 3.75, Doctor of Philosophy - PhD, Electrical Engineering, 3.75 at University of MinnesotaUniversity of Minnesota Twin CitiesBachelor’s Degree, Electrical, Electronics and Communications Engineering, Bachelor’s Degree, Electrical, Electronics and Communications Engineering at M.S. Ramaiah Institute Of Technology
English, Sindhi, Hindi, Kannada
Github Skills (7)
c-language10
cprogramming-language10
eda10
timing9
performance-analysis9
verilog9
tcl8
Programming languages (4)
Github contributions (5)
The-OpenROAD-Project/OpenROAD
Feb 2020 - Dec 2022
OpenROAD's unified application implementing an RTL-to-GDS Flow. Documentation at https://openroad.readthedocs.io/en/latest/
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 reviews, 161 commits, 37 PRs in 2 years 10 months
Contributions summary:Vidya contributed to the integration of PDNSim, likely a power delivery network simulator, into the OpenROAD flow. Their initial commit introduced the necessary headers and initialization routines for PDNSim, alongside code modifications in core files like `OpenRoad.hh`, `OpenRoad.cc`, and `OpenRoad.i`. Subsequent commits merged the `add_pdnsim` branch, suggesting the completion of the initial integration, and addressed merge conflicts, indicating an ongoing effort to incorporate the new functionality into the project.
opendb-databasertlcppgdstcl
The-OpenROAD-Project/OpeNPDN
Sep 2019 - Aug 2022
Public repository for Task 6 of OpenROAD project. ML-based PDN synthesis and optimization.
Contributions:37 commits, 59 pushes, 24 branches in 2 years 11 months
ml-projectpublic-repositorydeep-learningoptimizationpdn
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