Siemens EDA and the IEEE Council on EDA’s Design Automation Technical Committee (IEEE CEDA DATC) have pioneered a new interaction model to enable and accelerate academic EDA research. Notably, first-ever public benchmarking results have been developed for Aprisa P&R on open design testcases and PDKs, to boost progress in the RTL-to-GDS research ecosystem. The results are fully reproducible using tool scripts that are available in a public GitHub repository.

Distinguished Professor of CSE and ECE
Andrew B. Kahng is Distinguished Professor of CSE and ECE and holder of the endowed chair in high-performance computing at UC San Diego. He was visiting scientist at Cadence (1995-97) and founder/CTO at Blaze DFM (2004-06). He is coauthor of 3 books and over 500 journal and conference papers, holds 35 issued U.S. patents, and is a fellow of ACM and IEEE. He was the 2019 Ho-Am Prize laureate in Engineering. He has served as general chair of conferences such as DAC, ISPD, SLIP and MLCAD, and from 2000-2016 served as international chair/co-chair of the International Technology Roadmap for Semiconductors (ITRS) Design and System Drivers working groups. He was the principal investigator of the U.S. DARPA “OpenROAD” project from June 2018 to December 2023, and until August 2023 served as principal investigator and director of “TILOS”, a U.S. NSF AI Research Institute.

Assistant Professor of Electrical, Computer, and Energy Engineering
Vidya A. Chhabria is an assistant professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University. She graduated with her Ph.D. and M.Sc degrees from the University of Minnesota in 2022 and 2018. She received her B.E. degree in Electronics and Communication Engineering from M. S. Ramaiah Institute of Technology (affiliated with Visveswaraya Technological University, India) in 2016. She spent her graduate research internships at Qualcomm in 2017 and NVIDIA Research (ASIC VLSI Research Group) in 2020 and 2021. Her research interests lie in computer-aided design (CAD) for VLSI systems and primarily revolve around physical design, optimization, and analysis algorithms. She has received ICCAD Best Paper Award (2021), the University of Minnesota Graduate School's Best Dissertation Award in the Physical Sciences, Mathematics, and Engineering Category for 2024, and Doctoral Dissertation Fellowship (2021).