Hao-Hsiang Hsiao

PhD student in ECE at GT
Email: thsiao@gatech.edu
Linkedin

Welcome to my personal website!
I am currently a third-year Ph.D. student at the Georgia Tech Computer-aided Design Lab (GTCAD), under the supervision of Prof. Sung Kyu Lim. I received my B.S. in Electrical Engineering from National Taiwan University and my M.S. in Electrical Engineering and Computer Science from the University of California, Irvine. My research focuses on leveraging machine learning and reinforcement learning techniques to enhance the Electronic Design Automation (EDA) flow for both 2D and 3D Integrated Circuits.

Experience


Technical Intern, R&D Team, EDA Group, at Synopsys Inc., Sunnyvale, CA
Summer 2025

PhD Research Intern, Design Automation, at NVIDIA, Santa Clara, CA
Spring 2025

Technical Intern, R&D Team, EDA Group, at Synopsys Inc., Sunnyvale, CA
May 2024 - December 2024

  • Developed an Intelligent Recipe Recommendation System for Fusion Compiler

Graduate Research Assistant at Georgia Institue of Technology
August 2022 - Present

  • AI-based Physical Design Automation for 2D and 3D ICs (Samsung, 2024-27)
  • Physical Design Using Reinforcement Learning (NSF, 2023-25)
  • Physical Design Closure with Machine Learning (Synopsys, 2024-25)
  • Routability Prediction and Optimization for 3D ICs (Nvidia, 2024-25)

Technical Intern, R&D Team, Silicon Realization Group, at Synopsys Inc., Sunnyvale, CA (remote)
Summer 2022

  • Developed a Reinforcement Learning AI agent for Physical Design global placement

Machine Leaning Engineer at Augentix Inc., Hsinchu
2021

  • Developed face recognition models for camera SoCs

Publications

DCO-3D: Differentiable Congestion Optimization in 3D ICs
Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-iampikul, Anthony Agnesina, Rongjian Liang, Yuan-Hsiang Lu, Haoxing Ren and Sung Kyu Lim,
62nd ACM Design Automation Conference (DAC), 2025.

InsightAlign: A Transferable Physical Design Recipe Recommender Based on Design Insights
Hao-Hsiang Hsiao, Sudipto Kundu, Wei Zeng, Wei-Ting Jonas Chan, Deyuan Guo and Sung Kyu Lim,
62nd ACM Design Automation Conference (DAC), 2025.

ML-based Physical Design Parameter Optimization for 3D ICs: From Parameter Selection to Optimization
Hao-Hsiang Hsiao, Pruek Vanna-iampikul, Yi-Chen Lu, and Sung Kyu Lim,
61th ACM Design Automation Conference (DAC), 2024.
[Link]

GAN-Place: Advancing Open-Source Placers to Commercial-uality using Generative Adversarial Networks and Transfer Learning
Yi-Chen Lu, Haoxing Ren, Hao-Hsiang Hsiao, and Sung Kyu Lim,
ACM Transactions on Design Automation of Electronic Systems.
[Link]

FastTuner: Transferable Physical Design Parameter Optimization using Fast Reinforcement Learning
Hao-Hsiang Hsiao, Yi-Chen Lu, Pruek Vanna-Iampikul, and Sung Kyu Lim,
28th ACM International Symposium on Physical Design (ISPD), 2024.
[Link]

DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning
Yi-Chen Lu, Haoxing Ren, Hao-Hsiang Hsiao, and Sung Kyu Lim,
27th ACM International Symposium on Physical Design (ISPD), 2023.
[Link]