Che-Ming (Jerry) Chang

USC ECE Ph.D. student

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I am a Ph.D. student affiliated with Southern California Computer-Aided Design Lab (SCCAD), advised by Prof. Sung Kyu Lim. I received my B.S. in Electrical Engineering from National Taiwan University in June 2024 and previously interned at IBM Research.

My research interests lie in ML-driven Electronic Design Automation (EDA), particular in

  • Orchestration
  • Optimization algorithms (differentiablility, gradient geometry)
  • Scientific / Geometric ML for Heterogeneous Integration (2.5D IC)
In addition, I have hands-on experience across the digital VLSI design flow — from RTL to GDSII — using commercial tools like Synopsys Design Compiler and Cadence Innovus. Outside of research, I enjoy working out, playing volleyball, and playing the piano.

news

Jan 07, 2026 My internship research paper, ‘‘CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization’’, has been accepted to EACL 2026 industrial track! :tada::tada:
Nov 25, 2025 Received ICCAD 2025 Student Scholar Program Award! :sparkles: :smile:
Jun 19, 2025 Preparing my PhD journey, I started building my website! :sparkles: :smile:

selected publications

  1. ICCAD
    Advanced Packaging Warpage Modeling with DeepONet-Based Operator Learning
    Shao-Yu Lo, Che-Ming Chang, and Yao-Wen Chang
    In Proceedings of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025
    DOI
  2. TQE
    Quantum Circuit Compilation for Trapped-Ion Processors With the Drive-Through Architecture
    Che-Ming Chang, Jie-Hong Roland Jiang, Dah-Wei Chiou, Ting Hsu, and Guin-Dar Lin
    IEEE Transactions on Quantum Engineering, 2025
    DOI
  3. ASP-DAC
    Mixed-Size Placement Prototyping Based on Reinforcement Learning with Semi-Concurrent Optimization
    Cheng-Yu Chiang, Yi-Hsien Chiang, Chao-Chi Lan, Yang Hsu, Che-Ming Chang, and 4 more authors
    In Proceedings of IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2025
    DOI