prof_pic.jpg

Hyunwon Chung

Efficient AI · Reconfigurable Architecture · VLSI

PhD Student

University of Michigan

Electrical and Computer Engineering

Email · Google Scholar · LinkedIn

Hello! My name is Hyunwon Chung, and I am a PhD student at the University of Michigan. I am supervised by Professors David Blaauw and Hun-Seok Kim.

My research interests span reconfigurable and dataflow architecture for wireless communication and machine learning. I have taped out multiple chips across a diverse range of process technologies, including GF 12nm; TSMC 16nm, 22nm, 28nm, and 130nm; and DBH 90nm. These designs include heterogeneous SoCs for beyond-5G optical communication and streaming processors for advanced spectrum sensing.

More recently, my work has focused on efficient hardware for large language models. I design hardware architectures tailored for approximation techniques in billion-parameter LLMs, develop performance and energy models to analyze the hardware impact of approximation algorithms, and perform architecture-level design space exploration to identify efficient accelerator configurations for approximated LLM workloads.


news

May 2026 Our paper was submitted to NeurIPS 2026. Fingers crossed!
Mar 2026 Paper accepted to IEEE Symposium on VLSI Circuits 2026! (Best Paper Nominated)
Feb 2026 Paper I co-authored was accepted and published in IEEE Transactions on Circuits and Systems I (TCAS-I)!
Sep 2025 Finished another tapeout using TSMC 28nm !
Aug 2024 Started PhD at the University of Michigan-Ann Arbor ! :sparkles: :smile:
Nov 2023 Finished my first tapeout using GF 12nm !
Aug 2022 Started master’s at the University of Michigan-Ann Arbor ! :hear_no_evil:
Feb 2022 Graduated with a Bachelor’s degree in Electrical Engineering from Korea University !

publications

  1. VLSI
    A 248.5 GFLOPS/mm2, 1.67 TFLOPS/W Streaming Processor with Hardware-Level Scheduling for Advanced Spectrum Sensing
    Hyunwon Chung, Parin Senta, Jason Yu, Yukun Fang, Pierre Abillama, Kuan-Yu Chen, and 3 more authors
    In IEEE Symposium on VLSI Technology and Circuits, 2026
    Best Student Paper Nomination
  2. VLSI
    A 95.0 dB Dynamic Range Zero-Bias PV Light-to-Digital Converter for Seawater Monitoring with Single Point Calibration
    Sanghyuck Moon, Ashfakh Huluvallay, Hyunwon Chung, Myeongsu Ko, Seokhyeon Jeong, Jungho Lee, and 10 more authors
    In IEEE Symposium on VLSI Technology and Circuits, 2026
  3. TCAS-I
    QFEC: A 9.97 Gb/s Fully Configurable Quad-Mode Decoder for LDPC, Polar, Turbo, and Convolutional Codes
    Yufan Yue, Kuan-Yu Chen, Xiangdong Wei, Tutu Ajayi, Hyunwon Chung, Ronald Dreslinski, and 2 more authors
    IEEE Transactions on Circuits and Systems I: Regular Papers, 2026
  4. D&T
    An Overview of Challenges and Requirements for Real-Time Spectrum Sensing in Modern RF Autonomy Systems
    Jiahao Lin, H. Umut Suluhan, Hyunwon Chung, Arindam Dutta, Anish Vipperla, Gerard Gubash, and 8 more authors
    IEEE Design & Test, 2025
  5. JCA
    Automatic Peak Detection Algorithm Based on Continuous Wavelet Transform for Complex Chromatograms from Multi-Detector Micro-Scale Gas Chromatographs
    Xiangyu Zhao, Ryan Aridi, Jacob Hume, Swetha Subbiah, Xingqi Wu, Hyunwon Chung, and 2 more authors
    Journal of Chromatography A, 2024