Woosung Kang

Postdoctoral Researcher at DGIST. Building predictable and efficient AI systems for real-time and embedded platforms.

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Real-Time Computing Lab
DGIST · Daegu, South Korea

woosungkang@dgist.ac.kr
fredrickangws@gmail.com

Welcome! I am a postdoctoral researcher in the Department of Electrical Engineering and Computer Science at Daegu Gyeongbuk Institute of Science and Technology (DGIST), where I work in the Real-Time Computing Lab under Prof. Hoon Sung Chwa. I received both my Ph.D. and B.S. from DGIST.

My research lies at the intersection of real-time systems and deep learning. I design system-level frameworks—spanning task scheduling and CPU/GPU resource management—that make DNN inference on resource-constrained embedded and edge platforms both efficient and time-predictable. A recurring theme in my work is taming GPU memory and compute bottlenecks so that latency-critical applications can reliably meet their real-time guarantees.

I am always glad to discuss research or potential collaborations. Feel free to reach out at woosungkang (at) dgist.ac.kr.

news

selected publications

  1. Woosung Kang, Filippo Muzzini, Gianluca Brilli, Jong-Chan Kim, Jinkyu Lee, and Hoon Sung Chwa
    In 2026 IEEE 32nd Real-Time and Embedded Technology and Applications Symposium (RTAS). 🏆 Best Paper Award , 2026
  2. Woosung Kang, Jinkyu Lee, Youngmoon Lee, Sangeun Oh, Kilho Lee, and Hoon Sung Chwa
    In 2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS), 2024
  3. Woosung Kang, Siwoo Chung, Jeremy Yuhyun Kim, Youngmoon Lee, Kilho Lee, Jinkyu Lee, Kang G. Shin, and Hoon Sung Chwa
    In 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS), 2022
  4. Woosung Kang, Kilho Lee, Jinkyu Lee, Insik Shin, and Hoon Sung Chwa
    In 2021 IEEE Real-Time Systems Symposium (RTSS), 2021