People
Professor
Hyesong Choi (최혜송), Ph.D.
Assistant Professor, School of Electronic Engineering, Soongsil University (Sep. 2025 - Present)
Director, Scalable AI Lab (SAIL)
Affiliated faculty: Department of AI-Bio (Graduate School), Department of Next-Generation Semiconductor
Hyesong Choi is an Assistant Professor in the School of Electronic Engineering at Soongsil University, where she directs the Scalable AI Lab (SAIL). She received her Ph.D. in Computer Science and Engineering from Ewha Womans University in August 2025 (Outstanding Dissertation Award, advisor: Prof. Dongbo Min) and joined Soongsil University as full-time faculty the following month. She was a research intern at NAVER AI Lab, a visiting researcher at the University of British Columbia (host: Prof. Kwang Moo Yi), and a visiting scholar at UIUC (host: Prof. James M. Rehg). Her research on efficient and trustworthy multimodal foundation models has appeared in 12 papers at CVPR, ICCV, ECCV, and NeurIPS, and is supported by the NRF Outstanding Early-Career Researcher Program.
Experience
| Sep. 2025 - Present | Assistant Professor, Soongsil University |
| Jan. 2026 - Feb. 2026 | Visiting Scholar, University of Illinois Urbana-Champaign (Host: Prof. James M. Rehg) |
| Mar. 2025 - Aug. 2025 | Research Intern, Backbone Research Group, NAVER AI Lab (Host: Dr. Dongyoon Han) |
| Sep. 2024 - Aug. 2025 | Instructor, Ewha Womans University |
| Jul. 2024 - Sep. 2024 | Visiting Researcher, University of British Columbia (Host: Prof. Kwang Moo Yi) |
| Mar. 2024 - Feb. 2025 | Adjunct Professor, Seoul Media Institute of Technology |
Academic Services
| Program Committee Member | AAAI 2027 |
| Conference Reviewer | CVPR 2022-2026; ICCV 2023, 2025; ECCV 2024, 2026; NeurIPS 2025, 2026; ICLR 2026, 2027 |
| Journal Reviewer | IJCV; Engineering Applications of Artificial Intelligence (EAAI) |
| Board Member | International Conference on ICT Convergence (ICTC), Nov. 2025 - Present |
| Expert Committee Member | Future Security Technology Forum (미래보안기술포럼), 2026 - Present |
Students
Current members (Sep. 2026): 3 graduate students and 9 undergraduate researchers
Graduate Students
Undergraduate Researchers
Soyeon Oh (오소연)
Undergraduate researcher
Large Language Models, Vision-Language Models, Trustworthy AI, Efficient AI
Papers: P7
E-mail: soyeon260202@gmail.com
Seona An (안선아)
Undergraduate researcher
Vision-Language-Action Models, Multimodal Learning, Physical AI, Efficient AI
Papers:
E-mail: seona04321@gmail.com
Kahyeon Nam (남가현)
Undergraduate researcher
AI Semiconductors, AI Accelerators, Quantization
Papers: P12
E-mail: chloenam33@gmail.com
Yoonsu Kim (김윤수)
Undergraduate researcher
Multimodal Learning, Vision-Language Models
Papers: P13
E-mail: yoonsoo2005@gmail.com
Minkyu Kim (김민규)
Undergraduate researcher
Trustworthy AI
E-mail: kimminkyu762@gmail.com
Sehun Park (박세훈)
Undergraduate researcher
Vision-Language-Action Models, Edge AI, AI Semiconductors
E-mail: psh6356424@naver.com
Hojin Jin (진호진)
Undergraduate researcher
Vision-Language-Action Models, Test-Time Adaptation
E-mail: alexjin9@naver.com
Junha Jung (정준하)
Undergraduate researcher
Quantization, Post-Training, Recursive Self-Improvement
E-mail: junha495@gmail.com
Minhyuk Kang (강민혁)
Undergraduate researcher
AI Semiconductors, Large Language Models, Multimodal Learning
E-mail: m0419902@gmail.com
Hyunbeen Yun (윤현빈)
Undergraduate researcher
Vision-Language-Action Models, Robot Learning, Efficient AI
E-mail: hbeenyun052@gmail.com
Yonggyu Ju (주용규)
Undergraduate researcher
Vision-Language-Action Models, AI Security
E-mail: wndydrb@gmail.com
Alumni and Former Members
| Sungjun Kim (김성준) | Former undergraduate researcher → now at SK hynix |
| Taehyung Roh (노태형) | Former undergraduate researcher (Soongsil University) |
Teaching
| Semester | Course | Level (enrollment) | Department |
|---|---|---|---|
| Fall 2026 | Machine Learning | Undergraduate (50) | Electronic Engineering |
| Fall 2026 | Advanced Programming | Undergraduate (39) | Electronic Engineering |
| Fall 2026 | AI Research Seminar | Graduate (12) | Electronic Engineering |
| Fall 2026 | Bio Deep Learning | Graduate (9) | AI-Bio |
| Spring 2026 | Artificial Neural Networks | Undergraduate (39) | Electronic Engineering |
| Spring 2026 | Multimedia Convergence Technology | Undergraduate (38) | Electronic Engineering |
| Spring 2026 | Bio Machine Learning | Graduate (13) | AI-Bio |
| Fall 2025 | Advanced Programming | Undergraduate (40) | Electronic Engineering |