Your week at a glance
- Small group — you facilitate Group 6 · Andromeda on Day 1 (Problem framing).
- Job talk — Day 6 (Sat, Jun 27), 9:15 AM · Room B · Alder 103 — “Elevating Large-Scale Pre-Trained Models into Foundation Models for Mobile Sensing”.
- Poster — Day 7 (Sun, Jun 28) · Session B (10:30–11:30 AM).
Hyungjun Yoon is a Ph.D. candidate in the Mobile Intelligence and Interaction Lab (MIIL) at KAIST, advised by Prof. Sung-Ju Lee. His research focuses on foundation models and large language models (LLMs) for mobile sensing and healthcare applications. He was a research intern at Microsoft Research mentored by Prof. Lili Qiu, a research intern at Nokia Bell Labs hosted by Prof. Fahim Kawsar, and a visiting researcher at NTU advised by Prof. Mo Li. His recent work explores multi-agent collaboration for multimodal sensing, foundation models for earphone-based ExG signals, and grounding LLMs with sensor data. His broader goal is to develop scalable and generalizable AI systems that bridge foundation models and real-world health sensing applications.
Awards & honors
Recognition
- Winner, Qualcomm Innovation Fellowship (2025)
- Finalist, Qualcomm Innovation Fellowship (2025)
- Best Paper Honorable Mention Award, ACM CHI 2022 (2022)
- Dean's List, College of Engineering, KAIST (2019)