School of Integrated Technology, College of Engineering, Yonsei University
Research groups: Embedded Intelligent Systems Laboratory @ Yonsei and Medical Vision Lab @ SNUH
Contact:
jaewon-choi [a.t] yonsei.ac.kr (school)
jaewon.james.choi [a.t] gmail.com (personal)
I’m Jaewon Choi, a Ph.D. student in the School of Integrated Technology at Yonsei University. My research interests span Mobile VR/AR Systems, Neural Video Streaming, Edge Computing, and more recently, Agentic AI for Medical Systems.
I received my B.E. degree in Software and Computer Engineering and B.S. in Mathematics (double major) from Ajou University in 2017, and my M.E. degree in 2020, also from Ajou University.
I currently work as a Researcher at the Department of Transdisciplinary Medicine, Seoul National University Hospital (PI: Prof. Young-Gon Kim), focusing on agent-based AI systems in clinical settings.
I work with Prof. JeongGil Ko, who leads the Embedded Intelligent Systems Laboratory at Yonsei University. If you’re interested in our research, feel free to contact me or any of our lab members:
Nokia Bell Labs, Cambridge, UK – Research Intern
Summer 2021
Worked on Edge AI accelerators such as NVIDIA Jetson and Google TPU as part of the Pervasive Systems Department.
Naver Corp., South Korea – Software Engineer Intern
Jan 2017 – Feb 2017
Developed a user log analysis framework based on Spark/Hadoop, and designed a hierarchical MFU cache mechanism for efficient batch processing of statistics.
Ajou University Hospital, South Korea – Research Engineer
Mar 2016 – Dec 2016
Built a real-time medical biosignal acquisition and analysis system.
Bluehole Studio (now part of Krafton), South Korea – Graphics Engineering Intern
Jun 2014 – Aug 2014
Contributed to real-time rendering pipeline optimization and graphics performance improvements in the in-house game engine.
If you’d like to connect or collaborate, please feel free to reach out via email:
✉️ jaewon-choi [a.t] yonsei.ac.kr
Jaewon Choi, Seungchan Jeong, JeongGil Ko. "Emulating Your eXtended World: An Emulation Environment for XR App Development", IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS) 2022, Denver, CO. (Invited Paper; NRF-listed Top CS Conference) [pdf]
Jaewon Choi, JeongGil Ko*. "Low Quality for High Quality: Exploiting 2K Frames for Supporting Efficient 4K-Quality Pervasive Video Streaming Applications", IEEE Pervasive Computing, Special Issue on Pervasive Video and Audio. * Corresponding Author. (IF=4.41; JCR IF Top 25%)
Jaewon Choi, HyeonJung Park, Jeongyeup Paek, Rajesh Krishna Balan, JeongGil Ko. "LpGL: Low-power Graphics Library for Mobile AR Headsets", ACM MobiSys 2019. (Acceptance Rate: 22%; NRF CS-Area Top Conference)
Jaewon Choi, Hyeonjung Park, Jeongyeup Paek, Rajesh K. Balan, JeongGil Ko, "Demo: A Low-power Graphics Library for Mobile AR Headset Application Development", ACM HotMobile 2019, Santa Cruz, CA. (Best Demo Award)
Hyo Jung Cho#, Jaewon Choi#, Bohyun Kim, JeongGil Ko, Joon-Il Choi, Jimi Huh, Jei Hee Lee, Jai Keun Kim. "Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease", Abdominal Radiology (Published Online). (IF=3.039) # Equally Contributing Co-first Authors
Seung Ah Chung, Jaewon Choi, Seungchan Jeong, JeongGil Ko. "Block-building Performance Test Using a Virtual Reality Head-mounted Display in Children with Intermittent Exotropia", Nature Eye, September 2020 (IF=2.366) (Published Online).
Jaeyeon Park, Woojin Nam, Tae Young Kim, Jaewon Choi, Sukhoon Lee, Dukyong Yoon, Jeongyeop Paek, JeongGil Ko. "Glasses For the Third Eye: Improving the Quality of Clinical Data Analysis with Motion Sensor-based Filtering", ACM SenSys 2017. (Acceptance Rate: 17%; NRF CS-Area Top Conference)