(chs991209@gmail.com | linkedin.com/in/chscamping | google scholar)
Observe my scholar information at here.
- Research
– Reasoning Collapse in Multi-agent System PI: Prof. Gwangsu Kim
– Core algorithms research (for algorithm development) for enhancement on reasoning collapses
of multi-agent systems
– Algorithm research
Narrowing down to single algorithm targeting reasoning collapses’ handling
– Referencing 'RAGEN-2: Reasoning Collapse in Agentic RL' Zenus Wan et al. at ICML 2026 Oral
(after attending ICML 2026 and contacting (through conversation) him)
- Studies
– Data Mining
– NLP
– Information Theory
– Reinforcement Learning (from Nov. 2025)
- Self-Improving AI Agents of Stanford CS329A
Poster track “Video-Oculography Data-based Mild Cognitive Impairment Detection”
Hyunsu Choi1, Shinsung Kang2, Sun-young Oh3, Gwangsu Kim4
- Aug. 2026
Bronze prize (not 3rd) | Undergraduate students’ paper part
– “An Approach to build MCP-based Personal Voice Assistant on PC”
Hyunsu Choi†, Inwoo Lee†, Seungi Lee†, Taehun Lee† and Suntae Kim.
Proceedings of KIIT Conference, 20(1), pp. 758-762, 2025 (†Equal contribution)
(Pg -> Just with theory studies)
🎶 Interested in 64Audio
Reasoning Collapse in Multi-agent Systems Research
Role: Undergraduate Researcher | Statistical Learning for AI Lab
– RL-based/LLM model lightweighting, etc. for multi-agent system’s enhancement
– Methods development about Core algorithm and agent system tuning
For the target topic (reasoning collapse enhancement)
– Targeting ICML 2027
Jun. 2026 – Ongoing
Video-Oculography Data-based MCI Detection, in Cooperation with JBNUH
Role: Undergraduate Researcher | Statistical Learning for AI Lab
– Deep Learning system construction
– i) Data and Signal Preprocessing & ii) Inspection
i) From time series domain to Image domain and ii) on oculography signals
– Small size and High dimension dataset problems’ solution
Mar. 2026 – Ongoing
Reproducibility Problems of Medical AI’s Overall Solutions
Role: Undergraduate Researcher | Statistical Learning for AI Lab
– Utilization of Breast Cancer datasets for diagnosis
(main: Breast Cancer (my part), Diabetes, Covid-19)
– Reproducibility problems’ solution through deep learning’s transfer learning and optimization
– Targeting Npj Digital Medicine 2026
Mar. 2026 – Ongoing
Sim-To-Real Survey about Software Defined Factory Operational Control System Development
Role: Undergraduate Research Assistant | Software System Engineering Lab
– Performing overall survey research
About the Physical AI Operational Control System’s Sim-To-Real problems. In manufacturing,
logistics and food technologies.
– Delivered a seminar series
On Sim-to-Real solutions, domain randomization, robotics RL (PPO of IsaacLab) and foundation
models (vision, robotics). It was done through the academic research seminar class at Jeonbuk
National University Graduate School.
Jul. 2025 – Dec. 2025
- Autogen
- ADK and A2A
- NestJS, ExpressJS
- Software QA
- Seminar Presentation
- MobileApp Programming (Not well-skilled)
- Writing UML
- Pytorch
- Django, Flask, Springboot (In the past)
50th Batch course of Wecode CodingBootcamp
Role: Backend engineer, Engineering Manager, PM (at the last project)
– Sessions along with software development team project
(js and ts with database (mysql) development and AWS RDS)
– System development of sprints at wework tower.
Sep. 2023 – Dec.2023
Internship at Department of Software Development at Campingtalk Corp.
– Assistance for QA, in cooperation with software engineers at Campingtalk
Apr. 2021 – Feb. 2022
Mandatory Military Service, Republic of Korea Army | Honorable Discharge
– Command and control center’s situation report clerk
– Officially assigned as a Mine Soldier at 8861 force
Feb. 2022 – Aug. 2023
⭐ “Do not lower your expectations; instead, raise your level of action.” 🚀