📄 Curriculum Vitae

Junghwan Kim (김정환) · Ph.D. Candidate, Human-Centered Computing Lab, Seoul National University

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🔍Research interests

Human-Computer Interaction; LLM-augmented interface design for domain experts; Human-AI collaboration. My work advances the thesis that Interface design, not model capability, is the primary bottleneck for expert use of large language models, grounded in HCI theory (reification, distributed cognition, articulation work, boundary infrastructure).

🎓Education

Seoul National University, Graduate School of Convergence Science & Technology
Ph.D. Candidate (Integrated M.S./Ph.D.), Department of Intelligence and Information
Aug 2022 – Present
Seoul, Korea
  • Human-Centered Computing Lab · Advisor: Prof. Bongwon Suh · Expected graduation: Feb 2027
  • Dissertation (in progress): LLM-Augmented Interface Design for Domain Experts
Seoul National University
B.S. in Information Science & Culture; B.S. in Electrical & Computer Engineering
Mar 2015 – Aug 2022
Seoul, Korea
  • GPA 3.96 / 4.3

📚PublicationsWith abstracts & BibTeX →

† equal contribution / co-first author · 🏆 award-winning paper

First-author

  1. Junghwan Kim, Hyeonseok Jeon, Jung Lee, Dongseok Heo, Bongwon Suh CaseSense: Mapping the Legal Case Landscape with Multi-Dimensional Visual Exploration. Proceedings of the 39th Annual ACM Symposium on User Interface Software and Technology (UIST '26), 2026.
  2. Junghwan Kim†, Kieun Park†, Hyungwoo Song, Bongwon Suh DEBSIM: Productive Friction for Learning Transfer in LLM-Based Argumentation Tutoring. Proceedings of the International Conference on Intelligent Tutoring Systems (ITS 2026), Lecture Notes in Computer Science, Springer, 2026. 🏆 Best Full Paper Award
  3. Junghwan Kim†, Dongseok Heo†, Kyusik Kim, Jung Lee, Bongwon Suh Co-Overcooked: Cognitive Constraints on Partner Modeling in Human-AI Team Composition. Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci 2026), 2026. (Oral presentation) 🏆 Student Travel Award
  4. Junghwan Kim†, Hana Oh†, Bongwon Suh ToneCanvas: Visually Painting Character Tone for Narrative Consistency. Adjunct Proceedings of the 39th Annual ACM Symposium on User Interface Software and Technology (UIST Adjunct '26), 2026.
  5. Junghwan Kim†, Dongseok Heo†, Hee Jeong Hwang, Jeong Yun You, Bongwon Suh Between the Clinic and the Kitchen: A Constraint RAG Chatbot as Boundary Infrastructure for Dialysis Care. Companion Publication of the 2026 ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW Companion '26), 2026.
  6. Junghwan Kim†, Kieun Park†, Jeongwoo Ryu, Hyungwoo Song, Bongwon Suh When Nurses Meet Vibe-Coding: Shifting from Problem Talk to Situated Specification in Participatory Design. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '26), 2026.
  7. Junghwan Kim†, Hyeonseok Jeon†, Dongseok Heo, Jung Lee, Bongwon Suh LegisFlow: Enhancing Korean Legal Research with Temporal-Aware LLM Interfaces. Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST '25), 2025.

Co-author

  1. Hee Jeong Hwang, Junghwan Kim, Dongseok Heo, Jeong Yun You, Jeonghwan Lee, Soie Kwon, Kyung Don Yoo, Jung Han Yoon Park, Bongwon Suh, Jung Pyo Lee, Ki Won Lee Effects of a Personalized Retrieval-Augmented Generation Chatbot on Information Needs in Chronic Kidney Disease Patients: Mixed Methods Randomized Controlled Trial. Interactive Journal of Medical Research, 2026. (in press)
  2. Jeongwoo Ryu, Hyungwoo Song, Junghwan Kim, Kieun Park, Bongwon Suh From Objects to Influences: Rethinking Deletion in Learning-Based Systems. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '26), 2026.
  3. Kieun Park, Hyungwoo Song, Seungbae Seo, Junghwan Kim, Bongwon Suh "Ask Sir Oliver Ingham": LLM-based Social Simulations for History Education. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25), 2025.
  4. Minjeong Shin, Jaehoon Choi, Hyungwoo Song, Junghwan Kim, Bongwon Suh "I feel you, but…": Exploring the Boundaries of Pragmatic Markers in Real-time Voice-based Conversational Agents. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25), 2025.

Preprints

  1. Junghwan Kim, Kieun Park, Sohee Park, Hyunggug Kim, Bongwon Suh MAS-LitEval: Multi-Agent System for Literary Translation Quality Assessment. arXiv preprint arXiv:2506.14199, 2025.
  2. Seungbae Seo, Junghwan Kim, Minjeong Shin, Bongwon Suh LLMDR: LLM-Driven Deadlock Detection and Resolution in Multi-Agent Pathfinding. arXiv preprint arXiv:2503.00717, 2025.

Domestic (HCI Korea)

  1. 김정환, 서봉원 CAT를 넘어 LAT로: LLM 번역 검수를 위한 인터페이스 Co-design. Proceedings of HCI KOREA 2026 (한국HCI학회 학술대회), 41–49, 2026.
  2. 신민정, 최재훈, 김정환, 송형우, 서봉원 LLM 기반 음성 어시스턴트의 한국어 담화 표지 활용을 위한 디자인 가이드라인 연구. 한국HCI학회 학술대회 (Proceedings of HCI KOREA 2025), 431–437, 2025.
  3. 송형우, 서승배, 김정환, 김연준, 신민정, 장교철, 최재훈, 정형구, 외 최근 5년간 장애 학생을 위한 보조 기술의 활용 탐색: 문헌고찰. 한국HCI학회 학술대회 (Proceedings of HCI KOREA 2025), 1343–1349, 2025.
  4. 이상아, 김정환, 송형우, 서봉원 시맨틱 문장 분석을 활용한 뉴스 인터페이스 디자인. 한국HCI학회 학술대회 (Proceedings of HCI KOREA 2024), 91–97, 2024.

🏆Honors & awards

Yulchon AI Young Researcher Scholarship (AI+X)
Nongshim Yulchon Foundation & SNU AI Institute
Sep 2026
International Conference on Intelligent Tutoring Systems (ITS 2026) — DEBSIM
Jun 2026
Cognitive Science Society (CogSci 2026) — Co-Overcooked
Jul 2026
3rd Place, Big-Data Financial Investment Model (FIM) Showcase
SNU College of Engineering & QUANTIT
Aug 2023
Excellence Award, SME Closure Prediction Challenge
NICE D&B
Dec 2022

💼Research & professional experience

XAI Researcher (Contract)
Qraft Technologies
Dec 2021 – Jul 2022
Explainable AI for time-series forecasting (Temporal Fusion Transformer, IMV-LSTM, DARNN, DLinear); macro-data asset allocation; launched the Eugene OCIO Fund with XAI visualization (Tableau, Streamlit).
Lab Intern
Human-Centered Computing Lab, SNU
Jul 2021 – Dec 2021
Shopping-pattern analysis and next-purchase-date modeling with ML/DL.
Research Intern
System Semiconductor for AI (SSAI), SNU
Mar 2021 – Jun 2021
Remote proctoring for non-face-to-face testing; on-device object detection (YOLOv5, MobileNetV2).

🧑‍🏫Teaching

Teaching Assistant
Samsung Electronics DS2 Program (Data Scientist Training)
2022 – 2025
Teaching Assistant
Digital Forensics — Dept. of Mathematical & Information Sciences, SNU
2024 – 2026
Mentor (2024) & Coordinator (2025)
LG AI Youth Camp
2024 – 2025
Teaching Assistant
Social Computing, SNU
2024 – 2026

🛠️Skills & certifications

GenAI & LLMs
Architecting and deploying agentic, multi-agent LLM systems and RAG pipelines at scale; OpenAI, Anthropic and open-source models (Llama, Hugging Face); prompt engineering and systematic LLM evaluation.
Programming
Python (primary), TypeScript, JavaScript, SQL, R.
Full-Stack & Deployment
React, Node.js, REST APIs; Git-based development and CI/CD; Docker; production deployment on AWS / GCP.
Data
Relational (PostgreSQL), non-relational and vector (pgvector), and time-series / streaming data structures.
ML Frameworks & Tools
PyTorch, Hugging Face, Tableau, Streamlit.
Leadership & Communication
Led multi-author research projects from prototype to production; mentor and TA across Samsung DS2, LG AI Youth Camp and SNU courses; experienced guiding non-technical stakeholders in fast-paced settings.
Certifications
SQL Developer (SQLD); Engineer Big Data Analysis (빅데이터분석기사); Big-Data Financial Investment Model Research (FIM), SNU & QUANTIT (2023)