Mental Health
Large Language Model
Natural Language Processing
Graph Neural Network
Education
Sungkyunkwan University, Republic of Korea (Mar 2021 – Present)
Ph.D Candidate in Applied Artificial Intelligence
Advisor: Prof. Jinyoung Han
Sungshin Women's University, Republic of Korea (Mar 2016 – Feb 2021)
Bachelor of Science in Statistics
Bachelor of Science in Computer Software
Professional Experience
University of Indiana, Bloomington, IN, USA (Sep 2024 - Mar 2025)
Visiting Scholar in Luddy School of Informatics, Computing, and Engineering
Advisor: Prof. Haewoon Kwak, Prof Jisun An
Publication
(* = (co-)corresponding author, ** = equal contributions)
[ Ongoing Research ]
SCENE: A Scenario Completion Benchmark for Measuring Social Bias in Large Language Models - Kang, M.**, Jung, A.**, Jang, E.**, Kim, M., Sundar, S. S., Hong, S., Choi, Y., & Han, J. (In Preparation)
Same Symptoms, Different Diagnosis?: Investigating Gendered Cue Effects on LLMs in Depression Severity Assessment - Kang, M.**, Yang, S.**, Kim, M., Kwak, H., An, J., & Han, J. (In Preparation)
[ Conference & Journals ]
MentalBench: A Benchmark for Evaluating Psychiatric Diagnostic Capability of Large Language Models - Song, H.**, Kang, M.**, Shin, J., Kim, J., Park, C., Yoo, H., An, J., Oh, A., Han, J., & Lim, K. arXiv preprint arXiv:2602.12871, Under Review (ACL ARR January 2026)
Using LLM for Conversational Assessment of Mental Health: Testing the Role of Message Contingency and User Agency., Kim, D.**, Ju, S.**, Lee, H., Kang, M., … & Han, J*. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI Poster 2026- accepted)
SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification - Kang, M., Kim, J., Jeon, H., Hwang, S., … & Han, J*. In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026 - accepted)
Somatic in the East, Psychological in the West?: Investigating Clinically-Grounded Cross-Cultural Depression Symptom Expression in LLMs - Sakai, S., An, J., Kang, M., & Kwak, H. arXiv preprint arXiv:2508.03247, (arXiv, 2025)
A Meta-Frontier Analysis of the Impact of CEO Education on the Performance of Software Startups - Lee, C.**, Kang, M.**, & Lee, D. 한국혁신학회지, Vol. 20, No. 4, pp. 275-289, (한국혁신학회지 2025)
Show your Mind: Unveiling User Experience on an AI-based Mental Health Assessment System with Symptom-based Evidences - Won, H.**, Kang, M.**, Kim, M., Lee, D., Choi, H., Kim, Y., … & Han, J*. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA 2025)
CURE: Context- and Uncertainty Aware Mental Disorder Detection - Kang, M., Choi, G., Jeon, H., An, J., Choi, D.*, Han, J.* Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)
Poster: ISOML: Inter-Service Online Meta-Learning for Newly Emerging Network Traffic Prediction - Kang, M.**, Jung, J.**, Cho, M., Choi, D., Park, E., Pack, S., Han, J*. The 22nd ACM International Conference on Mobile Systems, Applications, and Services (ACM Mobisys 2024)
Network Data Generation using IP2Vec Embedding - Kim, M., Kang, M., Park, E., Pack, S., & Han, J.* IEEE International Conference on ICT Convergence (ICTC 2023)
Detecting depression on video logs using audiovisual features - Min, K., Yoon, J., Kang, M., Lee, D., Park, E., & Han, J.* Humanities and Social Sciences Communications 10, 788 (SSCI, JCR 2022 IF=3.5) (HSSComms 2023)
Detecting Suicide Risks with a Contextual Graph Neural Network - Lee, D., Kang, M., Kim, M., & Han, J.* The 8th Workshop on Computational Linguistics & Clinical Psychology (CLPsych 2022)
[ Domestic Conference ]
Cognitive Distortion Detection Based on Cognitive Structure Signatures - Kim, M., Kang, M., Sundar, S. S., & Han, J. The Korean Institute of Communications and Information Sciences (KICS 2025)
Debiasing Gender Bias in Large Language Models for Depression Detection - Yang, S., Kang, M., Sundar, S. S., & Han, J. The Korean Institute of Communications and Information Sciences (KICS 2025)
A Study on an LLM-Based Conversational Chatbot for PHQ-9-Based Depression Self-Assessment - Ju, S., Kang, M., Kim, D., Sundar, S. S., & Han, J. The Korean Institute of Communications and Information Sciences (KICS 2025)
A Comparative Analysis of Reinforcement Learning Algorithms for Human Preference Alignment in Large Language Models - Kang, M., Cho, M., Ju, S., Yang, S., Kang, C., Won, H., Jeong, S., Choi, G., Han, J*. Korea Computer Congress (KCC 2025)
Hey GPT, Can You Tell What's Stressing Me Out? Comparing LLM's Ability to Detect Stress with Traditional ML Models - Choi, G.**, Kang, M., Han, J.*, and S. Shyam Sundar. The Korean Artificial Intelligence Association Fall Conference (KAIA 2024)
Performance Analysis on Generative Adversarial Models based on Network Data - Kim, M.**, Kang, M., Park, E., Pack, S., & Han, J.* The 33rd Joint Conference on Communications and Information (JCCI 2023)
Toward Natural and Intelligible Speech Synthesis: An Empirical Study on Transfer Learning." Kang, C.**, Yoon, J., Lee, D., Kang, M., Lim, S., Jung, J., Son, Sejung, Han, J.* The Korean Institute of Broadcast and Media Engineers Conference Proceedings Jul. (KIBME, 2023)
Developing Depression Detection Model using Social Media Video Data - Min, K.**, Kang, M., Yoon, J., Lee, D., & Han, J.* The 32nd Joint Conference on Communications and Information (JCCI 2022)
Research Project
[Apr 2025 - Dec 2026] Development and Commercialization of Multimodal Artificial Intelligence (AI) Digital Medical Devices for Diagnosis and Interventional Treatment of Depression and Anxiety Disorders
Ministry of Trade, Industry and Energy (MOTIE)
[Jul 2024 - Dec 2026] Pioneer Research Group for Socially Responsible Artificial Intelligence
Ministry of Trade, Industry and Energy (MOTIE)
[Apr 2024 - Dec 2026] Development of Reliable, Secure, and Safe Human-Al Alignment Techniques
Ministry of Science and ICT (MSIT)
[Jun 2021 - Feb 2024] Study on Self-Driving B5G Networks towards Federated Private-5G
National Research Foundation of Korea, funded by the National Research Foundation of Korea (NRF)
[Jun 2021 - Aug 2021] Developing Artificial Intelligence Application Models and Constructing a Dataset for Solving Social Issues
Electronics and Telecommunications Research Institute (ETRI)
Patent & Software
[ Patent ]
Apparatus of Detecting Mental Disorder and Method Thereof (정신 질환 탐지 장치 및 방법)
Han, J., Kang, M., An, J.
Application No. : 10-2023-0180440
Filing Date: 2025. 05. 27.
Apparatus for Generating Traffic Data and Method Thereof (트래픽 데이터 생성 장치 및 그 방법)
Han, J., Kang, M., Kim, M., Park, E.
Application No. : 10-2023-0180440
Filing Date: 2023. 12. 13.
PHQ-9 문진 대화를 위한 목적 지향 대화 에이전트 시스템
Ju, S., Kang, M., Han, J.
Registration No.: C-2025-049090
Registration Date: 2025. 11. 12.
Yang, S., Kang, M., Han, J.
Registration No.: C-2025-047842
Registration Date: 2025. 11. 07.
Kang, M., Han, J.
Registration No.: C-2024-050320
Registration Date: 2024. 12. 05.
Kang, M., Han, J., Kim, M., Park, E.
Registration No.: C-2023-037947
Registration Date: 2022. 02. 08.
Teaching Fellow
[ Teaching Assistance ]
Sungkyunkwan University, Seoul, Republic of Korea
DIM5004: Interactive Graph Mining, Graduate Course (Spring, 2025)
DIM5004: Interactive Graph Mining, Graduate Course (Spring, 2024)
DIM5004: Interactive Graph Mining, Graduate Course (Fall, 2023)
AAI3005: Data Mining, Undergraduate Course (Fall, 2023)
DAI5019: Graph Mining, Graduate Course (Spring, 2023)
DAI5019: Graph Mining, Graduate Course (Fall, 2022)
Generative AI Technology Trends Lecture (Jul, 2024)
Undergraduate Research Program (URP), Tutor
Development of Counseling Models and Interactive Web Platform (Fall, 2024)
Symptom Identification using Large Language Models (Spring, 2024)
Symptom Identification for Detecting Mental Disorders (Winter, 2024)
Network Traffic Prediction with Low-Resource Network (Fall, 2023)
AI Utilizing Analysis Infrastructure: Middle/High School Online Real-Time Course, Instructor (Fall, 2023)
Data Creator Camp (DCC), Mentor, K-ICT Big Data Center (Fall, 2023)
Data Creator Camp (DCC), Mentor, K-ICT Big Data Center (Fall, 2022)
Professional Service
[May 2025] Program Committee Member, 2025 Bias-A-Thon: Bias Discovery Challenge, Dacon
Supported problem formulation and reviewed submitted solutions for bias detection models
Honors & Awards
[Jun 2024] ACM MobiSys 2024 Student Travel Award ($1000)
The 22nd ACM International Conference on Mobile Systems, Applications, and Services
[Aug 2025] 2nd Prize, Best Student Researcher Award, Sungkyunkwan University
Department of Artificial Intelligence, College of Global Convergence, Sungkyunkwan University