CV
Curriculum vitae of Kangmin Kim — also available as a downloadable PDF.
General Information
| Full Name | Kangmin Kim (김강민) |
| Location | Daejeon, Republic of Korea |
| moonlightkim@kaist.ac.kr | |
| Languages | Korean (Native), English (Highly Proficient — TOEFL 112/120, TOEIC 940/990) |
Profile
- I am a third-year undergraduate student in Computer Science and Mathematical Sciences at KAIST. I expect to complete my B.S. in 2030 (including mandatory military service) and plan to pursue a Ph.D. in machine learning theory. My research interests include ML/AI mathematical theory, optimization, sparse recovery, explainable AI, and statistics.
Education
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2025 - Present Daejeon, KR
B.Sc. in Computing Sciences (Double Major in Mathematical Sciences)
Korea Advanced Institute of Science and Technology (KAIST) - Total GPA: 4.13/4.3
- Tuition and stipend fully covered by the National Science and Engineering Excellence Scholarship.
- Military service planned around 2028 (may be later).
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Jun - Aug 2025 Berkeley, CA
Exchange Student Program
University of California, Berkeley - Summer visiting student; coursework in Computer Security (CS161) and Internet Architecture (CS168).
- Tuition and stipend fully covered by the KAIST Presidential Fellowship.
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2022 - 2025 Busan, KR
High School
Korean Science Academy (KSA) - Science High School for Gifted Students.
Experience
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Dec 2025 - Mar 2026 Daejeon, KR
Individual Study: Dictionary Recovery via Autoencoders based on Sparsity
Undergraduate Student @ KAIST - Advised by Prof. Wooseok Ha (Dept. of Mathematical Sciences, KAIST).
- Theoretical analysis on autoencoders, LoRA, and sparse coding (paper reading).
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Jan 2026 Pohang, KR
Workshop on Algorithm for Students 2026 — Seminar Participant
POSTECH
Teaching Experience
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2026 Fall - CS322 Introduction to Automata Theory — Teaching Assistant, KAIST
- MAS201 Introduction to Ordinary Differential Equations — Help Desk, KAIST
Selected Academic Projects
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Spring 2026 Multi-Agent Reinforcement Learning on a Mario Kart Environment
CS377 Intro to Reinforcement Learning (Instructor — Sungjin Ahn) - Collaborators - Dongha Gwak, Seojin Yun (School of Computing, KAIST).
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Fall 2025 Investigating Attack and Defense Strategies on Linear Classification Using Adversarial Training
MAS473 Learning Theory (Instructor — Wooseok Ha) - Collaborator - Jaemin Lim (School of Computing, KAIST).
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Summer 2025 Developing a File Transfer Protocol and Securing It via Cryptography
CS161 Computer Security, UC Berkeley (Instructor — Jonah Bedouch) - Collaborator - Jaemin Lim (School of Computing, KAIST).
Honors and Awards
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2026 Fall - Honors Program, KAIST
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2025 Fall - Dean's List, The School of Freshman, KAIST
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2025 - Gold Prize, National University Mathematics Competition (Korean Mathematical Society)
- The National Scholarship for Science and Engineering (Korea Student Aid Foundation)
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2025 - 2030 - KAIST Presidential Fellowship
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2022 - 2023 - Hanseong Scholarship for Gifted Students (Hanseong Sonajehan Scholarship Foundation)
Relevant Coursework
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Mathematics
- Calculus, Linear Algebra, Differential Equations, Topology
- Learning Theory, Mathematical Statistics, Advanced Statistics, Numerical Analysis
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Computer Science
- Data Structures, Intro to Algorithms, Computer Architecture, System Programming
- Programming Languages, Functional Programming, Formal Language and Automata, Intro to Databases
- Intro to Machine Learning, Intro to Reinforcement Learning, Computer Security, Networks
Skills
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Programming
- Familiar: Python (PyTorch, NumPy), git
- Novice: C, C++, Java, SQL (Postgres), HTML/CSS
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Tools
- Familiar: LaTeX (Overleaf/VSCode), Microsoft Office
- Novice: manim
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Languages
- Korean (Native), English (Highly Proficient — TOEFL 112/120, TOEIC 940/990)
Extracurricular Activities
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2026 Fall President
KAIST Vlab (AI Club) -
2026 Spring Vice President
KAIST Vlab (AI Club) -
2026 ML (Math Letter) Editor
KAIST Msquare (Mathematics Club) -
2026 Automata Research Group
GRASP (Graph Research)