Department of Mathematics

Jaemin Park 박재민

Assistant Professor
Sookmyung Women's University

Dynamics, topology, and AI.

I am an Assistant Professor in the Department of Mathematics at Sookmyung Women's University. My research connects dynamics, probability, and topology with artificial intelligence (AI) and topological data analysis (TDA). Current interests include Diophantine approximation, random topology, AI on graphs, and mathematical methods for semiconductor design.

Google ScholarORCIDGitHub
jaemin.park@sookmyung.ac.kr jaemin.park417@gmail.com
Jaemin Park

01 / News

Recent news

  • Talk

    Gave a colloquium at Konkuk University, Department of Mathematics Education: “Research and Learning in the AI Era: A Mathematician’s Experience”

  • Talk

    Gave an invited lecture at Hongik University, College of Education: “Research and Learning in the AI Era: A Mathematician’s Experience” Announcement ↗

  • Talk

    Hanyang University, Department of Mathematics — Mathematics Colloquium: “What Can Mathematicians Do in Semiconductors and AI?” Announcement ↗

  • Funding

    Awarded an NRF Basic Research B grant for finite-step kernel-based structural encodings for circuit graph neural networks (Sep 2026-Aug 2027)

  • Talk

    Sookmyung Women’s University, Department of Mathematics — Summer School: Geometry and Applications: “AI That Learns, Creates, and Acts: Five Mathematical Ideas That Changed AI”

Earlier news (10)
  • Talk

    Chonnam National University — Workshop on Pure and Applied Mathematics: “Hausdorff Dimension of Singular Vectors: From Weights to Fractals”

  • Talk

    KIAS–KWMS — Summer School 1: “Singular vectors in simultaneous Diophantine approximation: results and methods”

  • Talk

    Seoul National University, Computer-Aided Design Laboratory — 3rd Korea EDA Workshop: “The Spectrum of a Circuit: Rethinking EDA through the Graph Laplacian”

  • Publication

    Circular Coordinates for Density-Robust Analysis published in Foundations of Data Science, Vol. 9, pp. 137–163 (June 2026) DOI ↗

  • Talk

    Chung-Ang University, Department of Mathematics — Mathematics Seminar: “From Equations to Massive Circuit Networks: Next-Gen Semiconductor Design (EDA) Innovation Led by Graph Theory and AI”

  • Talk

    Pusan National University — Geometry & Topology Seminar: “Equivalence of Boundary Measures on Metric Graphs and Extensions to Hyperbolic Buildings”

  • Publication

    BADGE published in the DATE 2026 proceedings DOI ↗

  • Talk

    Sookmyung Women’s University, Department of Statistics — Spring Invited Lecture Series: “From Equations to Massive Circuit Networks: Next-Gen Semiconductor Design (EDA) Innovation Led by Graph Theory and AI”

  • Appointment

    Joined Sookmyung Women's University as Assistant Professor of Mathematics

  • Publication

    BADGE accepted at DATE 2026 (Verona, Italy)

02 / Research

Research
interests

Dynamics & Diophantine Approximation

Dimension and exceptional sets — Hausdorff dimension of weighted singular vectors and matrices, Diophantine approximation on fractal sets, and connections with homogeneous dynamics.

Probability, Topology & TDA

Random walks, boundaries, and shape — Entropy and boundary measures on graphs and trees; topology of random samples; topological data analysis (TDA), including persistent cohomology and density-robust geometric methods.

AI on Graphs & Applications

Graph structure for AI — Spectral and probabilistic representations, graph neural networks and graph transformers, with applications to electronic design automation (EDA) and circuit modeling.

Mathematics for Semiconductor Design

From graph structure to physical design — Graph-based and generative AI methods for placement, inverse lithography, and circuit modeling, with a current interest in structure-preserving simulation.

03 / Papers

Publications &
preprints

View Google Scholar ↗

Published

  1. 2026

    BADGE: Boundary-Aware Dirichlet Graph Embedding for Initialization in DREAMPlace

    Park J., Paik T.

    DATE 2026 (Design, Automation and Test in Europe), Verona, Italy, pp. 1–3

    DOI
  2. 2026

    Circular Coordinates for Density-Robust Analysis

    Paik T., Park J.

    Foundations of Data Science, Vol. 9, pp. 137–163 (June 2026)

    DOIarXiv
  3. 2025

    PCBFormer: Understanding 3D Structure of Real-World PCB Traces for S-Parameter Prediction

    Paik T., Park J., Kim T., Jung D.H., Kim D.

    ICCAD 2025, pp. 1–8

    DOI
  4. 2025

    From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers

    Lee Y.H., Park J., Paik T., Kim D., Hwang B.

    ICML 2025, Proceedings of Machine Learning Research, Vol. 267, pp. 33688–33714

    Paper
  5. 2024

    On a Lower Bound of Hausdorff Dimension of Weighted Singular Vectors

    Kim T., Park J.

    Mathematika, Vol. 70, No. 3, Article e12252

    DOIarXiv
  6. 2024

    TraceFormer: S-parameter Prediction Framework for PCB Traces based on Graph Transformer

    Kim D., Park J., Oh Y., Hwang B.

    DAC 2024, Article 237, pp. 1–6

    DOI
  7. 2022

    Triple Network Activation Causes Tinnitus in Patients with Sudden Sensorineural Hearing Loss: A Model-Based Volume-Entropy Analysis

    Lee S.J., Park J., Lee S.-Y., Koo J.-W., Vanneste S., De Ridder D., Lim S., Song J.-J.

    Frontiers in Neuroscience, Vol. 16, Article 1028776

    DOI
  8. 2022

    Network Analysis of Cardiac Remodeling by Primary Mitral Regurgitation Emphasizes the Role of Diastolic Function

    Choi Y., Park J., Hwang D., Kook W., Kim Y.-J., Tanaka H., Hozumi T., Yuasa T., Ling L.H., Yu C.-M., Park S.W., Ha J.-W., Otsuji Y., Song J.-K., Sohn D.-W., Lim S.-H., Lee S.-P.

    JACC: Cardiovascular Imaging, Vol. 15, No. 6, pp. 974–986

    DOI
  9. 2021

    The Balance between Bayesian Inference and Default Mode Determines the Generation of Tinnitus from Decreased Auditory Input: A Volume Entropy-Based Study

    Song J.-J., Park J., Koo J.-W., Lee S.-Y., Vanneste S., De Ridder D., Hong S., Lim S.

    Human Brain Mapping, Vol. 42, No. 12, pp. 4059–4073

    DOI

Preprints

  1. 2026

    Weighted singular vectors in common-base self-similar sets

    Kim T., Park J.

    Submitted arXiv
  2. 2026

    Exact First-Passage Structural Encodings for Graph Transformers

    Park J.

    Submitted
  3. 2026

    Fast Candidate Generation for Global Placement: Synchronized Diffusion Scaling and Low-Operation Flow Matching

    Park J.

    Submitted
  4. 2026

    Per-pixel binary discrete flow matching for inverse lithography with trajectory-attached fine-tuning

    Park J.

    Submitted
  5. 2026

    Homotopy distributions for Vietoris–Rips complexes of random circle samples

    Park J.

    Preprint
  6. 2022

    Atlas Flow: Compatible Local Structures on the Manifold

    Paik T., Park J., Park J.H.

    Preprint arXiv

04 / Profile

Career &
Education

Appointments

  • 2026.03 – present

    Assistant Professor

    Department of Mathematics, Sookmyung Women's University

  • 2024.12 – 2026.02

    Staff Engineer

    AI Center, Samsung Electronics

    Research on AI for semiconductor design and verification.

  • 2023.03 – 2024.11

    Staff Engineer

    Samsung Advanced Institute of Technology (SAIT)

    Research on AI for semiconductor design and verification.

Education

  • 2017 – 2023

    Ph.D. in Mathematics

    Seoul National University

    Advisor: Lim Seonhee

    Dissertation: Dynamical Invariants and Measures on Metric Graphs and Applications in Medical Science

  • 2011 – 2017

    B.S. in Mathematics

    Chung-Ang University

Scopus ↗

05 / Talks

Talks &
lectures

  • AI 시대의 연구와 배움: 한 수학자의 경험

    Konkuk University, Department of Mathematics Education — 2026 제3차 미래교사 콜로키움

  • AI 시대의 연구와 배움: 한 수학자의 경험

    Hongik University, College of Education — 인공지능과 교육 환경 변화와 대응 특강

  • What Can Mathematicians Do in Semiconductors and AI?

    Hanyang University, Department of Mathematics — Mathematics Lecture

Earlier talks (10)

  • 배우고, 만들고, 행동하는 AI - 인공지능을 바꾼 다섯 가지 수학적 아이디어

    Sookmyung Women's University, Department of Mathematics — 2026 Summer School: Geometry and Applications

  • Hausdorff Dimension of Singular Vectors: From Weights to Fractals

    2026 Workshop on Pure and Applied Mathematics

  • Singular vectors in simultaneous Diophantine approximation: results and methods

    2026 KIAS–KWMS Summer School 1: Diophantine approximation and the Heisenberg group

  • The Spectrum of a Circuit: Rethinking EDA through the Graph Laplacian

    3rd Korea EDA Workshop

  • From Equations to Massive Circuit Networks: Next-Gen Semiconductor Design (EDA) Innovation Led by Graph Theory and AI

    Chung-Ang University, Dept. of Mathematics — Seminar

  • Equivalence of boundary measures on metric graphs and extensions to hyperbolic buildings

    Pusan National University — Geometry & Topology Seminar

  • From Equations to Massive Circuit Networks: Next-Gen Semiconductor Design (EDA) Innovation Led by Graph Theory and AI

    Sookmyung Women's University, Dept. of Statistics — 2026-1학기 초청강연회 (Series, Lecture 1 of 4)

  • Topological Deep Learning: from graph learning to relational learning

    Sookmyung Women's University, Dept. of Mathematics — Winter Seminar (2025학년도 겨울학기)

  • Diagnosis and prediction of cardiovascular disease: via topological data analysis

    2021 KMS Spring Meeting — Applied Mathematics (AM) session

  • Topological data analysis to medical science and machine learning

    2020 KMS Spring Meeting — Applied Mathematics (AM) session

06 / Funding

Research
funding

  • 2026.09 – 2027.08

    Mathematical Formulation of Finite-step Kernel-based Structural Encoding for Circuit Graph Neural Networks — with Applications to AI-Based Chip Design

    National Research Foundation of Korea (NRF) · Principal Investigator

07 / Teaching

Teaching

Fall 2026

  • Applied Linear Algebra

    Sookmyung Women's University

  • First Steps in Matrices

    Sookmyung Women's University

Spring 2026

  • Linear Algebra

    Sookmyung Women's University

  • Calculus 2

    Sookmyung Women's University