Biography and expertise
Dr. Lee received his Ph.D. in Math, from Penn State University in 2004, did a postdoc at UCLA until 2007. He then took a tenure-track faculty job at Math Department at Rutgers, the State University of New Jersey, Piscataway. He worked at Rutgers, until 2013. He joined Texas State University, Mathematics in the fall of 2013. He is currently a Professor at Mathematics.
Education
Doctorate Degree
PhD in Mathematics
Penn State University Park, 2004
Bachelor's Degree
BS in Mathematics
Chung-Ang University, 1998
Teaching Interests
Research Interests
Featured grants
- Lee, Young Ju. Coupled Flow and Transport Modeling and Simulation of Complex Fluids and Extreme Weather Patterns by Harnessing Data, NSF, Federal, $350017. (Funded: June 1, 2022 - May 31, 2026). Grant.
- Kim, Namwon (Principal), Percent Contribution: %80, Lee, Young Ju (Co-Principal), Percent Contribution: %20. Computational and Experimental Investigations of Wormlike Micellar Fluids for Enhanced Oil Recovery, Private / Foundation / Corporate, $110000. (Funded: December 1, 2016 - August 31, 2021). Grant.
- Lee, Chul-Ho (Principal), Lee, Young Ju (Co-Principal). Scalable and Efficient Fair Graph Clustering, Texas State Center for Analytics and Data Science (TXST CADS), Texas State University, $6000. (Submitted: December 2023, Funded: January 2024 - December 2024). Grant.
- Lee, Young Ju. REP: Modeling and Simulation of Extreme Micro-Weather Patterns in Vapor-to-Particle Reaction, Convection and Diffusion Systems, Texas State University, Texas State University, $8000. (Funded: January 2022 - December 2022). Grant.
- Lee, Young Ju. A development of enriched immersed finite element method for computing multiphase flows in porous media, National Research Foundation of Korea, Institutional (Higher Ed), $120000. (Funded: July 2020 - June 2021). Grant.
Featured scholarly/creative works
- Vuong, M. P., Lee, J., Lee, Y. J., & Lee, C.-H. (2026). Riemannian Optimization for Fair Spectral Clustering. In Proceedings of the 43rd International Conference on Machine Learning (ICML) (pp. 1–12). PMLR.
- Lee, Y. J., & Park, J. (2024). On the linear convergence of additive schwarz methods for the p-Laplacian. IMA Journal of Numerical Analysis, 0.
- Choi, Y., Jo, G., Kwak, D., & Lee, Y. J. (2022). Locally conservative discontinuous bubble scheme for Darcy flow and its application to Hele-Shaw equation based on structured grid. Numerical Algorithms, 1–26.
- Jaracz, J. S., & Lee, Y. J. (2022). Existence and Stability of Global Solutions to a regularized Oldroyd-B Model in its Vorticity Formulation. Journal of Differential Equations, 327, 259–321.
- Jo, G., Lee, Y. J., & Ojeda-Ruiz, I. (2022). 2D and 3D image reconstruction from slice data based on a constrained bilateral smoothing and dynamic mode decomposition. Applied Mathematics and Computation.
Featured awards
- Award / Honor Recipient: Shapiro Visiting Professorship in Penn State., Pennsylvania State University. March 2022 - May 2022
- Award / Honor Recipient: Brain Pool Program : National Research Foundation of Korea, National Research Foundation of Korea. July 1, 2020 - June 30, 2021
- Award / Honor Recipient: Teaching Award of Honor, Texas State Alumni Association. May 2020
- Award / Honor Recipient: Teaching and Learning Technology Innovation Grant Opportunity for Full-Time Faculty, Texas State University. June 1, 2016 - May 30, 2017
- Award / Honor Recipient: 2025 ExpandAI Catalyst Award (CADS Seed Funding), TXST Center for Analytics and Data Science. January 2025 - January 2026
Featured service activities
- Editorial Review Board Member
Kangwon-Kyunggi Mathematical Society
- Editorial Review Board Member
Journal of Information and Communication Convergence Engineering
- Reviewer / Referee
National Science Foundation
- Co-Chair
Machine Learning Seminar
- Member
Texas State University
- Reviewer / Referee
Mathematical Reviews/MathSciNet