Jaeho Hwang
Ph.D. in Mathematics (PDEs) | Researcher in AI & Applied Mathematics
Seoul, South Korea
I am an AI and Applied Mathematics researcher. I received my Ph.D. in Mathematics with a specialization in Partial Differential Equations (PDEs).
Building upon a rigorous foundation in mathematical analysis and differential equations, my current research primarily focuses on Artificial Intelligence and Machine Learning, alongside continued theoretical investigations in PDEs. I am particularly interested in bridging first-principles mathematical theory with modern deep learning methodologies.
🤖 Artificial Intelligence
Current Primary Focus: Deep learning architectures, test-time adaptation, physics-informed machine learning (SciML), and data integration methods grounded in geometric and mathematical principles.
📐 Partial Differential Equations
Mathematical Foundation: Theoretical and numerical analysis of PDEs, boundary value problems, and dynamical systems, with extensive publication records in applied mathematics.
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selected publications
- PDEA dichotomy for the global existence of solutions to reaction-diffusion equations and systems with time-dependent sources on bounded domainsJournal of Mathematical Analysis and Applications, 2026
- PDEBlow-up phenomena for solutions to reaction-diffusion systems on networksDifferential and Integral Equations, 2026
- PDECriteria for Blow-Up Phenomena for Solutions to Nonlinear Reaction–Diffusion Equations on ConesMathematical Methods in the Applied Sciences, 2025