I am currently an Assistant Professor in the Department of Mathematics and Statistics at the University at Albany, State University of New York.

My research interests lie at the interface of scientific machine learning, statistical modeling, and scientific computing, with applications spanning mathematical biology, biomedical and geophysical imaging, and fluid dynamics.

Education / Prior Employments:

Postdoctoral researcher, Department of Mathematics, Dartmouth College, Hanover, NH, USA (2020.9-2024.7) 

Postdoctoral researcher, Department of Mathematics, University of Toronto, Toronto, ON, Canada (2019.8-2020.8) 

Senior data scientist, Samsung Fire & Marine Insurance,  Seoul, South Korea (2017.7-2019.8)

PhD in Mathematics, Courant Institute, New York University, New York, NY, USA (2011.9-2017.8)  - Advisor: Charles Peskin

MS in Mathematics, KAIST, Daejeon, South Korea (2010.9-2011.8)

BS in Mathematics, KAIST, Daejeon, South Korea (2004.3-2010.8, military leave 2007.7-2009.6) - summa cum laude 

Publications [Google scholar]: 

• Jihun Han, Jooyoung Hahn:

       A stochastic vanishing viscosity approach for Eikonal equations

       Submitted.

• Euichul Shin, Jihun Han, Ian Y. Wong, Bomi Gweon:

Profiling extracellular matrix-driven heterogeneity of single cell migration and morphology 

Submitted.

• Halyun Jeong, Jihun Han:

Robust Fourier neural networks

Submitted, available at: arXiv:2409.02052 

• Jihun Han, Yoonsang Lee:

A stochastic approach for elliptic problems in perforated domains

Journal of Computational Physics, 519, 113426, 2024 [more]

• Jihun Han, Yoonsang Lee, Anne Gelb:

Learning in-between imagery dynamics via physical latent spaces

SIAM Journal on Scientific Computing, 46 (5), C608-C632, 2024 [movies]

• Jihun Han, Yoonsang Lee:

An analysis of the derivative-free loss method for solving PDEs

Submitted, available at: arXiv:2309.16829

• Bosu Choi, Jihun Han, Yoonsang Lee: 

Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data

Submitted, available at: arXiv:2307.10448 

• Jihun Han, Yoonsang Lee:

A neural network approach for homogenization of multiscale problems

SIAM Multiscale Modeling and Simulation, 21:2, 716-734, 2023

• Jihun Han, Yoonsang Lee:

Hierarchical learning to solve partial differential equations using physics-informed neural networks

 Lecture Notes in Computer Science, 10475, 548-562, Springer Nature Switzerland ,  The International Conference on Computational Science (ICCS 2023)

• Jihun Han, Yoonsang Lee:

Inhomogeneous regularization with limited and indirect data

Journal of Computational and Applied Mathematics, 428, 115193, 2023 , appeared in special issue 'Computational Methods and Models in Deep Learning for Inverse Problems' 

• Jihun Han, Mihai Nica, Adam R Stinchcombe 

A derivative-free method for solving elliptic partial differential equations with deep neural networks

 Journal of Computational Physics, 419 (15), 109672, 2020

• Jihun Han, Charles S. Peskin:

Spontaneous oscillation and fluid-structure interaction of cilia

 Proceedings of the National Academy of Sciences (PNAS), 115 (17) 4417-4422, 2018 [movies]

• Jihun Han, Hyungbin Park:

The intrinsic bounds on the risk premium of Markovian pricing kernels

Finance Research Letters 13, 36-44,2015