Sanghyun Lee, Ph.D

● Fall 2017 - Assistant Professor, Department of Mathematics, FSU
  Spring 2018 - Associate of Geophysical Fluid Dynamics Institute (GFDI), FSU : Link

● Florida State University
  Department of Mathematics
  208 Love Building
  1017 Academic Way
  Tallahassee, FL 32306-4510
● Office : LOV 002-D
  Phone: 850-644-1587
  Fax: 850-644-4053
  Skype : sanghyun.lee25
  EM: lee(@)

Funded Projects

NSF:: DMS-2208402
Collaborative Research: Physics-Preserving Adaptive Finite Element Methods for Thermo-Poroelasticity
06/2022-06/2025, link

MDS::#045490 (The Multidisciplinary Support program)
Studies for Degradation of Lignin-based Biodegradable Plastics to Prevent Marine Debris
2020 - 2021

NSF:: DMS-1913016
Fluid-filled Fracture Propagation with a Phase Field Approach in Subsurface by Employing Nonlinear Strain Limiting Models and Enriched Galerkin Methods :: link
08/01/2019 - 7/31/2022

CRC::041950, FYAP (First Year Assistant Professor Award)
Optimal error estimate of flow problems with Dirac sources in subsurface for discontinuous and enriched Galerkin methods

News and Upcoming Events

● [4th Jan 2022] Seminar, Sungkyunkwan University, South Korea

● [25th Feb 2022] Seminar, Texas A\&M University at Corpus Cristi, USA

● [8th - 9th April 2022] Finite Element Circus 2022, (link) ; The University of Florida

● [7th-8th May 2022] ICCMAE 2022: The Second International Conference on Computational Methods and Applications in Engineering, (link) , Mississippi State University, USA

● [19th-20th May 2022] The Korean Society of Mineral and Energy Resources Engineers

● [7th May 2022] Floirda Fluids Symposium (FFS)

Research Interest

● Design, analysis and implementation of numerical methods for partial differential equations.

● Computational mathematics with high performance computing in the area of interdisciplinary multi physics and multi scale real world problems

● Free boundary multiphase problems employing projection methods for Navier Stokes systems and level set methods with adaptive finite element methods. Link

● Analyses and computations of newly developed 'enriched Galerkin' approximation methods for coupling flow and transport for complexed fluid in porous media.

● Big data analytics for extraction of fracture related information in subsurface systems and advanced computational approaches for modeling fracture propagation by using Biot system and phase field to couple flow and geomechanics.

● Employing Machine learning/Deep learning/Neural networks process for solving partail differential equations