Sanghyun Lee, Ph.D

● Fall 2023 - Associate Professor, Department of Mathematics, FSU
● 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 319
  EM: lee(@)math.fsu.edu



Funded Projects

NSF:: DMS-2208402 *Supplemental
Dear Colleague Letter: Non-Academic Research Internships for Graduate Students in Geothermal Energy Supplemental Funding Opportunity (Geothermal INTERN), 06/2024-05/2025

DOE article read here DOE::Science Foundations for the Energy Earthshots Link
DE-SC0024703 Advanced Multi-Physics Machine Learning for Subsurface Energy Systems Across Scales
PI: The Univeristy of Texas at El Paso, (Co-PIs) Florida State University, Sandia Nationanl Lab, University of Utah
10/2023-9/2026

NSF:: DMS-2208402 *Supplemental
Dear Colleague Letter: Non-Academic Research Internships for Graduate Students in Geothermal Energy Supplemental Funding Opportunity (Geothermal INTERN), 06/2023-05/2024

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
5/7/2018-8/3/2018


News and Upcoming Events

2024

● [12-16th Feburary 2024] ICERM Numerical Analysis of Multiphysics Problems, Brown University, Providence (link)

● [21st March 2024] Affiliates Meeting, The Center for Subsurface Modeling, The University of Texas at Austin, Austin, TX

● [23-24th March 2024] AMS Spring Southeastern Sectional Meeting, Florida State University, Tallahassee, FL (link)
News link

● [5-7th April 2024] Southeast Applied and Computational Math Student Workshop, Georgia Institute of Technology, Atlanta, GA (link)

● [20-21st April 2024] The Eleventh Graduate Student Conference, Clemson

● [12th April 2024] Machine Learning Seminar, Department of Mathematics, Florida State University

● [May 2024] Visiting Leibniz University Hannover, Germany

● [May 14th 2024] Seminar, Dortmund, Germmany

● [May 15th 2024] Seminar, Institut fur Baumechanik und Numerische Mechanik (IBNM), Leibniz University Hannover, Germany

● [May 16th 2024] Seminar, Institute of Applied Mathematics, Leibniz University Hannover, Germany

● [8-12 July 2024] SIAM Annual Meeting, Spokane, Washington (link)

● [15-16 July 2024] NSF PI meeting, Seattle, Washington

● [21-26 July 2024] 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, Vancouver, British Columbia, Canada (link)

● [11-16 August 2024] 11th deal.II Workshop, Colorado State University, Fort Collins, Colorado (link)

● [19th Sep 2024] Yonsei University, Seoul, South Korea

● [26-27 Sep 2024] Kyungpook National University, Daegu, South Korea

● [11-13 Oct 2024] SIAM Conference Texas-Louisiana Section 7th Annual Meeting, Baylor University, link

● [21-25 Oct 2024] SIAM Conference on Mathematics of Data Science (MDS24), Atlanta, U.S link

● [14 Nov - 3 Dec 2024] Technical University of Dortmund, Germany

Research Team

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



Finite Element Packages

● deal.II
● FEniCS
● HAZmath