Applied Mathematics
Jaemin Shin
- Office : Building N13(#701)
- Tel : +82-428211374
- E-mail : jaemin.shin@hanbat.ac.kr
- Personal Webpage : Jaemin Shin
Dr. Jaemin Shin is an associate professor in the School of Basic Sciences and the Department of Mathematical Sciences at Hanbat National University. He received his doctorate in Applied Mathematics from Iowa State University. The general area of his research is mathematical modeling, inverse problems, partial differential equations, and computational methods. Currently, he is working on (1) inverse problems of several types, (2) analysis of PDEs in fluid dynamics, and (3) several mathematical models, including shape magnetic forming, benchmarking methodology, and deep learning. His research work also involves developing numerical algorithms and computation methods.
Eudcation
- Ph.D. in Applied Mathematics Iowa State University, Ames, IA, US
- Advisor: Dr. Paul Sacks
- B .S. in Mathematics and Minor in Physics and Business Administration, Yonsei University, Seoul, Korea
Professional Experience
- Assistant / Associate Professor, School of Basic Sciences & Department of Mathematical Sciences, Hanbat National University, Daejeon, Korea, October 2014 – Present
- Postdoctoral Scholar, Institute of Applied Mathematics, Inha University, Incheon, Korea, September 2013 – August 2014
- Research Assistant Professor, Department of Mathematics, Wayne State University, Detroit, MI, US, September 2011 – August 2013
- Visiting Scientist, General Motors Global R&D, September 2011-August 2013
- Postdoctoral Associate, Institute for Mathematics and its Applications (IMA), University of Minnesota, Minneapolis, MN, US, September 2009–August 2011
- Visiting Scholar, Department of Mathematics, Michigan State University, September 2010–August 2011
- Visiting Scientist, General Motors Global R&D, September 2009 – August 2011
- Postdoctoral Trainee, Iowa State University, Ames, IA, US, August 2008 – July 2009
Publications
- (With H. Liu) Necessary conditions for blow-up solutions to the restricted Euler-Poisson equations, Communications in Mathematical Sciences, 20(2), 327-357, 2022.
- M. Xiong, L. Chen, J. Ming, and J. Shin, Accelerating the Bayesian inference of inverse problems by using data-driven compressive sensing method based on proper orthogonal decomposition, Electronic Research Archive, 29(5), 3383-3403, 2021.
- S.-C. Oh and J. Shin, The assessment of car making plants with an integrated Stochastic Frontier Analysis model, Mathematics, 9(11), 1296, 2021.
- S. Lim and J. Shin, Application of a deep neural network to phase retrieval in inverse medium scattering problems, Computation, 9(5), 56, 2021.
- Uniqueness in the magnetic shaping problem without high frequency assumption, Applied Mathematics Letters, 102, 106106, 2020.
- J. Shin and E. Arhin, Determining radially symmetric potential from near-field scattering data, Journal of Applied Mathematics and Computing, 62(1), 511–524, 2020.
- (With H. Kang, K. Kim, H. Lee, and S. Yu) Spectral properties of the Neumann-Poincare operator and uniformity of estimates for the conductivity equation with complex coefficients, Journal of the London Mathematical Society, 93(2), 519-545, 2016.
- Inverse obstacle backscattering problems with phaseless data, European Journal of Applied Mathematics, 27(1), 111-130, 2016.
- S.-C. Oh and J. Shin, The impact of mismeasurement in performance benchmarking: A montecarlo comparison of SFA and DEA with different multi-period budgeting strategies, European Journal of Operational Research, 240(2), 518-527, 2015.
- Inverse scattering problems for the Landau-Lifschitz equations, Journal of Mathematical Physics, 54(5):053701, 2013.
- Hyperbolic methods for the Landau-Lifschitz inverse scattering problem, Inverse Problems in Science and Engineering, 21(1), 84-106, 2013.
- (With H. Liu) The Cauchy-Dirichlet problem for the finitely extensible nonlinear elastic dumbbell Model of polymeric fluids, SIAM Journal on Mathematical Analysis, 44(5), 3617-3648, 2012.
- S.-C. Oh and J. Shin, A semantic e-Kanban system for network-centric manufacturing: technology, scale-free convergence, value and cost sharing considerations, International Journal of Production Research, 50(19), 5292-5316, 2012.
- J. Shin, J. Spicer, and J. Abell, Inverse and direct magnetic shaping problems, Structural and Multidisciplinary Optimization, 46 (2), 285-301, 2012.
- (With H. Liu) Global well-posedness for the microscopic FENE model with a sharp boundary condition, Journal of Differential Equations, 252(1), 641-662, 2012.
- (With P. Sacks) Computational methods for some inverse scattering problems, Applied Mathematics and Computation, 207, 111- 123, 2009.