PREPRINTS
J. Shin, Uniqueness for phase retrieval in certain inverse medium scattering problems, submitted.
Seog-Chan Oh, J. Shin, Jorge Arinez, Jeffrey Abell, and Qing Chang, Multi-stage Bayesian optimization for throughput improvement in stochastic manufacturing systems, submitted.
Sungwhan Kim, Soo-Ho Kim, Mi-Kyoung Song, J. Shin, Jong Hyun Seo, and Ji-Yeon Kang, New beam hardened data correction and its application to artifact reduction in CT images, submitted.
Seog-Chan Oh and J. Shin, Mitigation effect on the efficiency mismeasurement of deterministic data envelopment analysis through statistical noise correction, submitted.
JOURNAL ARTICLES
[16] (Joint work with Hailiang Liu) Necessary conditions for blow-up solutions to the restricted Euler-Poisson equations, Communications in Mathematical Sciences, 20(2), 327-357, 2022.
[15] Meixin Xiong, Liuhong Chen, Ju 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.
[14] Seog-Chan Oh and J. Shin, The assessment of car making plants with an integrated Stochastic Frontier Analysis model, Mathematics, 9(11), 1296, 2021.
[13] Soojong Lim and J. Shin, Application of a deep neural network to phase retrieval in inverse medium scattering problems, Computation, 9(5), 56, 2021.
[12] J. Shin, Uniqueness in the magnetic shaping problem without high frequency assumption, Applied Mathematics Letters, 102, 106106, 2020.
[11] J. Shin and Emmanuel Arhin, Determining radially symmetric potential from near-field scattering data, Journal of Applied Mathematics and Computing, 62(1), 511-524, 2020.
[10] (Joint work with Hyeonbae, Kang, Kyoungsun Kim, Hyundae Lee, and Sanghyeon 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.
[9] J. Shin, Inverse obstacle backscattering problems with phaseless data, European Journal of Applied Mathematics, 27(1), 111-130, 2016.
[8] Seog-Chan Oh and J. Shin, The impact of mismeasurement in performance benchmarking: A Monte Carlo comparison of SFA and DEA with different multi-period budgeting strategies, European Journal of Operational Research, 240(2), 518-527, 2015.
[7] J. Shin, Inverse scattering problems for the Landau-Lifschitz equations, Journal of Mathematical Physics, 54(5):053701, 2013.
[6] J. Shin, Hyperbolic methods for the Landau-Lifschitz inverse scattering problem, Inverse Problems in Science and Engineering, 21(1), 84-106, 2013.
[5] (Joint work with Hailiang 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.
[4] Seog-Chan 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.
[3] J. Shin, John Spicer, and Jeffrey Abell, Inverse and direct magnetic shaping problems, Structural and Multidisciplinary Optimization, 46(2), 285-301, 2012.
[2] (Joint work with Hailiang Liu) Global well-posedness for the microscopic FENE model with a sharp boundary condition, Journal of Differential Equations, 252(1), 641-662, 2012.
[1] (Joint work with Paul Sacks) Computational methods for some inverse scattering problems, Applied Mathematics and Computation, 207, 111-123, 2009.
THESIS
J. Shin, Inverse scattering problems for first-order systems, Ph.D. dissertation, Iowa State University, 2008.
TECHNICAL REPORTS
J. Shin et al., Four confidential technical reports, General Motors Global Research and Development, 2012-2019.
PATENTS
Patent Application: "Refractive Index Reconstruction System and Method for Axially Symmetric Media", filed on August 09, 2023.