Career 2026.08 - present, Assistant Professor, ShanghaiTech University 2023.08 - 2026.08, Postdoctoral Associate, University of Minnesota, Twin Cities (Mentors: Jeff Calder, Li Wang) Education 2017.08 - 2023.05 Ph.D. in Applied Mathematics, University of Maryland, College Park (Advisor: Eitan Tadmor) 2022.05 - 2022.08 M.Sc. in Aerospace Engineering, University of Maryland, College Park (Advisor: James D.Baeder) 2013.09 - 2017.06 B.S. in Mathematics, Nankai University Research Interests My research interests center on interacting particle systems, numerical methods for partial differential equations, and collective dynamics. I am particularly interested in data-driven and structure-informed methods for multiscale modeling and feedback control of kinetic systems, with applications to fluid and plasma dynamics. Selected publications (First author) Jingcheng Lu, Li Wang, Jeff Calder. Dynamical feedback control with operator learning for the Vlasov-Poisson system, arXiv:2509.23063, 2025. Jingcheng Lu, Li Wang, Jeff Calder. Controlling instability in the Vlasov-Poisson system through moment-based optimization, accepted by SIAM Journal on Multiscale Modeling & Simulation Jingcheng Lu, Kunlun Qi, Li Wang, Jeff Calder. Continuous data assimilation for hydrodynamics: consistent discretization and application to moment recovery, Journal of Computational Physics, 538: 114199, 2025. Jingcheng Lu, Jeff Calder. Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions, Philosophical Transactions of the Royal Society A, 383(2298):20240234, 2025. Jingcheng Lu, Eitan Tadmor, Anil Zenginoglu. Swarm-Based Gradient Descent Method for Non-Convex Optimization, Communications of the American Mathematical Society, 2024, 4(17): 787-822. |
Email: lujch@shanghaitech.edu.cn Office: S308, School of Creativity & Arts Personal Website: |
