王玥 WANG, Yue
副教授 Associate Professor
Office: 光华楼东主楼2017
E-mail:yuewang@fudan.edu.cn
理学博士,复旦大学上海数学中心,应用数学,2019年
Doctor degree, Applied Mathematics, Shanghai Center for Mathematical Sciences, Fudan University, 2019
偏微分方程的控制理论、计算方法和工业应用
Control Theory, Computational Methods and Industrial Applications of Hyperbolic PDEs
复旦大学应用数学中心,副教授,2024年11月 - 至今
Associate Professor, Center for Applied Mathematics, Fudan University, 2024.11 - present
德国埃尔兰根数据数学中心,领导委员会委员,2023年11月 - 2024年10月
Steering Committee Member, FAU Research Center for Mathematics of Data, 2023.11 - 2024.10
德国埃尔朗根-纽伦堡大学DCN-AvH讲席,科研组组长(相当于青年教授),2022年9月 - 2024年10月
Research Group Leader and Senior Scientist, Chair for Dynamics, Control, Machine Learning and Numerics-Alexander von Humboldt (DCN-AvH), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2022.09 - 2024.10
德国埃尔朗根-纽伦堡大学数据科学学院,博士后研究员(合作导师:Enrique Zuazua院士),2021年9月 - 2022年8月
Postdoctoral Researcher (Supervisor: Prof. Enrique Zuazua), Department of Data Science, FAU, 2021.09 - 2022.08
德国埃尔朗根-纽伦堡大学数学学院,博士后研究员(合作导师:Günter Leugering教授),2019年9月 - 2021年8月
Postdoctoral Researcher (Supervisor: Prof. Günter Leugering), Department of Mathematics, FAU, 2019.09 - 2021.08
《数学分析II (H)习题课》;《数理方程》
Physics-Guided Machine Learning, funded by Schaeffler Technologies AG & Co. KG, 2024.04-2026.03
Modellierung, Analysis und Steuerung degenerierter nichtlinearer hyperbolischer Systeme auf Netzwerken. No. 504042427. Funded by Deutsche Forschungsgemeinschaft (DFG)/ Einzelprojekte(德国国家科研基金/个人项目), 2022.09-2024.08
Efficient Simulation and Optimal Control of Large-scale Hyperbolic Networks: Characteristic Analysis, Real-time Capable Methods and Algorithms. Funded by Deutsche Forschungsgemeinschaft (DFG)/ Sonderforschungsbereiche Transregio (TRR)- short term program(德国国家科研基金/国家重点联合研究项目/短期项目), 2024.09-2025.03
Control of Hyperbolic Systems on Large Scale Networks including Degeneration: a Combined Model and Data Based Approach. No. 5500168, funded by Emerging Talents Initiative(德国新兴人才计划), 2022.01 - 2023.01
Control, Inversion and Numerics for Partial Differential Equations (CIN-PDE), No. M-0548, funded by NSFC- Sino German Research Center(中德科学基金研究交流中心), 2022.11 - 2025.10
Leugering, G., Micu, S., Roventa, I. & Wang, Y., Controllability properties of a hyperbolic system with dynamic boundary conditions. Journal of Evolution Equations, 22:65 (2022).
Leugering,G.,Rodriguez,C.&Wang, Y. Nodal profile control for networks of geometrically exact beams. Journal de Mathématiques Pures et Appliquées, doi:10.1016/j.matpur.2021.07.007 (2021).
Vergara-Hermosilla, G., Leugering, G. & Wang, Y., Boundary controllability of a system modelling a partially immersed obstacle. Control, Optimisation and Calculus of Variations, 27 (2021).
Wang, Y. & Li, T., Exact boundary controllability of partial nodal profile for wave equations. Nonlinear Analysis: Real World Applications, 64 (2021).
Kogut, P., Leugering, G., Kupenko, O. & Wang, Y., A note on weighted sobolev spaces related to weakly and strongly degenerate differential operators. Journal of Optimization Theory and Applications, Vol.27, Issue 2, 1-27 (2019).
(Book Chapter) Leugering, G., Li, T. & Wang, Y. 1-d wave equations coupled via viscoelastic springs and masses: boundary controllability of a quasilinear and exponential stabilizability of a linear model. Trends in Control Theory and PDEs, Springer INDAM Ser., 32, Spring, Cham, 139-165 (2019).
Wang, Y., Leugering, G. & Li, T., Exact boundary controllability for 1-D quasilinear wave equations with dynamical boundary conditions. Mathematical Methods in the Applied Sciences 29, no. 10, 3808-3820 (2017).
《双曲系统的边界同步性》,作者:李大潜, 饶伯鹏, 王玥(译),上海科学技术出版社,2021年
第35届华东地区科技出版社优秀科技图书一等奖,华东地区科技出版社,2023
Kovalevskaya Grant Award,ICM 2022, Russia / IMU国际数学家大会 2022 / 国际数学联盟,2022
Kovalevskaya Travel Grant,European Mathematical Society & Deutsche Mathematiker Vereinigung 欧洲数学会/德国数学会,2021
Emerging Talents Initiative,FAU Erlangen-Nürnberg, 德国,2021