Regular biography
SONG Yongcun is an Assistant Professor at Nanyang Technological University, School of Physical and Mathematical Sciences, Department of Mathematics. He holds a PhD from The University of Hong Kong and his research interests include Optimal Control, Numerical Optimization, Scientific Computing, and Machine Learning. His office is located at SPMS-02-04C. For more information, visit the faculty profile page at https://www.ntu.edu.sg/spms/about-us/mathematics/people/faculty.
Scholar-generated biography
Yongcun Song is a researcher at Nanyang Technological University with expertise in Optimal Control, Optimization, Machine Learning, PDE-Constrained Optimization, and Hybrid Methods. His work focuses on developing advanced numerical methods and deep learning frameworks for solving complex optimization problems governed by partial differential equations. He has contributed to the application of ADMM, Uzawa, and primal-dual methods in optimal control, as well as the integration of neural networks for solving PDE-constrained problems. His research also extends to federated learning and data reconstruction attacks, highlighting his interdisciplinary approach to mathematical modeling and computational methods.