Regular biography
WANG Zhongjian is an Assistant Professor at Nanyang Technological University, School of Physical and Mathematical Sciences, Department of Mathematics. His research interests include Applied and Computational Mathematics, Numerical Analysis, Machine learning, and Generative models. He holds a PhD from The University of Hong Kong and is based in Office SPMS-MAS-05-05. His work focuses on advancing mathematical and computational techniques with applications in machine learning and numerical analysis.
Scholar-generated biography
Zhongjian Wang is an Assistant Professor at Nanyang Technological University, specializing in Applied Mathematics, Numerical Analysis, and Machine Learning. His research focuses on developing advanced numerical methods for solving complex interface problems, nonlinear filtering, and stochastic differential equations. Wang's work integrates deep learning techniques with traditional mathematical models to address challenges in fluid dynamics, diffusion processes, and pattern formation. He has published extensively on topics such as structure-preserving schemes, interacting particle methods, and Wasserstein distance-based algorithms. His research bridges computational mathematics and data-driven approaches to enhance the accuracy and efficiency of simulations in chaotic and stochastic systems.