International Workshop on Numerical and Learning Methods for PDEs

1. Time and location

  Tsinghua Sanya International Mathematics Forum (TSIMF), Sanya, China, February 9-13, 2026.

2. Organizers

	Name	Affiliation	Title	Email
1	Xiao-Chuan   Cai	University   of Macau	Professor	xccai@um.edu.mo
2	Luca   Franco Pavarino	University   of Pavia, Italy	Professor	luca.pavarino@unipv.it
3	Alexander   Heinlein	Delft   University of Technology, Netherlands	Assistant   Professor	A.Heinlein@tudelft.nl
4	Rongliang   Chen	Shenzhen   Institutes of Advanced Technology Chinese Academy of Sciences	Professor	rl.chen@siat.ac.cn

3. Abstract

The aim of the International Workshop on Numerical and Learning Methods for PDEs is to unite researchers in numerical analysis, scientific computing, and machine learning to advance methods for solving Partial Differential Equations (PDEs), which are essential for modeling phenomena in science and engineering, such as fluid dynamics, climate systems, and biomedical processes. Despite progress in numerical methods, challenges persist in creating efficient, accurate, and scalable solvers for complex, data-driven, or multiphysics problems. This workshop provides a platform to explore new developments, foster collaboration, and shape future research in PDE solvers.

 

4. Confirmed Attendee

	Name	Affiliation	Title
1	Xiao-Chuan Cai	澳门大学/University of Macau	Professor
2	Luca Franco Pavarino	意大利帕维亚大学/University of Pavia, Italy	Professor
3	Alexander Heinlein	代尔夫特理工大学/Delft University of Technology, Netherlands	Assistant Professor
4	Rongliang Chen	中国科学院深圳先进技术研究院/Shenzhen Institutes of Advanced Technology   Chinese Academy of Sciences	Professor
5	Bangti Jin	The Chinese University of Hong Kong	Professor
6	Yang Xiang	The Hong Kong University of Science and Technology	Professor
7	Guanghui Hu	University of Macau	Professor
8	Edoardo Centofanti	University of Pavia, Italy	Postdoc
9	Ngoc Monica Mai Huynh	University of Milan, Italy	Postdoc
10	Sofia Botti	Universita' della Svizzera Italiana (USI), Switzerland	Postdoc
11	Rolf Krause	KAUST, Saudi Arabia	Professor
12	Stefano Zampini	KAUST, Saudi Arabia	Researcher
13	Zhengzheng Yan	Shenzhen Institutes of Advanced Technology      Chinese Academy of Sciences	Associate Professor
14	Yi Jiang	Shenzhen Institutes of Advanced Technology      Chinese Academy of Sciences	Assistant Professor
15	Zeng Lin	Shenzhen Institutes of Advanced Technology      Chinese Academy of Sciences	Assistant Professor
16	Zaiheng Cheng	Shenzhen Institutes of Advanced Technology      Chinese Academy of Sciences	Assistant Professor
17	Shulin Wu	Northeast Normal University	Professor
18	Tao Zhou	Academy of Mathematics and Systems Science, Chinese Academy of   Sciences	Professor
19	Haijian Yang	Hunan University	Professor
20	Xinding Chen	Beijing Technology and Business University	Professor
21	Chupeng Ma	Great Bay University	Assistant Professor
22	Liang Yan	Southeast University	Professor
23	Zihao Yang	Northwestern Polytechnical University	Professor
24	Qifeng Liao	ShanghaiTech University	Associate Professor
25	Li Luo	University of Macau	Assistant Professor
26	Fei Wang	Xi'an Jiaotong University	Professor
27	Chang-Ock Lee	KAIST	Prof.
28	Giovanni Stabile	Sant'Anna School of Advanced Studies	Associate Professor
29	Jooyoung Hahn	CTU	Assistant Professor
30	Antoine Lechevallier	Norce	Researcher
31	Ruchi Guo	Sichuan University	Prof.
32	Xiaoping Wang	The Chinese University of Hong Kong (Shenzhen)	Professor
33	Buyang Li	The Hong Kong Polytechnic University	Professor
34	Zhiqiang Cai	Great Bay University	Professor
35	Han Zhang	Tsinghua University	Associate Professor