In recent years, there has been a growing intersection between applied mathematics and machine learning, leading to exciting developments and trends in both fields. This interdisciplinary collaboration has resulted in innovative approaches to problem-solving, enhanced predictive modeling capabilities, and the creation of powerful tools for various applications. Below are some key trends in applied mathematics and machine learning:
· Deep learning and neural networks
· Data-driven modeling
· Inverse problems and imaging
· Optimization and control
· Quantum machine learning
· Explainable AI (XAI)
· Hybrid models
· Cross-disciplinary collaboration, etc.
These trends reflect the dynamic and evolving nature of the collaboration between applied mathematics and machine learning. Researchers and practitioners in both fields continue to explore new avenues for leveraging mathematical principles to enhance the capabilities of machine learning algorithms and, reciprocally, applying machine learning techniques to advance the solutions to mathematical problems.
This conference aims to serve as a platform for the mathematical community, fostering exposure to the latest advancements in the fields of industrial and applied mathematics. This endeavor seeks to catalyze research on diverse mathematical challenges arising from economic development and technological progress. A distinctive aspect of the conference lies in our commitment to featuring presentations by globally renowned mathematicians at the forefront of industrial and applied mathematics.
Beyond showcasing cutting-edge developments, the conference endeavors to unite disparate factions of mathematicians engaged in industrial and applied mathematics. By doing so, it aspires to cultivate an environment conducive to the generation of novel mathematical ideas. The event also strives to fuel the initiation and fortification of collaborative efforts among researchers in the global mathematical community. The ultimate goal is to yield top-tier outcomes in this dynamic and critical field, thereby contributing significantly to the intersection of mathematics, industry, and application.
Scientific Committee
· Enrique Zuazua. FAU Erlangen-Nürnberg (Germany)
· Ran Zhang. Jilin University (China)
Organizing Committee
· Ran Zhang (Jilin University)
· Chunpeng Wang (Jilin University)
· Jiwei Jia (Jilin University)
· Ping Lin (Northeast Normal University)
· Xu Liu (Northeast Normal University)
· Yubiao Zhang (Jilin University)
· Yongyi Yu (Jilin University)
Plenary Speakers
· Martin J. Gander (University of Geneva)
· Walter Gander (ETH Zürich)
· Qianxiao Li (National University of Singapore)
· Qi Lü (Sichuan University)
· Xiaoming Yuan (The University of Hong Kong)
· Xu Zhang (Sichuan Normal University)
· Zhennan Zhou (Westlake University)
Speakers
· Xiaowu Dai (University of California, Los Angeles)
· Wei Gong (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
· Zhongjie Han (Tianjin University)
· Ping Lin (Northeast Normal University)
· Kang Liu (Université Bourgogne Europe)
· Zhiping Rao (Xi’an Jiaotong-Liverpool University)
· Yongcun Song (City University of Hong Kong)
· Yu Wang (Southwest Jiaotong University)
· Ziqi Wang (FAU Erlangen-Nürnberg)
· Hehu Xie (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
· Haisen Zhang (Sichuan Normal University)
· Qiong Zhang (Beijing Institute of Technology)
· Yaoyu Zhang (Shanghai Jiao Tong University)
· Yubiao Zhang (Jilin University)
· Chuang Zheng (Beijing Normal University)
· Yuhua Zhu (University of California, Los Angeles)
Conference Date July 25-July 27,2025
Conference Venue Zhengxin Building, Jilin University
