Research Platform
Shenzhen International Center for Industrial and Applied Mathematics
The Shenzhen International Center for Industrial and Applied Mathematics (SIClAM) was established in September 2021 as a research institution focusing on the core issues of digital economy industry innovation in the Guangdong-Hong Kong-Macao Greater Bay Area. SIClAM is registered as the Futian Branch of the Shenzhen Research institute of Big Data (SRlBD), and is led by Professor Zhiming Ma, an academician of the Chinese Academy of Sciences, as Director, and Professor Xiaoping Wang as Executive Director. The center has already gathered more than ten internationally renowned talents in the field of industrial and applied mathematics. SIClAM conducts scientific and technological research in three key areas: Al theory, models, and applications; core solvers for intelligent industrial software; and the theory and applications of applied mathematics and scientific computing. SlClAM is dedicated to attracting top international talents, promoting international cooperation in industrial and applied mathematics, and solving key technical problems of national importance.
Our Team
The Shenzhen International Center for Industrial and Applied Mathematics has a group of international research elites who are from top international universities such as the Massachusetts Institute of Technology, New York University, Peking University, the University of Minnesota, and the Hong Kong University of Science and Technology. They are committed to tackling difficult problems in the field of industrial and applied mathematics, promoting the transformation of academic achievements, and providing strong intellectual support for the innovative development of relevant industries in Shenzhen and even globally.
Key Research
SICIAM will delve into AI research from four aspects: mathematical theories of large-scale models, analysis and design of optimization algorithms in machine learning, algorithm design assisted by machine learning, and the application of AI in communication networks. Through our research, we aspire to deepen our understanding of artificial intelligence, provide robust support for practical applications, and promote continuous innovation in the field of artificial intelligence.
The OpenCAX+ project focuses on the development of industrial software and its core algorithmic tools tailored for manufacturing processes and technology. It provides a unified software development kit (SDK) for computer-aided design, engineering, manufacturing, inspection, and artificial intelligence. This SDK enables the rapid integration of algorithms and industrial mechanisms into industrial software, facilitating the creation of robust products. Additionally, the project aims to establish a dual ecosystem for industrial software developers and users by offering a platform that accommodates both open-source and proprietary software and packages. At the heart of this initiative is the unified open-source developer ecosystem, which forms the basis for various industries' proprietary commercial user ecosystems. The OpenCAX+ project has received support from multiple research institutions.
how to design efficient, unconditionally stable, and structure-preserving numerical algorithms, as well as how to achieve deep integration with machine learning, have become research hotspots in the field of scientific computing and applied mathematics. The center will focus on innovative application exploration in the following core scenarios: computational fluid dynamics applications, topological optimization applications, computational solid mechanics applications, core algorithms and theories of scientific computing, and cross-research between scientific computing and deep learning.
