Led by Chair Prof. Chen Xiaojun and Prof. Qiao Zhonghua from PolyU, and Prof. Yuan Ya-xiang and Prof. Liu Xin from the Chinese Academic of Science (CAS), the CAS Academy of Mathematics & Systems Science (AMSS) PolyU Joint Laboratory of Applied Mathematics (the Joint Lab) has received HKD $3,000,000 from the CAS-Croucher Funding Scheme for its collaborative project titled “Nonlinear Optimization Theory, Algorithms and Applications” recently. PolyU and the CAS AMSS will each provide a matching fund of HKD 375,000 for the project, equivalent to HKD 750,000.
The funded project aims to conduct a comprehensive mathematical investigation of nonlinear optimization theory and build solid mathematical foundations for essential applications in data science, engineering and economics. Researchers of the Joint Lab will develop advanced and cutting-edge deep learning software using new optimization theory and algorithms to overcome the difficulties of the existing software in terms of speed, accuracy, robustness and complexity. Efficient optimization models and tools using artificial neural network-based machine learning algorithms will also be developed for medical image analytics, digital economy and smart cities.
As one of the 22 joint laboratories with Universities in Hong Kong approved by the CAS, the Joint Lab denotes CAS’ recognition of PolyU’s research excellence in applied mathematics. By combining the strengths and expertise of PolyU and the CAS research institute, the Joint Lab showcases the synergies of CAS and PolyU and serves as an important platform for advancing knowledge transfer and applications as well as nurturing talents in applied mathematics in the mainland China and Hong Kong. These collaborations ultimately benefit the development of the Greater Bay Area and contribute to the economic development of the society.