Intelligent Computing and FinTech Laboratory (ICFT)@XJTLU
The mission of XJTLU Intelligent Computing and Financial Technology Laboratory is to effectively integrate intelligent computing technology and financial technology, so as to enhance the ability of technology to serve the park economy and make contributions to XJTLU. Relying on the strong support of Suzhou Industrial Park, the XJTLU Intelligent Computing and Financial Technology Laboratory was completed in August 2020. The laboratory focuses on two research areas: Provide innovative computational methods and mathematical tools to optimize economic benefits or maximize social output. Intelligent computing with a solid mathematical foundation and comprehensive use of modern computing capabilities will be an important means to solve the challenges of massive data (and computing) with uncertainties that the industry is facing. It integrates with new technologies at different levels of financial business to realize data-driven intelligent decision-making, and based on this, it provides decision-making suggestions for financial institutions in business aspects such as asset liability management and risk management planning.
Director:
Prof. Fei Ma Associate vice-president, Research & Impact
Intelligent Computing and FinTech Laboratory (ICFT)@XJTLU
The mission of XJTLU Intelligent Computing and Financial Technology Laboratory is to effectively integrate intelligent computing technology and financial technology, so as to enhance the ability of technology to serve the park economy and make contributions to XJTLU. Relying on the strong support of Suzhou Industrial Park, the XJTLU Intelligent Computing and Financial Technology Laboratory was completed in August 2020. The laboratory focuses on two research areas: Provide innovative computational methods and mathematical tools to optimize economic benefits or maximize social output. Intelligent computing with a solid mathematical foundation and comprehensive use of modern computing capabilities will be an important means to solve the challenges of massive data (and computing) with uncertainties that the industry is facing. It integrates with new technologies at different levels of financial business to realize data-driven intelligent decision-making, and based on this, it provides decision-making suggestions for financial institutions in business aspects such as asset liability management and risk management planning.
Director:
Prof. Fei Ma Associate vice-president, Research & Impact