Speakers (2025)

Professor Yun Li FIEEE

Bio: Professor Yun Li FIEEE taught at University of Glasgow for 28 years since 1991, where he supervised 30 doctoral students on “AI for Science and Engineering”, was recognized as the second Top Author, and served as the founding Director of University of Glasgow Singapore.  In 2021, he founded the Industrial Artificial Intelligence Centre and is currently its Chief Scientist as well as Chief Scientist of the AI and Robotics Institute, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, where he serves as Changjiang Chair Professor.  Prof Li has published over 300 papers and books, and holds over 30 patents in China, Europe, United States and Japan.  He has been funded over 20 million pounds to led or co-led over 30 research projects in the UK, EU, Singapore, and China, and currently leads 3 major research projects funded by the National Natural Science Foundation of China for the next-generation AI models and by the National Key R&D Program of China for the next-generation AI chips. 

Title: Grey-Box State-Space World Model Towards the Next Generation of Artificial Intelligence for Engineering

Abstract: The explosive growth in data volume and computational power has enabled the successful application of artificial intelligence (AI) to engineering science ("AI for Engineering"), greatly enhancing industrial innovation in terms of exploration, imagination, and creativity.  This talk introduces, in conjunction with a generic large language model (LLM) based on the Artificial Neural Network (ANN) and the Kolmogorov-Arnold Network (KAN), the next generation AI model based on a grey-box state-space model (SSM) that is explainable and is capable of understanding and interacting with the physical world. The talk will also illustrate the elevation of "Computer-Aided Design" (CAD) in the third paradigm of science to "Computer-Automated Design" (CAutoD) in the fourth paradigm, so as to break through the intelligence limits of human engineers, whereby enlightening original creativity, enhancing design performance, and shortening development gearing.  Applications will cover engineering design, dynamic system modelling, and electronic design automation (EDA).