Bio:Shahram Latifi, an IEEE Fellow, received the Master of Science egree in Electrical Engineering from Fanni, Teheran University, Iran in 1980. He received the Master of Science and the PhD degrees both in Electrical and Computer Engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently a Professor of Electrical Engineering at the University of Nevada, Las Vegas. Dr. Latifi is the director of the Center for Information and Communication Technology (CICT) at UNLV. He has designed and taught graduate courses on Bio-Surveillance, Image Processing, Computer Networks, Fault Tolerant Computing, and Data Compression in the past twenty years. He has given seminars on the aforementioned topics all over the world. He has authored over 200 technical articles in the areas of image processing, biosurveillance, biometrics, document analysis, computer networks, fault tolerant computing, parallel processing, and data compression. His research has been funded by NSF, NASA, DOE, Boeing, Lockheed and Cray Inc. Dr. Latifi was an Associate Editor of the IEEE Transactions on Computers (1999-2006) and Co-founder and General Chair of the IEEE Int'l Conf. on Information Technology. He is also a Registered Professional Engineer in the State of Nevada.

Research Interests: Machine learning, natural language processing, computer vision; AI-generated content, multimodal large models, intelligent healthcare, etc.

Bio: Sun Shiliang is a professor at Shanghai Jiao Tong University and the director of the Artificial Intelligence Committee of the Shanghai Computer Society, as well as the director of the Machine Learning Committee of the Shanghai Image and Graphics Society. He graduated with a bachelor's degree from Beihang University and a doctorate from Tsinghua University. He has conducted visiting research at overseas universities such as University College London and Columbia University. Currently, he serves as the head of the Big Data and Artificial Intelligence Laboratory (PRML Research Group) at Shanghai Jiao Tong University. His main research fields are machine learning and artificial intelligence. He is a member of well-known journals such as IEEE TPAMI, IEEE TNNLS, and the Chinese Journal of Automation. He has received important awards such as the First Prize of the Natural Science Award of the Chinese Association of Automation. To date, he has published over 200 academic papers and in 2020, he published the Chinese textbook "Pattern Recognition and Machine Learning" (published by Tsinghua University Press).

Speech Title: Challenges and Solutions in Multimodal Large Model Inference: Taking Full-Modal Mathematical Reasoning as an Example