Dr. Xun Chen

University of Science and Technology of China

Topic: Neural Signal Analysis and Application

Time: (Monday), June 17, 2024, 10:30–12:00

Venue: 1F Lecture Hall, School of Computer, Electronics and Information

Abstract: Neural signals contain rich information about human health, playing a crucial role throughout the entire process of health assurance including proactive prevention, intelligent diagnosis, precise treatment, and scientific rehabilitation. However, neural signals exhibit characteristics such as extremely low magnitude, strong randomness, and diverse modalities, posing challenges such as severe aliasing, poor repeatability, and heterogeneity across multiple sources. This presentation will introduce methods and its applications for neural physiological signal decomposition, correlation, and fusion based on joint blind source separation and deep feature representation from the perspectives of multi-set and multi-modal approaches. It will explore effective strategies for separating complex interference information, analyzing latent commonalities, and mining heterogeneous complementary information to overcome interference, reconcile differences, and integrate complementary aspects.

Speaker Bio: Xun Chen, professor, Ph.D. supervisor, and vice dean at the School of Information Science and Technology, University of Science and Technology of China. He is a National High-level Talent and a recipient of the National Natural Science Foundation of China Excellent Young Scientist Scheme. His research focuses on brain-machine interfaces and multimodal image analysis. He has published over 100 papers in prestigious international journals such as IEEE SPM/TNSRE/TBME, with over 10,000 citations on Google Scholar. He has received awards including IEEE/Elsevier/IOP Journal Paper Awards, the HuaNao Scholar Award, and the Alibaba DAMO Academy Young Fellow. For three consecutive years, he has been listed among the top 2% of global scientists. He serves as an expert in the overall group of key special projects of the Ministry of Science and Technology of China, and holds positions as a council member of the Chinese Society of Biomedical Engineering, vice chairman of the Youth Working Committee, and vice chairman of the brain-machine fusion committee of the Chinese Association for Artificial Intelligence. He is an editorial board member for international journals such as IEEE TIM/SPL/OJSP.

Organizer: School of Computer, Electronics and Information