Date & Time: 

2023 / 05 / 05 (Fri) 14:20 - 16:20

Location: 

Delta Building R216, NTHU

Speaker: 

 魏群樹 教授

國立陽明交通大學 資訊工程學系

Topic: 

Brain-Computer Interface: Trends and Challenges

Abstract: 

Brain-computer interfaces (BCIs) provide a direct link between the human brain and computers, enabling real-time monitoring of physiological and cognitive states. While there have been significant advances in BCI research, transitioning from laboratory-oriented studies to practical, real-world applications poses many challenges, including issues related to usability, convenience, and integration with other technologies. This talk presents an overview of the latest trends and challenges in real-world BCI technology, including recent advancements in deep learning techniques for EEG data analysis and the development of open-source analytical tools. I will also examines practical challenges of implementing BCI systems in real-world scenarios, such as user comfort, calibration time, and human variability in EEG data.

Biography: 

Dr. Chun-Shu Wei received the Ph.D. degree in Bioengineering from the University of California San Diego (UCSD), USA, in 2017. In 2018-2019, he worked as Postdoctoral Fellow at the School of Medicine, Stanford University, USA. He was an exchange student at the University of Illinois at Urbana-Champaign (UIUC) in 2008, a research intern at Academia Sinica, Taiwan, and at Mitsubishi Electric Research Laboratories (MERL), USA, in 2016 and 2017, respectively. In 2019, he joined NCTU as an assistant professor and was awarded Hwa Tse Roger Liang Junior Chair Professor. His research interests include brain-computer interface, cognitive engineering, computational neuroscience, machine learning and biomedical data analysis. Dr. Wei currently serves as an associate editor for Frontiers in Computational Neuroscience and an academic editor for PLOS ONE.