Prof. Xiaorong Gao🎓︎ Huazhong University of Science and Technology, China Research Area: brain‑computer interfaces (BCI), medical neuroengineering, neural signal processing, biomedical engineering, neural rehabilitation and human‑machine interaction Brief introduction: With over 20 years of research experience in brain‑computer interfaces (BCI), Professor Gao Xiaorong proposed and implemented the steady‑state visual evoked potential (SSVEP)‑based BCI technology. Professor Gao Xiaorong earned his Bachelor’s degree from Zhejiang University in 1986, his Master’s degree in Medicine from Peking Union Medical College in 1989, and his Doctoral degree from Tsinghua University in 1992. He has since taught at Tsinghua University, successively serving as Lecturer, Associate Professor, Professor, and Tenured Professor. He received Tsinghua University’s “Academic Rising Star Award” in 2004 and the Outstanding Contribution Award in Chinese Cardiac Rhythmology in 2019. He serves as Vice Chair‑Elect of the Medical Neuroengineering Branch, Chinese Society of Biomedical Engineering, and ranks 3rd in the China Top‑50 Brain‑Computer Interface Experts Forum. For more than two decades, Professor Gao has devoted himself to BCI research. He pioneered and realized the SSVEP‑based BCI paradigm, which has drawn extensive attention worldwide. Featuring high information transfer rate and multiple identifiable targets, this technology has become one of the mainstream BCI paradigms. He has published over 200 academic papers, which have been cited more than 20,000 times on Google Scholar. For over ten consecutive years, he has been listed among Elsevier’s Most Cited Chinese Researchers. |
Prof. Xiang Bai🎓︎ Hainan Normal University, China Research Area:Digital Transformation in Education; ICT Competency of TVET Teachers, Visual-Language Understanding and Multimodal Learning, Large Multimodal Models Brief introduction: Xiang Bai is a Professor and PhD Supervisor at the School of Software Engineering, Huazhong University of Science and Technology (HUST). He received his B.Eng., M.Eng. and Ph.D. degrees in Engineering from HUST. He was a Visiting Scholar at the University of California, Los Angeles (UCLA) from 2007 to 2008, and has been a faculty member at HUST since 2010, serving as Associate Professor and then Professor. He serves as Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Pattern Recognition, and International Journal of Document Analysis and Recognition. He is also Chair of the IEEE SPS Wuhan Chapter. His research achievements have been published in top journals and conferences including TPAMI, IJCV, and ACL, and he received the Best Paper Award at ACL 2024. |
