Special Session 7. Intelligent Algorithms and Big Data Platform for Brain-Computer Interfaces

 1. Brief Description

As a future industry outlined in national planning, brain-computer interfaces (BCIs) have been explicitly incorporated into the strategic framework of the 15th Five-Year Plan and the system of cutting-edge technologies. Breakthroughs in key core technologies, the development of data resources, and the cultivation of platform capabilities have become crucial directions for the country's scientific and technological advancement. At present, domestic BCI research is progressing rapidly; however, it remains at a stage characterized by "multi-point exploration, weak systemic integration, and lack of standards." Notable shortcomings exist in areas such as high-quality neural data, specialized computing platforms, reusable toolchains, and cross-device compatible interfaces. These deficiencies hinder the translation of research outcomes into clinical practice, rehabilitation, intelligent interaction, and industrial applications. Therefore, building a full-chain research infrastructure that integrates computing power, algorithms, data, and software has become a necessary foundation for promoting the disciplinary development of BCI and the transformation of its research achievements.


 2. Special Session Chair

Assoc. Prof. Jianxiu Li, Inner Mongolia University, China


 3. Special Session Topics

Potential topics of interest include but are not limited to:
▪ Neural data co-construction and standardization
▪ Data privacy protection
▪ Intelligent algorithm model development
▪ Intelligent interaction technology empowerment
▪ Neuromodulation system


 4. Introduction of Special Session Chair

Assoc. Prof. Jianxiu Li, Inner Mongolia University, China

Jianxiu Li is an Associate Professor and Master’s Supervisor at the School of Electronic and Information Engineering, Inner Mongolia University. She received her Ph.D. from Lanzhou University. She has long been engaged in research in the fields of affective computing, neuroelectrophysiology, and artificial intelligence, dedicating her efforts to exploring the application of brain‑inspired intelligent algorithms in neural rehabilitation. She has served as Principal Investigator for one Young Scientist Project (Category C) of the National Natural Science Foundation of China, one project of the Natural Science Foundation of Inner Mongolia Autonomous Region, one project of the Key Research and Development and Achievement Transformation Program of Inner Mongolia Autonomous Region, and one enterprise‑commissioned horizontal project. She has also participated in one project of the National Natural Science Foundation of China. Her papers have been published in international journals such as IEEE Transactions on Affective Computing, Journal of Neural Engineering, Journal of Affective Disorders, and IEEE Transactions on Computational Social Systems.