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CTIS 2023 Call for Papers


CTIS Workshop on Brain Computer Interface (CTIS-BCI'23) is going to be held during June 17-19, 2023 in Wuhan, China.

CTIS-BCI'23 workshop is held under the International Conference on Computer Technology and Information Science. CTIS 2023 offers good opportunities for the delegates to disseminate their research and exchange new ideas by bringing together leading academic scientists, researchers and research scholars, and in order to establish research and/or business links, as well as to build global partnership for potential collaboration.

CTIS 2023 focuses on high quality presentations and papers that address contemporary issues on fundamental research leading to new methods, or adaptation of existing methods for new applications related to the topics of Computer Technology and Information Science.

Topics of CTIS-BCI'23 workshop include, but not limited to, the following:

Intrusive BCI
Non-Invasive BCI
Semi Invasive BCI

CTIS-BCI'23 workshop Committee Members:

Tenure-track Assoc. Prof. Xiaoyang KangTenure-track Assoc. Prof. Xiaoyang Kang
Tenure-track Assoc. Professor, Institute of AI and Robotics, Academy for Engineering and Technology
FUDAN University, China

Areas of Expertise:
Neural Interface, Brain Computer Interface, Biomedical MEMS, Bioelectronics, Neural Engineering
Assoc. Prof. Li-Wei KoAssoc. Prof. Li-Wei Ko
Institute of Bioinformatics and Systems Biology
National Chiao Tung University

Areas of Expertise:
Neural Engineering, Brain Computer Interface, Computational Neuroscience, Neural Rehabilitation, Machine Learning and Artifical Intelligence, Computational Neuroscience, Neural Networks and Neuro-fuzzy System, Intelligent Healthcare Systems
Assoc. Prof. Nur Syazreen AhmadAssoc. Prof. Nur Syazreen Ahmad
School of Electrical and Electronic Engineering
Universiti Sains Malaysia, Malaysia

Areas of Expertise:
Robust constrained control, intelligent control systems, computer-based control, and autonomous mobile systems in wireless sensor networks
Dr. Tao ZhangDr. Tao Zhang
Lecturer, Jilin University, China

Areas of Expertise:
Bimedical signal processing and pattern recognition
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