Kangning Wang, Assistant Professor at the Institute of Automation, Chinese Academy of Sciences. He received his Ph.D. from Tianjin University in 2024, with research interests in brain-computer interfaces and state recognition. In the past five years, he has published academic papers as first author or co-first author, including 1 paper in the journal *Expert Systems with Applications*, 1 in *Neural Networks*, 1 in *Journal of Neural Engineering (JNE)*, 1 in *Scientific Data*, as well as 1 paper in the International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (an international conference in the field of biomedical engineering) and 1 in the International Conference on Neural Information Processing (an international conference in the field of neural information processing). He has also co-authored 1 paper in JNE, and holds 2 authorized national invention patents. He was awarded the first prize in the BCI Brain-Controlled Robot Technology Competition of the World Robot Contest 2022 and the second prize in the same competition of the World Robot Contest 2023, among other honors.

Brain-computer interfaces and brain state recognition

[1] Wang Kangning, Qiu Shuang*, Wei Wei, Zhang Yukun, Wang Shengpei, He Huiguang, Xu Minpeng, Jung Tzyy-Ping, Ming Dong*. A multimodal approach to estimating vigilance in SSVEP-based BCI[J]. Expert Systems with Applications, 2023, 225: 120177. 

[2] Wang Kangning, Wei Wei, Yi Weibo, Qiu Shuang*, He Huiguang, Xu Minpeng, Ming Dong*. Contrastive fine-grained domain adaptation network for EEG-based vigilance estimation[J]. Neural Networks, 2024, 179: 106617.

First prize in the BCI Brain-Controlled Robot Technology Competition of the World Robot Contest 2022 and the second prize in the same competition of the World Robot Contest 2023.