2024-Present: Ph.D. Candidate, Chinese Institute for Brain Research, Beijing & Beijing Normal University

2023-2024: Research Assistant, Chinese Institute for Brain Research, Beijing

2020-2023: M.S., Computational Mathematics, School of Science, Xihua University

2016-2020: B.S., Mathematics and Applied Mathematics, School of Applied Mathematics, Chengdu University of Information Technology

Experiences:

Jia Hai has earned a bachelor's degree and a master's degree in mathematics. During his master's degree, his main research direction was decoding biological signals based on deep learning algorithms. He was very interested in brain-computer interfaces and participated in the design of online brain-computer interface system. Now, he has joined Cui's lab for another experience. The research he is eager to participate in and learn from includes the regulation and optimization of transcranial electrical stimulation guided by individual brain networks, and the structure-functional brain network exploration of executive function.

Publications:

[1] H. Jia, S. Yu, S. Yin, L. Liu, C. Yi, K. Xue, F. Li, D. Yao, P. Xu, and T. Zhang, “A Model Combining Multi Branch Spectral-Temporal CNN, Efficient Channel Attention, and LightGBM for MI-BCI Classification,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1311-1320, 2023.

[2] J. Cong, W. Zhuang, Y. Liu, S. Yin, H. Jia, C. Yi, K. Chen, K. Xue, F. Li, and D. Yao, “Altered default mode network causal connectivity patterns in autism spectrum disorder revealed by Liang information flow analysis,” Human Brain Mapping, vol. 44, no. 6, pp. 2279-2293, 2023.

[3] W. Zhuang, H. Jia, Y. Liu, J. Cong, K. Chen, D. Yao, X. Kang, P. Xu, and T. Zhang, “Identification and analysis of autism spectrum disorder via large‐scale dynamic functional network connectivity,” Autism Research, 2023.