2023-Present: 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, and he was very interested in brain-computer interfaces. Therefore, during his internship, he also joined the wearable device research group of West China Hospital of Sichuan University to participate in designing the brain-computer interface online system. Now, he joined Cui's Lab to start another experience. The research he is eager to participate in and learn includes neural regulation of electrical stimulation, network cybernetics model, and structural 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.