职称：助理教授
研究方向：脑电源成像、癫痫病灶定位、睡眠呼吸暂停检测等。
Email：mjiao@fyust.org.cn
焦萌，2025年博士毕业于美国斯蒂文斯理工学院系统工程专业。博士期间致力于脑电源成像、癫痫病灶定位、睡眠呼吸暂停检测等研究。以第一作者身份在NeuroImage, Frontiers in Neuroscience, IEEE Transactions on Neural Systems and Rehabilitation Engineering等知名期刊及国际会议发表论文十余篇。于2023年及2024年分别获第16届International Conference of Brain Informatics最佳学生论文奖、首届CHI Next-Gen Healthcare Innovators Symposium最佳论文奖。现为福耀科技大学助理教授。
教育经历：
2018年获华北电力大学（保定）电气工程及其自动化学士学位
2025年获美国斯蒂文斯理工学院系统工程专业博士学位
工作经历：
2025年-至今，福耀科技大学智造与未来技术学院，助理教授
期刊：
[1] Meng Jiao, Shihao Yang, Xiaochen Xian, et al. “Multi-Modal Electrophysiological Source Imaging with Attention Neural Networks Based on Deep Fusion of EEG and MEG”. In: IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024).
[2] Meng Jiao, Xiaochen Xian, Boyu Wang, et al. “XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG”. In: NeuroImage 299 (2024), p. 120802.
[3] Meng Jiao, Changyue Song, Xiaochen Xian, et al. “Deep Attention Networks with Multi-Temporal Information Fusion for Sleep Apnea Detection”. In: IEEE Open Journal of Engineering in Medicine and Biology (2024).
[4] Meng Jiao, Guihong Wan, Yaxin Guo, et al. “A graph Fourier transform based bidirectional long short-term memory neural network for electrophysiological source imaging”. In: Frontiers in neuroscience 16 (2022), p. 867466.
[5] Shihao Yang, Meng Jiao, Jing Xiang, et al. "Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation." In Brain Informatics 11, no. 1 (2024): 8.
荣誉与奖励：
[1] 最佳学生论文奖，The 16th International Conference of Brain Informatics，2023
[2] 最佳论文奖，CHI Next-Gen Healthcare Innovators Symposium，2024