姓 名 |
费炜杰 |
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职 称 |
副教授 |
√博导 √硕导 |
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专 业 |
机械工程 |
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办公地址 |
求是楼322 |
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邮 编 |
100081 |
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办公电话 |
68912501 |
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邮 件 |
bitfwj@bit.edu.cn |
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研究方向 |
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北京理工大学机械与车辆学院副教授、博士生导师、机电系统与装备研究所副所长。 智能人机系统、脑机接口与脑控机器人、类脑/仿生听觉和视觉感知、人体运动神经解码与康复。 |
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代表性论文及研究项目 |
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他出版学术专著1部， IEEE TBME、IEEE TNSRE、IEEE TITS、ESWA等发表论文20余篇，论文入选世界机器人大赛一等奖、IEEE国际会议最佳论文等。获授权国家发明专利12项，获授权软件著作权4项。指导学生获中国国际大学生创新大赛金奖、铜奖，挑战杯全国总决赛银奖等。主持国家自然科学基金等项目3项，作为科研骨干参与军科委科技创新项目、GF基础科研等国家级科研项目10余项，项目入选“2030 未来产业创新任务-脑机接口揭榜挂帅”榜单，成果入选“2023 世界机器人大赛十大技术创新成果”。获北京市自然科学奖二等奖（排三）、中国仿真学会自然科学奖二等奖（排二）等。 代表性专著和论文: [1] XXX W. Fei, L. Bi*, J. Wang, S. Xia, X. Fan, C. Guan，Effects of Cognitive Distraction on Upper Limb Movement Decoding From EEG Signals, IEEE Transactions on Biomedical Engineering, 2022，vol.70(1), pp.166－174, IF = 4.5. [2] J. Shi, L. Bi, X. Xu, A. Feleke, W. Fei*, Low-Quality Video Target Detection Based on EEG Signal Using Eye Movement Alignment, Cyborg and Bionic Systems,2024, vol.5, pp.0121, IF =18.1. [3] D. Wang, J. Shi, M. Liu, W. Han, L. Bi, W. Fei*, Brain-inspired deep learning model for EEG-based low-quality video target detection with phased encoding and aligned fusion, Expert Systems with Applications, 2025, vol. 288, pp. 128189, IF =7.5. [4] H. Shi, L. Bi*, Z. Yang, W. Fei*, A Novel Control Framework of Brain-Controlled Vehicle Based on Fuzzy Logic_and_Model Predictive Control, IEEE Transactions on Intelligent Transportation Systems, 2022, vol.23(11), pp.21777-21789, IF =8.4. [5] J. Wang, L. Bi, W. Fei*, K. Tian*, EEG-Based Continuous Hand Movement Decoding Using Improved Center-Out Paradigm, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, vol.30, pp.2845-2855, IF =5.2. [6] B. Peng, L. Bi, Z. Wang, A. Feleke, W. Fei*, Robust Decoding of Upper-Limb Movement Direction Under Cognitive Distraction With Invariant Patterns in Embedding Manifold, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, vol.32, pp.1344-1354, IF =5.2. [7] L. Bi, S. Xia, W. Fei*, Hierarchical Decoding Model of Upper Limb Movement Intention From EEG Signals Based on Attention State Estimation, Transactions on Neural Systems and Rehabilitation Engineering, 2021, vol.29, pp.2008-2016, IF =5.2. [8] J. Wang, L. Bi, A. Feleke, W. Fei*, MRCPs-and-ERS/D-Oscillations-Driven Deep Learning Models for Decoding Unimanual and Bimanual Movements, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, vol.31, pp.1384-1393, IF =5.2. [9] H. Shi, L. Bi*, Z. Yang, H. Ge, W. Fei*, L. Wang, Adaptive Model Prediction Control Framework With Game Theory for Brain-Controlled Air-Ground Collaborative Autonomous System, IEEE Robotics and Automation Letters, 2024, vol.10(2), pp.1577-1584, IF =5.3. [10] J. Wang, L. Bi, W. Fei*, EEG-Based Motor BCIs for Upper Limb Movement: Current Techniques and Future Insights, Transactions on Neural Systems and Rehabilitation Engineering, 2023, vol.31, pp.4413-4427, IF =5.2. [11] J. Wang, L. Bi, W. Fei*, Using Non-linear Dynamics of EEG Signals to Classify Primary Hand Movement Intent Under Opposite Hand Movement, Frontiers in Neurorobotics, 2022, vol.16, pp.845127, IF =2.8. [12] M. Liu, Y. Liu, A. Feleke, W. Fei*, L. Bi, Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography, Sensors, 2024, vol.24(19), pp.6304, IF =3.5. |
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成果及荣誉 |
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[1] 2025年获北京市自然科学奖二等奖（排三） [2] 2025年入选脑机接口产业联盟“青百荟”青年学者 [3] 2024年获中国仿真学会自然科学二等奖（排二） [4] 2023年指导学生获第九届中国国际大学生创新创业大赛全国金奖 [5] 2023年指导学生获第十八届“挑战杯”全国大学生课外学术科技作品竞赛全国二等奖 [6] 2023年获世界机器人大赛十大技术创新成果 [7] 2022获世界机器人大赛-BCI脑控机器人大赛青年优秀论文一等奖（第一名） [8] 2021年获世界机器人大赛特殊贡献奖 |
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社会职务 |
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他担任中国人类工效学学会人机工程专委会委员。入选ZZB人才计划、脑机接口产业联盟“青百荟”青年学者。担任2022和2023 HPMA国际会议大会分会联合主席，2024和2025 IEEE ICUS国际会议专题联合主席 |
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