333体育

职 称

讲师

■硕导

专 业

333体育 /机械工程

办公地址

求是楼329

邮 编

100081

邮 件

7620220003@333tiyu.net

研究方向

智能人机系统、脑机接口与脑控机器人

代表性论文及研究项目

以第一或通讯作者发表SCI检索论文3篇，EI检索论文2篇。

以第一作者发表全英文教改论文1篇，

以第二著者出版全英文教材《Advanced Control Engineering》。

论文参见： //www.researchgate.net/profile/Aberham-Feleke

代表性专著和论文：

•毕路拯、Aberham Genetu Feleke、罗龙溪，Advanced Control Engineering，北京：北京理工大学出版社，2022.5.

•A.G. Feleke, L. Bi, W. Fei, “EMG-Based 3D Hand Motor Intention Prediction for Information Transfer from Human to Robot”, Sensors 21, no. 4: 1316,2021.

•J. Ju, L. Bi, A. G. Feleke, “Detection of Emergency Braking Intention from Soft Braking and Normal Driving Intentions Using EMG Signals”, IEEE Access,volume 9, 2021.

•J. Ju, L. Bi, A. G. Feleke, “Noninvasive neural signal-based detection of soft and emergency braking intentions of drivers”, Biomedical Signal Processing and Control, Vol 72, Part A, 2022.

•L. Bi, A. G. Feleke, C. Guan, “A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration”, Biomedical Signal Processing & Control, Vol 51, 2019.

•J. Ju, A. G. Feleke, L. Luo, X. Fan, “Recognition of Drivers’ Hard and Soft Braking Intentions Based on Hybrid Brain-Computer Interfaces”, Cyborg and Bionic Systems,2022.

•B. Peng, L. Bi, Z. Wang, A. G. Feleke, and 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.

•J. Wang, L. Bi, A. G. Feleke, and 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.

•M. Liu, Y. Liu, A. G. Feleke, W. Fei, and L. Bi., “Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography”, Sensors, 2024.

•A. G. Feleke, L. Bi, W. Fei, “Detection of Driver Emergency Steering Intention Using EMG Signal”, IEEE International Conference on Real-time Computing and Robotics (RCAR), 28-29 Sept. 2020, Asahikawa, Japan.

•A. G. Feleke, L. Bi, “An Experience of Teaching Advanced Control Engineering (ACE) for Postgraduate Students”, SETE 2020, ICWL 2020. Lecture Notes in Computer Science, vol 12511. Springer, Cham.

•X. Ke, L. Bi, W. Fei, and A. G. Feleke, “A Decoding Model of Upper Limb Movement Intention Based on Data Augmentation,”, 2022 China Automation Congress (CAC), Xiamen, China, 2022.

•R. Wang, Y. Liu, W. Fei, A. G. Feleke, and L. Bi, “Acoustic Target Recognition Method Based on EEG Signals,” 2022 China Automation Congress (CAC), Xiamen, China, 2022.

代表性科研项目

北京市科学技术委员会,自然基金,基于脑机接口的低信噪比下声目标的检测方法研究,2023-2025, 20万元，负责人。

成果及荣誉

•2024年度中国仿真学会自然科学奖二等奖；

•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（导师），2023；

•第十九届“挑战杯”全国大学生创新创业大赛，全国银奖（导师），2024；

•第八届中国国际大学生创新创业大赛, 北京市二等奖 (导师), 2023；

•第九届中国国际大学生创新创业大赛, 北京市二等奖 (导师), 2024。

社会职务

作为组织委员会成员举办了人的建模和增强国际会议, 2022和 2023；

作为组委会成员参加了2021年世界机器人大赛；

担任多个期刊的审稿人，包括IEEE/TNSRE,IEEE/ITSS,IEEE/TBME。