李可，教授，博导，实验教学中心主任。2003-2008年北京航空航天大学人机与环境工程专业获工学博士学位。2008年-2010年北航流体力学研所作博士后,出站后留校进入人机工效与环境控制重点学科实验室任教至今。2012-2014年，两次在美国北卡罗来纳大学教堂山分校从事访问学者研究工作。发表学术论文60余篇，其中以第一作者或通讯作者在SCI期刊上发表论文30余篇。获批国家发明专利十余项。主持国家自然科学基金项目、航空科学基金、航天科技基金、凡舟基金及航空、航天院所多项课题研究。获得*科学技术进步一等奖两项（2010 R7,2019,R9）、JF技术进步三等奖（2017，R2）、中国仪器仪表学会技术发明奖二等奖一项（2023 R1）、中国发明学会创新奖二等奖（2024 R1）、*科学技术发明奖三等奖（2025 R1）。获得北京市德育先进工作者称号。现任中国智能学会认知系统与信息处理专业委员会委员。目前承担本科生《C语言程序设计》、《人工智能及航空应用》、《飞行中的人为因素》、《综合实验》等课程的教学任务。

研究方向：

1）人机环智能系统理论与工程 2）多元环境参数感知、飞行器数据挖掘与故障诊断 3）人机混合智能方法及人机工效测评4）先进交互方式与机器学习应用

学术成果：

[1] Tao Zhang, Li Ke*, Shaofan Wang. “Time Series Classification based on Supervised Contrastive Learning and Homoscedastic Uncertainty,” IEEE Transactions on Neural Networks and Learning Systems , 2025（SCI Q1, IF=8.9）

[2] Yuangan Li, Ke Li*, Jingcheng Zhang, Shaofan Wang, Donghao Wang. “CLNet: A Lightweight Real-Time Network for Monitoring Pilots’ Cognitive Load Based on Multi-scale Spatiotemporal Convolution,” International Journal of Human-Computer Interaction, 2025（SCI Q1, IF=4.9）

[3] Tao Zhang, Shaofan Wang, Zhao Zhang, Lingyun Zhou, Ke Li*. “Enhancing Gesture-Based Human-Drone Interaction in Emergency Scenarios: An Elicitation Study,” International Journal of Human-Computer Interaction, 2025（SCI Q1, IF=4.9）

[4] Xiaodan Chen, Ke Li*, Shaofan Wang, Haobo Liu. “A hybrid prognostic approach combined with deep Bayesian transformer and enhanced particle filter for remaining useful life prediction of bearings,” Measurement, 2025: 117184. (SCI一区, IF=5.2)

[5] S. Wang, T. Zhang, Z. Zhang, and K. Li*. “Uncertainty-Aware Hand Gesture Recognition for Safety-Critical and Emergency Human-Robot Interaction,” Sensors and Actuators A: Physical, 2024. (SCI一区, IF=4.1)

[6] Xiaodan Chen, Ke Li*, Shaofan Wang, Haobo Liu. “A hybrid prognostic approach combining a stacked multi-head self-attention auto-encoder and multi-modal relevance sampling particle filter,” IEEE Transactions on Instrumentation and Measurement,2025. (SCI一区, IF=5.6, 已录用)

[7] Shaofan Wang; Yuangan Li; Zhang Tao; Ke Li* “TAGformer: A Multimodal Physiological Signals Fusion Network for Pilot Stress Recognition”[J].IEEE Sensors Journal 2024

[8] Shaofan Wang; Zhang Tao; Yuangan Li; Pengjiao Li; Haopeng WU; Ke Li* “Continuous Hand Gestures Detection and Recognition in Emergency Human-Robot Interaction Based on the Inertial Measurement Unit”[J]. IEEE Transactions on Instrumentation and Measurement，2024

[9] Yuhan Li; Ke Li*; Jiaao Chen; Shaofan Wang; Haochang Lu; Dongsheng Wen “Pilot Stress Detection Through Physiological Signals Using a Transformer-Based Deep Learning Model”[J]. EEE Sensors Journal. 2023,7(102):102. Published in: IEEE Sensors Journal ( Volume: 23, Issue: 11, 01 June 2023)

[10] Wu Y, Li K*, Zhao A et al. Energy Analysis for Solar-Powered Unmanned Aerial Vehicle under Static Soaring [J]. Aerospace, 2023, 10(9), 779.

[11] Yuxiang Zhang, Ke Li*, Ke Li, Jingyi Liu, et al. “Intelligent Prediction Method for Updraft of UAV that is Based on LSTM Network” [J]. IEEE Transactions on Cognitive and Developmental Systems, 31 December 2020, DOI: 10.1109/TCDS.2020.3048347.

[12] Zhao AM, Zhang J, Li K, et al. “Design and implementation of an innovative airborne electric propulsion measure system of fixed-wing UAV”[J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2019, 164(7).96-106.WOS:000612215400012 DOI: 10.1016/j.ast.2020.106357

[13] Li Y, Wang X, Luo L, Li K,* et al. “Epileptic Seizure Classification of EEGs using Time-Frequency Analysis based Multiscale Radial Basis Functions”[J]. IEEE Journal of Biomedical & Health Informatics, 2018,22(2):386-397.WOS:000426831200011DOI: 10.1109/JBHI.2017.2654479 )

[14] LI Y, CUI W G, LUO M L, LI K et al. “Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features”[J]. International Journal of Neural Systems, 2018, 28(7).61773039.WOS:000439315000004 DOI: 10.1142/S012906571850003X

[15] Ke Li,Yalei Wu,Yang Li (*),Hierarchical multi-class classification inspacecraft multimodal signals data using DNN and weighted support vectormachine ,Neurocomputing, SCI ,2016。    

[16] Yang Li ,Mei-Lin Luo,Ke Li(*),A multiwavelet-based time-varyingmodelidentification approach for time-frequency analysis of EEG signals,Neurocomputing,SCI2016,2（10）：1-13。

[17] Li Ke ,Liu Wangkai,Wang Jun,Huang Yong,Liu Meng,Multi-parameter decouplingand slope tracking control strategy of a large-scale high altitude environmentsimulation test cabin,Chinese Journal of Aeronautics, SCI,2014,27（6）：1390-1400。

[18] LiKe ,Liu Wangkai,Wang Jun,Huang Yong,An intelligent control method for alarge multi-parameter environmental simulation cabin,Chinese Journal ofAeronautics,SCI,2013,26（6）：1360-1369。

[19] 李可,李源淦,林贵平,张兴娟.基于网络架构的虚拟仿真实验教学研究[J].中国多媒体与网络教学学报(上旬刊),2022(12):10-13.

[20] 李可,王全鑫,宋世民,孙毅,王浚.基于改进人工神经网络的航天器电信号分类方法[J].北京航空航天大学学报,2016,42(03):596-601.DOI:10.13700/j.bh.1001-5965.2015.0186.

[21] 李可,刘祎,杜少毅,孙毅,王浚.基于PCA和WPSVM的航天器电特性识别方法[J].北京航空航天大学学报,2015,41(07):1177-1182.DOI:10.13700/j.bh.1001-5965.2014.0482.

[22] 王超,李可,杜奔新.虚拟仪器技术在实验室的应用研究[J].实验技术与管理,2013,30(12):105-107.DOI:10.16791/j.cnki.sjg.2013.12.028.

[23] 李可,刘旺开,沈为群,王浚.砂尘风洞试验中粒子系统的OpenGL喷砂模拟[J].微计算机应用,2009,30(04):67-71.

[24] 李可,李运祥,宋世民,刘旺开,王浚.基于DMA模式和多线程技术的振动信号高速采集系统[J].测控技术,2008(06):12-14+17.DOI:10.19708/j.ckjs.2008.06.004.

[25] 李可,刘旺开,王浚.专家-模糊PID在低速风洞风速控制系统中的应用[J].北京航空航天大学学报,2007(12):1387-1390.DOI:10.13700/j.bh.1001-5965.2007.12.010.

[26] 李可,庞丽萍,刘旺开,王浚.环境模拟舱体的建模仿真及控制方法[J].北京航空航天大学学报,2007(05):535-538.DOI:10.13700/j.bh.1001-5965.2007.05.008.

[27] 李可,张继华,刘旺开,王浚.基于专家PID控制和COM技术的计算机分布式温压测控系统[J].计算机应用,2007(04):1003-1005.

联系方式：

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电话：+86 13810609687

Email：like@buaa.edu.cn