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）、中国仪器仪表学会技术发明奖二等奖一项（2023 R1）、军队技术进步三等奖（2017，R2）。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] Shaofan Wang; Yuangan Li; Zhang Tao; Ke Li* “TAGformer: A Multimodal Physiological Signals Fusion Network for Pilot Stress Recognition”[J].IEEE Sensors Journal 2024

[2] 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

[3] 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)

[4] 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.

[5] Wu Y, Li K*, Zhao A et al. Competition and cooperation for multiple solar powered un-manned aerial vehicles under static soaring [J]. Drones, 2023, 7, 653. DOI: https://doi.org/10.3390/drones7110653.

[6] Wu Y, Li K*, Zhao A et al. Intelligent Soaring and Path Planning for Solar Powered Unmanned Aerial Vehicles [J]. Aircraft Engineering and Aerospace Technology.

[7] Li K, Chen XD, Liu HB, Wang SF, Li B. “Performance Analysis of the Thermal Automatic Tracking Method Based on the Model of the UAV Dynamic Model in a Thermal and Cubature Kalman Filter”[J]. Drones. 2023,7(102):102. WOS:000944973700001 DOI:10.3390/drones7020102

[8] BAKAR A, KE L*, LIU H B, et al. “Multi-Objective Optimization of Low Reynolds Number Airfoil Using Convolutional Neural Network and Non-Dominated Sorting Genetic Algorithm” [J]. Aerospace, 2022, 9(1). WOS:000747253100001 DOI: 10.3390/aerospace9010035

[9] Li Y, Li K*, Wang S, Chen X, Wen D. “Pilot Behavior Recognition Based on Multi-Modality Fusion Technology Using Physiological Characteristics”[J]. Biosensors. 2022,12(6).

WOS:000819113000001 DOI: 10.3390/bios12060404

[10] Li K, Li Y, Ma L, Liu M, Wang J. “A Novel Fuzzy-SAE Control Method for an Improved Test Wind Tunnel Simulating Sand/Dust Environment”[J]. Aerospace. 2022,9(12).

WOS:000900216700001 DOI: 10.3390/aerospace9120784

[11] Li K, Wu YS, Bakar A, Wang SF, Li YG, Wen DS. “Energy System Optimization and Simulation for Low-Altitude Solar-Powered Unmanned Aerial Vehicles”[J]. Aerospace. 2022,9(6).WOS:000818330500001 DOI: 10.3390/aerospace9060331

[12] BAKAR A, KE L*, LIU H B, et al. “Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm” [J]. Aerospace, 2021, 8(8). WOS:000688696800001

DOI: 10.3390/aerospace8080228

[13] 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.

[14] LIU Y X, LI K*, ZHANG Y X, et al. “MRD-Nets: Multi-Scale Residual Networks With Dilated Convolutions for Classification and Clustering Analysis of Spacecraft Electrical Signal” [J]. IEEE Access, 2019, 7(171584-171597). WOS:000509374200019 DOI: 10.1109/ACCESS.2019.2947536

[15] LI K, WANG M J, LIU Y X, et al. “A Novel Method of Hyperspectral Data Classification Based on Transfer Learning and Deep Belief Network”[J]. Applied Sciences-Basel, 2019, 9(7). WOS:000466547500114 DOI: 10.3390/app9071379

[16] LI Y, CUI W G, HUANG H, Guo, YZ LI K et al. “Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach”[J]. KNOWLEDGE-BASED SYSTEMS, 2019, 164(7).96-106. WOS:000457508900008 ) DOI: 10.1016/j.knosys.2018.10.029

[17] 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

[18] 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 )

[19] 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

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

[21] 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。

[22] Ke li,Yalei Wu,Yu Nan,Shimin Song ,A novel method for Spacecraft electricalfault detection based on FCM clustering and WPSVM classification with PCAfeature extraction,Journal of Aerospace Engineering ,SCI, 2016。

[23] 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。

[24] 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。

[25] Li,Ke ,Liu, Yi,Wang, Quanxin,Wu, Yalei,Song, Shimin,Sun,Yi,Liu,Tengchong,Wang, Jun,Du, Shaoyi,A Spacecraft Electrical CharacteristicsMulti-Label Classification Method Based on Off-Line FCM Clustering and On-LineWPSVM,PLoS One,SCI 2015,10（11）。

[26]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.

[27]兰巍,贾素玲,宋世民,李可.基于随机森林的航天器电信号多分类识别方法[J].北京航空航天大学学报,2017,43(09):1773-1778.DOI:10.13700/j.bh.1001-5965.2016.0661.

[28]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.

[29]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.

[30]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.

[31]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.

[32]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.

[33]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.

[34]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.

[35]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：

地址:人机与环境工程*重点学科实验室（505实验大楼402）

电话：+86 13810609687

Email：like@buaa.edu.cn