师资队伍

Faculty
|

谢龙汉 Xie,Longhan

  • 职称:教授

  • 邮箱:melhxie@scut.edu.cn

  • 行政职务:副院长

  • 工作单位:吴贤铭智能工程学院   

  • 最后学位:工学博士  

  • 邮政编码:510640  

  • 毕业院校:香港中文大学机械与自动化系

  • 办公室:

  • 导师类别:博、硕导  

  • 办公电话:020-81182112

个人简介  

谢龙汉,教授、博士生导师,副院长。主要研究方向为人工智能、智能机器人、智能制造、智能传感器等领域。已获得30多个科研项目资助,发表SCI论文80余篇,获得授权专利30余项,国际专利6项,英文专著2部,国家级教材10余种。担任广东省智能工程国际联合研究中心主任、广东省智能与装备工程技术研究中心主任。广东特支计划青年拔尖人才。2020年度广东省科技进步二等奖(排名第一)。

工作经历  

  • 2010 - 2011年   香港中文大学精密工程研究所 博士后

  • 2011 - 2013年   华南理工大学机械与汽车工程学院 讲师

  • 2013 - 2017年   华南理工大学机械与汽车工程学院 副教授

  • 2017 - 至 今    华南理工大学吴贤铭智能工程学院 教授

教育经历  

  • 1998 - 2002年   浙江大学 学士

  • 2002 - 2005年   浙江大学 硕士

  • 2007 - 2010年   香港中文大学机械与自动化系 博士

研究领域  

  • 人工智能;智能机器人;智能制造;智能传感器;脑机接口。

科研项目  

人工智能算法及应用

面向人体或智能系统的多种信号,如EEG脑电信号、sEMG肌电信号、声音、视觉信号、运动信息等,开发人工智能算法,实现对信号特征的识别、多模态信号的融合分析,实现智能分析和决策以支撑执行系统的动作。实验室具备上述多种信号的商用采集系统,同时自主研发了多款智能传感器,有力的支撑了智能算法的研究和应用。

代表论文  

  • 2021年

  • [1].Zikang Zhou, Binghong Liang, Guowei Huang, Jinjin Nong, Biao Liu, and Longhan Xie*, Individualized Gait Generation for Rehabilitation Robots based on Recurrent Neural Networks,IEEE Transactions on Neural Systems & Rehabilitation Engineering,Accepted.

  • [2].Lie Yang, Yonghao Song, Ke Ma and Longhan Xie*,Motor Imagery EEG Decoding Method Based on a Discriminative Feature Learning Strategy,IEEE Transactions on Neural Systems & Rehabilitation Engineering,Accepted.

  • [3].Lie Yang, Yonghao Song, Ke Ma, Enze Su and Longhan Xie*,A novel motor imagery EEG decoding method based on feature separation,Journal of Neural Engineering,Accepted.

  • [4].Yan Chen, Song Yu, Qing Cai, Shuangyuan Huang, Ke Ma, Haiqing Zheng and Longhan Xie*, A Spasticity Assessment Method for Voluntary Movement using Data Fusion and Machine Learning, Biomedical Signal Processing and Control, vol.65, no.102353, 2021.3. 

  • [5].Yan Chen, Ke Ma, Lie Yang, Song Yu, Siqi Cai, and Longhan Xie, Trunk Compensation Electromyography Features Purification and classification model using Generative Adversarial Network, Biomedical Signal Processing and Control, vol.65, no.102345, 2021.3.  

  • 2020年

  • [1].Longhan Xie, Siqi Cai, Jiehong Li, Xiaodong Li, Ledeng Huang and Guowei Huang,On Energy Harvesting from a Vehicle Damper, ASME/IEEE Transactions on Mechatronics,vol.25, iss.1, 2020.2 [影响因子4.9, SCI Q1]

  • [2].Siqi Cai; Xuyang Wei; Enze Su; Weifeng Wu; Haiqing Zheng; Longhan Xie*, Online compensation detecting for real-time reduction of compensatory motions during reaching: a pilot study with stroke survivors,Journal of NeuroEngineering and Rehabilitation, vol.17, article 58, 2020.4.  [影响因子3.58, SCI Q1] 

  • [3].Siqi Cai, Guofeng Li, Enze Su, Xuyang Wei, Shuangyuan Huang, Ke Ma, Haiqing Zheng and Longhan Xie*, Real-time detection of compensatory patterns in patients with stroke to reduce compensation during robotic rehabilitation therapy, IEEE Journal of Biomedical and Health Informatics, Accepted. DOI. 10.1109/JBHI.2019.2963365 [影响因子4.21, SCI Q1]

  • [4].Song Yu, Yan CHEN, Qing Cai, Ke Ma, Haiqing Zheng, Longhan Xie*,A Novel Quantitative Spasticity Evaluation Method Based on Surface Electromyogram Signals and Adaptive Neuro Fuzzy Inference System,Frontiers in Neuroscience,14, article 462, 2020.5 [影响因子3.65, SCI Q1]

  • [5].Lie Yang, Guanghua Hu, Yonghao Song, Guofeng Li, Longhan Xie*,Intelligent video analysis: A Pedestrian trajectory extraction method for the whole indoor space without blind areas,Computer Vision and Image Understanding, vol.196, article 102968, 2020.7 [影响因子2.645,SCI Q1]

  • [6].Yangjun Lin, Shaoyan Guo, Longhan Xie*, and Gu Xu, Multi-projection of unequal dimension optimal transport theory for generative adversary networks, Neural Networks, vol.128, pp.107-125, 2020.8

  • [7].Yonghao Song, Siqi Cai, Lie Yang, Guofeng Li, Weifeng Wu, Longhan Xie*,A Practical EEG-based Human-Machine Interface to Online Control an Upper-Limb Assist Robot, Frontiers in Neurorobotics , vol.14, article 32, 2020.7

  • [8].Ledeng Huang, Zhenhua Yang, Ruishi Wang, Longhan Xie*, Physiological and biomechanical effects on the human musculoskeletal system while carrying a suspended-load backpack, Journal of Biomechanics, Vol.108, article 109894, July 2020 (IF(2018)=2.576, Q1)

  • [9].Ledeng Huang, Ruishi Wang, Zhenhua Yang, Longhan Xie*,Energy Harvesting Backpacks for Human Load Carriage: Modelling and Performance Evaluation,Electronics, vol.9, issue 7, article 1061, 2020; (IF(2018)=1.76, Q1) 

  • 2019年

  • [6].Longhan Xie*, Guowei Huang, Ledeng Huang, Siqi Cai and Xiaodong Li,An Unpowered Flexible Lower-Limb Exoskeleton: Walking Assisting and Energy Harvesting,ASME/IEEE Transactions on Mechatronics,vol.24, issue5, pp.2236-2247, 2019.10, [影响因子4.9, SCI Q1]

  • [7].Longhan Xie, Xiaodong Li, Siqi Cai, Guowei Huang, Ledeng Huang:Knee-braced energy harvester: Reclaim energy and assist walking,Mechanical Systems and Signal Processing, vol.127, pp.172–189, 2019. [影响因子5.0, SCI Q1]

  • [8].Siqi Cai, Guofeng Li, Xiaoya Zhang, Shuangyuan Huang, Ke Ma, Yan Chen, Haiqing Zheng and Longhan Xie*, Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms, Journal of NeuroEngineering and Rehabilitation, Vol.16, Article No.131, 2019.11 [影响因子3.58, SCI Q1]

  • [9].Ke Ma, Yan Chen, Xiaoya Zhang, Haiqing Zheng, Song Yu, Siqi Cai, and Longhan Xie*,sEMG-based Trunk Compensation Detection in Rehabilitation Training,Frontiers in Neuroscience,vol.13, article 1250, 2019.11。[影响因子3.65, SCI Q1]

  • [10].Siqi Cai, Yan Chen, Shuangyuan Huang, Ke Ma, Yan Wu, Haiqing Zheng, Xin Li, Longhan Xie*, SVM-based classification of sEMG signals for upper-limb self-rehabilitation training,Frontiers in neurorobotics,vol.13, article 31, 2019.06. [影响因子3.0, SCI Q2]

  • [11].Siqi Cai, Guofeng Li, Shuangyuan Huang, Longhan Xie*,Automatic detection of compensatory movement patterns by a pressure distribution mattress using machine learning methods,IEEE Access,vol.7, issue 1, 2019.12 [影响因子4.1, SCI Q1]

  • [12].Shuangyuan Huang, Siqi Cai, Guofeng Li Ke Ma, Yan Chen, Haiqing Zheng and Longhan Xie*, sEMG-based detection of compensation causing by fatigue during rehabilitation therapy: A pilot study, IEEE Access,vol.7, issue 1, pp. 127055-127065, 2019.12. [影响因子4.1, SCI Q1]

  • [13].Yan Chen, Song Yu, Ke Ma, Shuangyuan Huang, Guofeng Li, Siqi Cai, Longhan Xie*, A continuous estimation model of upper limb joint angles by using surface electromyography and deep learning methods, IEEE Access,Vol.7, issue 1, pp. 174940-174950, 2019.12, [影响因子4.1, SCI Q1]

  • 2018年及以前

  • [14].Xie,L.H. Li, J.H, Cai SQ, Li XD: Electromagnetic Energy-Harvesting Damper with Multiple Independently-Controlled Transducers: On-Demand Damping and Optimal Energy Regeneration, ASME/IEEE Transactions on Mechatronics, vol.22, no.6, pp.2705-2713, 2017.12. [影响因子4.9, SCI Q1]

  • [15].Xie, Longhan, Jiehong Li, Xiaodong Li, Ledeng Huang, and Siqi Cai. 'Damping-tunable energy-harvesting vehicle damper with multiple controlled generators: Design, modeling and experiments.' Mechanical Systems and Signal Processing, vol.99, pp. 859-872, 2018. [影响因子5.0, SCI Q1]

  • [16].Xie, Longhan; Li, Xiaodong; Cai, Siqi, Increased energy harvesting from backpack to serve as self-sustainable power source via a tube-like harvester, Mechanical Systems and Signal Processing, vol.96, pp.215-225, 2017. [影响因子5.0, SCI Q1]

  • [17].Xie,L.H. and Cai, M.J.: An In-shoe Harvester with Motion Magnification for Scavenging Energy from Human Footstep Motion, ASME/IEEE Transactions on Mechatronics, vol.20, no.6, 2015.12 10.1109/TMECH.2015.2428618. [影响因子4.9, SCI Q1]

  • [18].Xie,L.H. and Cai, M.J.: Increased Energy Harvesting and Reduced Accelerative Load for Backpacks via Frequency Tuning,Mechanical Systems and Signal Processing,Vol.58-59, pp. 399-415, 2015 [影响因子5.0, SCI Q1]

  • [19].Xie,L.H. and Cai, M.J.: “Develop a Suspended Backpack for Harvesting Biomechanical Energy”, Transactions of ASME:  Journal of Mechanical Design, vol.137, no. 5, 054503. 2015 [影响因子2.8, SCI Q1]

  • [20].Xie,L.H. and Cai, M.J.: Increased Piezoelectric Energy harvesting from human footstep motion by using an amplifying mechanism, Applied Physics Letters, Vol.105, no.14, pp.143901-1~4, 2014.10. [影响因子3.5, SCI Q1]

  • [21].Xie,L.H., Ko, P.H. and Du,R.X.: “ The Mechanics of Spiral Springs and its Application in Timekeeping”, Transactions of ASME: Journal of Applied Mechanics, Vol.81(3), pp.034504, 2013.9. [影响因子2.77,SCI Q1]

  • [22].Xie,L.H. and Du,R.X.: “Frequency Tuning of a Nonlinear Electromagnetic Energy Harvester”, Transactions of ASME:  Journal of Vibration and Acoustics, Vol.136(1), 011010 (Oct 23 2013); [影响因子1.93, SCI Q2]

  • [23].Xie,L.H. and Cai, M.J.: Human Motion: Sustainable Power for Wearable Electronics,IEEE Pervasive Computing, Vol.13, no.4, pp.42-49, Oct.2014. [影响因子3.8, SCI Q1]

研究专利  

  • PCT国际专利

  • [1].一种血管结扎手术装置 PCT/CN2018/124820

  • [2].一种交互式上肢康复训练系统 PCT/CN2018/124825

  • [3].一种沉浸式上肢康复训练系统 PCT/CN2018/124878

  • [4].一种偏瘫上肢代偿运动多模态交互的康复机器人训练系统 PCT/CN2019/114914

  • [5].一种多模态交互的上肢康复机器人训练系统 PCT/CN2019/114915

  • [6].一种偏瘫上肢代偿运动监测与抑制的康复机器人训练系统 PCT/CN2019/114917

  • 授权中国专利

  • [1].一种管状的背包动能捕获装置及其方法,ZL201410753977.0

  • [2].收集人体动能并转换为电能的装置及其方法, ZL201110191997.X

  • [3].一种可自供电的建筑物楼梯照明装置及其方法,201210003444.1

  • [4].一种捕获机械动能并转换为电能的装置及其方法, ZL201210260906.8

  • [5].一种车用减震器及利用该车用减震器发电的装置, ZL201310121651.1

  • [6].一种腕式人体动能捕获装置,ZL201310362907.8

  • [7].一种具有振荡频率可调的人体动能捕获装置, ZL201310362800.3

  • [8].一种可馈能的主动控制型减震器,ZL201310624943.7

  • [9].一种自主运动式胶囊内窥镜及自主运动方法,ZL201410078434.3

  • [10].一种漂浮式微型海浪发电装置及方法,ZL201410111580.1

  • [11].一种可产生能量的馈能减振装置及其能量捕获方法,ZL201510114617.0,

  • [12].可产生电能、主动控制馈能减振装置及其能量捕获方法,ZL201510114592.4

  • [13].一种电池自动充电装置及其方法,ZL201410698357.1

  • [14].一种背包载荷减负装置,ZL201721194524.4

  • [15].一种可调节的背包负重减负装置,ZL201721193909.9

  • [16].收集人体动能并转换为电能的装置,ZL201120241365.5

  • [17].一种可自供电的建筑物楼梯照明装置,ZL201220005137.2

  • [18].捕获低频率小位移压力动能并转换为电能的装置,ZL201220005162.0

  • [19].基于双振动模型的动能捕获装置,ZL201220005139.1

  • [20].可辅助步行的人体生物动能捕获装置,ZL201220005161.6

  • [21].一种捕获机械动能并转换为电能的装置,ZL201220364687.3

  • [22].一种人体动能捕获及机电转换的装置,ZL201220364260.3

  • [23].一种车用减震器及利用该减震器发电的装置, ZL201320175291.9

  • [24].一种可馈能的主动控制型减振器, ZL201320778307.5

  • [25].一种自主运动式胶囊内窥镜,ZL201420098515.5

  • [26].一种可穿戴的人体动能捕获装置,ZL201420122246.1

  • [27].一种可自供电的定位装置, ZL201420135053.X

  • [28].一种漂浮式微型海浪发电装置, ZL201420135045.5

  • [29].一种电池自动充电装置,ZL201420725226.3

  • [30].一种管状的背包动能捕获装置,ZL201420774907.9

  • [31].一种可产生电能、主动控制馈能减振装置,ZL201520148667.6

  • [32].一种可产生能量的馈能减振装置,ZL20152148670.8

  • [33].一种可辅助运动的穿戴式人体动能捕获装置,ZL201420724481.6

  • [34].一种用于上肢康复训练的双臂机器人,ZL201721194360.5

  • [35].一种可穿戴医疗康复助行装置,ZL201721018571.3

  • [36].一种可移动式空间可调节双臂机器人底座装置,ZL201821873973.6

  • [37].一种血管结扎手术装置,ZL201821405473.x

  • [38].一种模拟肌力分级的人体上肢假肢装置,ZL201822107030.9

  • [39].一种沉浸式移动抓取服务机器人硬件系统,ZL201822107029.6

研究平台