Zeng-Guang Hou
Dr. Hou is a Professor at Institute of Automation, Chinese Academy of Sciences (CAS). He is a VP of Chinese Association of Automation (CAA), VP of the Asia Pacific Neural Network Society (APNNS), BOG member of International Neural Network Society (INNS). Dr. Hou is a Fellow of IEEE and CAA.
Research Areas
- Intelligent control
- Computational intelligence
- Rehabilitation and assistive robotics for the elderly with cognitive and motor impairments
- Medical robots for vascular interventions and surgery
Education
• 03/1997, Ph.D., School of Automation, Beijing Institute of Technology, Beijing, China.
• 12/1993, Master's Degree, School of Automation, Yanshan University, China.
• 07/1991, Bachelor's Degree, School of Automation, Yanshan University, China.
Work Experience
• 06/2004 - present, Professor, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China.
• 10/2012 - present, Chair Professor, School of Artificial Intelligence, University of CAS, Beijing, China.
• 08/2020 - present, Guest Professor, Macau University of Science and Technology (MUST), Macau, China.
• 09/2018 - present, Guest Professor, Beijing University of Science and Technology, Beijing, China.
• 12/2016 - 12/2024, Distinguished Adjunct Professor, Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institute of Neuroscience, CAS, Shanghai, China.
• 09/2003 - 10/2004, Visiting Professor, College of Engineering, University of Saskatchewan, Canada.
• 07/1999 - 05/2004, Associate Professor, Institute of Automation, CAS.
• 05/2000 - 01/2001, Research Assistant, Hong Kong Polytechnic University, Hong Kong, China.
• 05/1997 - 07/1999, Postdoctoral Fellow, Institute of Systems Science, Chinese Academy of Sciences, Beijing, China
Honors & Distinctions
• 05/2023, Dennis Gabor Award, International Neural Network Society (INNS).
• 10/2021, Wu Wen-tsun AI Award (First Class), Chinese Association for Artificial Intelligence (CAAI).
• 09/2021, Technological Invention Award (First Class), Chinese Association of Automation (CAA).
• 03/2021, Gold Medal, International Exhibition of Inventions of Geneva.
• 11/2020, elected as Fellow of CAA (Chinese Association of Automation).
• 11/2018, elected as Fellow of IEEE (Institute of Electrical and Electronics Engineers).
• 05/2015, “Excellence Award for Scientific Research” by Institute of Solid Mechanics, Romanian Academy.
• 11/2017, Outstanding Achievement Award, APNNS.
• 10/2025, Outstanding Postgraduate Supervisor Award, Chinese Academy of Sciences.
• 09/2019, Outstanding Postgraduate Supervisor Award, Chinese Academy of Sciences.
• 03/2010, Yang Jiachi Science and Technology Award (Second Class), Chinese Association of Automation (CAA).
• 06/2023, “Best Paper Award”, Neural Networks (Elsevier), for "Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification".
• 07/2014, “Outstanding Paper Award”, IEEE Transactions on Neural Networks, for "Recurrent neural network for nonsmooth convex optimization problems with application to identification of genetic regulatory networks".
• 08/2025, “Best Conference Paper Award”, International Conference on Biomimetic Intelligence and Robotics (ICBIR), 2025, Zhangye, for "CNN-transformer based temporal-spatial fusion network for EEG-fNIRS hybrid decoding".
• 12/2023, “Best Paper Award”, IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Thailand, 2023, for An original design of robotic-assisted flexible nasotracheal intubation system".
• 07/2022, “Best Paper Award”, IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR), 2022, for "Single camera based gait analysis methods with scaled and image coordinate key-points".
Publications & Patents
Some of Recent Published Papers
[1] Xu, N., Wang, C., Peng, L., Zhou, X., Chen, J., Cheng, Z., Hou, Z.G. (2025) “A graph-based multimodal fusion framework for assessment of freezing of gait in Parkinson's disease”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 33, 1539-1549, 2025. (IF 5.2, Google Scholar citations 4)
[2] Liu, X., Li, G., Zhou, X., Liang, X., Hou, Z.G. (2025) "A weight-aware-based multisource unsupervised domain adaptation method for human motion intention recognition," IEEE Transactions on Cybernetics, 55(7), 3131-3143. (IF 10.5, Google Scholar citations 20)
[3] Su, J., Wang, J., Wang, W., Wang, Y., Bunterngchit, C., Zhang, P., Hou, Z.G. (2024) “An adaptive hybrid brain-computer interface for hand function rehabilitation of stroke patients”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 2950-2960. (IF 5.2, Google Scholar citations 21)
[4] Li, G., Liang, X., Gao, Y., Su, T., Liu, Z., Hou, Z.G., (2024) “A linkage-driven underactuated robotic hand for adaptive grasping and in-hand manipulation”, IEEE Transactions on Automation Science and Engineering, 21(3), 3039-3051. (IF 6.4, Google Scholar citations 37)
[5] Liang, X., Yan, Y., Wang, W., Su, T., He, G., Li, G., Hou, Z.G. (2024), “Adaptive human-robot interaction torque estimation with high accuracy and strong tracking ability for a lower limb rehabilitation robot”, IEEE-ASME Transactions on Mechatronics, 29(6), 4814-4825. (IF 7.3, Google Scholar citations 52.)
[6] Xu, N., Wang, C., Peng, L., and Hou, Z.G., et al, (2024) “Modeling and assessing hip-knee joint coordination based on cyclo-grams using a portable motion capture system”, IEEE Transactions on Medical Robotics and Bionics, 6(1), pp. 245-256.
[7] Ren, S., Wang, W., Hou, Z.G., et al. (2023) “Personalized gait trajectory generation based on anthropometric features using Random Forest”, Journal of Ambient Intelligence and Humanized Computing, 14(12), 15597-15608. (IF 3.66, Google Scholar citations 39)
[8] Fan, J., Wang, X., Zhou, C., Ou, Y., Jing, F., Hou, Z.G., (2023) “Development, calibration, and image processing of underwater structured light vision system: A survey”, IEEE Transactions on Instrumentation and Measurement, 72, 1-18. (IF 5.9, Google Scholar citations 58)
[9] Zhang, L., Liu, S., Xie, X., Zhou, X., Hou, Z.G., et al. (2023) “A novel spatial position prediction navigation system makes surgery more accurate”, IEEE Transactions on Medical Imaging, vol. 42, no. 12, pp.3614-3624.
[10] Zhang, C., Yang, H., Fan, C., Hou, Z.G., et al., (2023) “fNIRS features using Bayesian networks for mild cognitive impairment (MCI) detection”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1019-1029.
[11] Zou, A., Liu, Y., Hou, Z.G., Hu, Z. (2022) Practical predefined-time output-feedback consensus tracking control for multiagent systems, IEEE Transactions on Cybernetics 53(8), 5311-5322. (IF 10.5, Google Scholar citations 112)
[12] Wang, J., Shi, L., Wang, W., Hou, Z.G., (2022) “Efficient brain decoding based on adaptive EEG channel selection and transformation”, IEEE Transactions on Emerging Topics in Computational Intelligence, vol.6, pp. 1314-1323.
[13] Wang C., Peng L., Hou, Z.G., et al., (2022) “A Hierarchical architecture for multisymptom assessment of early Parkinson's disease via wearable sensors”, IEEE Trans on Cognitive and Developmental Systems, 14(4), pp. 1553-1563.
[14] Fan, C., Peng, L., Wang, T., Yang, Zhou, X, Hou, Z.G., (2022) “R-GAN: Multi-session future MRI prediction with temporal recurrent generative adversarial network,” IEEE Trans on Medical Imaging, 41(8), pp. 1925-1937.
[15] Ni, Z., Bian, G, Zhou, X, Li, R, and Hou, Z.G., (2022) “Space squeeze reasoning and low-rank bilinear feature fusion for surgical image segmentation”, IEEE Journal of Biomedical and Health Informatics, 26(7), pp. 3209-3217.
[16] Zhou, X., Xie, X., Liu, S., Feng, Z., Hou, Z.G., (2022) “Surgical skill assessment based on dynamic warping manipulations”, IEEE Transactions on Medical Robotics and Bionics, 4(1), pp.50-61.
[17] Li, R., Xie, X., Zhou, X., Liu, S., Ni, Z., Hou, Z.G., (2022) “A unified framework for multi-guidewire endpoint localization in fluoroscopy images,” IEEE Transactions on Biomedical Engineering, 69(4), pp. 1406-1416.
[18] Gui, M., Zhou, X., Xie, X., Liu, S., Li, H., Hou, Z.G., (2022) “Design and experiments of a novel Halbach-cylinder-based magnetic skin: a preliminary study”, IEEE Trans on Instrumentation and Measurement, 2022, vol. 71, pp. 1-11.
[19] Wang, J., Wang, W., Ren, S., Shi, W., Hou, Z.G., (2022) “Neural correlates of single-task versus cognitive-motor dual-task training”, IEEE Transactions on Cognitive and Developmental Systems, 14(2), pp. 532-540.
[20] Wang, G., Hu, Q., Yang, Y., Cheng, J., Hou, Z.G., (2022) “Adversarial binary mutual learning for semi-supervised deep hashing”, IEEE Trans on Neural Networks and Learning Systems, 33(8), pp. 4110-4124.
[21] Wang, C., Peng, L., Hou, Z.G., et al, (2021) “The assessment of upper-limb spasticity using a portable measurement system”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 2242-2251, 2021.
[22] Li, R, Xie, X., Zhou, X., Liu, S., Ni, Z., Zhou, Y., Hou, Z.G., (2021) “Real-time multi-guidewire endpoint localization in fluoroscopy images”, IEEE Transactions on Medical Imaging, 40(8), pp. 2002-2014.
[23] Cheng, L., Liu, Y., Hou, Z.G., et al, (2021) “A rapid spiking neural network approach with an application on hand gesture recognition”, IEEE Transactions on Cognitive and Developmental Systems, 13(1), pp. 151-161.
[24] Wang, W., Shi, W., Hou, Z.G., et al, (2021) “Prediction of human voluntary torques based on collaborative neuro-musculo-skeletal modeling and adaptive learning”, IEEE Transactions on Industrial Electronics, 68, pp. 5217-5226.
[25] Wang, S., Wang, K., Tang, R., Liu, H., and Hou, Z.G., (2021) “Design of a low-cost miniature robot to assist the COVID-19 nasopharyngeal swab sampling”, IEEE Transactions on Medical Robotics and Bionics, vol. 3, pp. 289-293.
[26] Fan, C., Yang, H., Hou, Z.G., et al, (2021) “Bilinear neural network with 3-D attention for brain decoding of motor imagery movements from the human EEG”, Cognitive Neurodynamics (Springer), 15(1), pp. 181-189.
[27] Wang, G., Yang, Y., Zhang, T., Hou, Z.G., et al, (2020) “Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification”, Neural Networks, 128, pp. 294-304. “Best Paper Award”.
[28] Wang, C., Peng, L., Hou, Z.G., et al, (2020) “Quantitative assessment of upper-limb motor function for post-stroke rehabilitation based on motor synergy analysis and multi-modality fusion”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(4), 943-952. (IF 5.2, Google Scholar citations 90)
[29] Wang, J., Wang, W., Ren, S., Shi, W., Hou, Z.G., (2020) “Engagement enhancement based on human-in-the-loop optimization for neural rehabilitation”, Frontiers in Neurorobotics, vol. 14, 596019.
[30] Wang, J., Wang, W., and Hou, Z.G., (2021) “Towards improving engagement in neural rehabilitation: Attention enhancement based on BCI”, IEEE Trans on Cognitive and Developmental Systems, vol. 12, pp. 787-796.
[31] Wang, A., Cheng, L., Yang, C., Hou, Z.G., (2020) “An adaptive fuzzy predictive controller with hysteresis compensation for piezoelectric actuators”, Cognitive Computation, 12(4), pp. 736-747.
[32] Ren, S., Wang, W., Hou, Z.G., et al, (2020) “Enhanced motor imagery based brain-computer interface via FES and VR for lower limbs”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28, pp. 1846-1855.
[33] Wang, C., Peng, L., Hou, Z.G., et al, (2020) “Quantitative assessment of motor function for post-stroke rehabilitation based on motor synergy analysis”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28, pp. 943-952.
[34] Sun, T., Peng, L., Cheng, L., Hou, Z.G., (2020) “Composite learning enhanced robot impedance control”, IEEE Transactions on Neural Networks and Learning Systems, 31(3), pp. 1052-1059.
[35] Luo, L., Peng, L., Wang, C., and Hou, Z.G., (2019) “A greedy assist-as-needed controller for upper limb rehabilitation”, IEEE Transactions on Neural Networks and Learning Systems, 30(11), pp. 3433-3443.
Research Invention and Patents (some of granted patents)
[1] PCT/US Patent: “Multi-posture lower limb rehabilitation robot”, No.: US10722416B2, Date of Patent: 2020.07.28.
[2] PCT/US Patent: “Method and system for predicting outcomes based on spatio/spectro-temporal data”, No.: US10579925B2, Date of Patent: 2020.3.3.
[3] PCT/US Patent: “Upper limb rehabilitation robot system”, No.: US10596056B2, Date of Patent: 2020.03.24.
[4] PCT/US Patent: “System of functional electrical stimulation”, No.: US8983621B2, Date of Patent: 2015.03.17.
[5] PCT/US Patent: “Catheter manipulating device for vascular intervention”, No.: US10252029B2, Date: 2019.4.09
[6] CN Patent: “A BCI based attention-regulation system”, No.: CN107397648B, Date of Patent: 2019.07.12.
[7] CN Patent: “A hand rehabilitation device and system”, No.: CN107397648B, Date of Patent: 2019.07.12.
[8] CN Patent: “An active training control method for rehabilitation robots”, No.: CN105771182B, Date: 2018.06.29.
[9] CN Patent: “Rehabilitation training method based on impedance control”, No.: CN104644378B, Date: 2017.06.13.
[10] CN Patent: “Fingers and wrist rehabilitation training device”, No.:CN105796285B, Patent Date: 2017.11.21.
[11] CN Patent: “sEMG-based active training control for rehabilitation robots”, No.:CN104492033B, Date: 2017.7.21.
Academic Activities, Leadership & Services
• Vice-President, Chinese Association of Automation (CAA), 2018 - present.
• Vice-President, Asia Pacific Neural Network Society (APNNS), 2020 - 2025.
• BOG member, International Neural Network Society (INNS), 2017 - 2022, 2025 - present.
• Awards Committee Member, IEEE Computational Intelligence Society (CIS), 2024 - 2026.
• Fellow Nomination and Appointment Committee Member, IEEE Computational Intelligence Society (CIS), 2023.
• Chair, Adaptive Dynamic Programming and Reinforcement Learning Technical Committee (ADPRLTC), IEEE CIS, 2017.1 - 2018.12.
• Chair, Neural Networks Technical Committee (NNTC), IEEE CIS, 2015.1 - 2016.12.
• General Chair, 34th International Conference on Neural Information Processing (ICONIP), Bangkok, Thailand, November 2027.
• General Chair, International Conference on Machine Intelligence and Nature-Inspired Computing (MIND), Chongqing, China, November 13-15, 2026.
• NOC Chair, 16th IFAC Symposium on Analysis, Design and Evaluation of Human-Machine Systems (IFAC HMS), Beijing, 2025.
• Program Co-Chair, IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Chengdu, December 3-7, 2025.
• Technical Chair, IEEE Int. Joint Conf. on Neural Networks (IJCNN), Yokohama, Japan, June 30-July 5, 2024.
• Tutorial Chair, IEEE Int. Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, June 18-23, 2023.
• PC Chair, IEEE International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, July 18-22, 2021.
• Chair, IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL), 1-4 December, 2020, Canberra, Australia.
• PC Chair, IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, December 6-9, 2019.
• PC Chair, International Conference on Advanced Computational Intelligence (ICACI), Xiamen, March 29-31, 2018.
• Organization Chair, IEEE World Congress on Computational Intelligence (WCCI), Beijing, China, July 6-11, 2014.
• Associate Editor-in-Chief, Intelligent Sports and Health (ScienceDirect), 2024-present.
• Associate Editor, Neural Networks (Elsevier), 2013-present.
• Associate Editor, IEEE Transactions on Cybernetics, 2014-present.
• Associate Editor, IEEE Transactions on Cognitive and Developmental Systems, 2024-present.
• Associate Editor, IEEE Transactions on Neural Networks and Learning Systems, 2008-2011, 2024-present.
• Associate Editor, Evolving Systems (Springer), 2008-2011, 2023-present.
• Grant Evaluator/Panel Evaluator for National Science Foundation of China, Chinese Ministry of Science and Technology, Hong Kong Research Grant Council.
• PhD external examiner/External reviewer for professional promotion for over 20 universities in numerous countries/regions.
Supervision of Postdoctoral Fellows and Graduate Students
Postdoctoral Fellows
• Jingyao Chen, 01/2026-present, Project Title: Research on Quantitative Motion Analysis for Post-Stroke Rehabilitation.
• Shengda Liu, 09/2021-05/2025, Project Title: Optimization of Physical Human-Robot Interaction via Coupled Updates of an Optimal Control Model. Assistant Professor, Institute of Automation, Chinese Academy of Sciences.
• Peiliang Wu, 09/2017-09/2020, Project Title: Cognition of Everyday Tool Affordances for Domestic Service Robots. Professor and Deputy Dean, School of AI, Yanshan University.
• Tairen Sun, 07/2017-07/2019, Project Title: Rehabilitation Robotics Research. Professor, School of Health Science and Engineering, Professor, Shanghai University of Science and Technology.
• Zhongpu Xia, 07/2017-07/2019, Project Title: Research on Autonomous Driving for Unmanned Vehicles. Research Scientist, Baidu, Inc.
• Dongxu Zhang, 07/2015-07/2017, Project Title: Rehabilitation Robotics Research. Associate Professor, Xiamen University.
• Lina Tong, 05/2011-05/2013, Project Title: Multi-Channel Surface EMG-Based Methods for Human Motion Intention Recognition. Associate Professor, China University of Mining and Technology.
• Qingling Li, 07/2009-07/2011, Project Title: Application of Surface EMG Signals in Rehabilitation Robotic Systems. Associate Professor, China University of Mining and Technology.
Current Graduate Students
• Patrik Molnar (Danish), Master student, 09/2024-06/2027, Project title: Early Diagnosis of Neural Degenerative Diseases for the Elderly via Brain-Computer Interfaces (BCI).
• Dexing Huang, Ph.D. candidate, 09/2024-present, selected for Ph.D. AI Pilot Program of University of CAS.
• Tianyu Xiang, Ph.D. candidate, 09/2023-present, recipient of "2025 IEEE CIS Graduate Student Research Grant".
• Xiyao Ma, Ph.D. candidate, 09/2022-present, recipient of the 2024 “Pandeng Second-Class Scholarship”.
Graduated Students
• Meng Song, Ph.D., 09/2021-06/2025, Dissertation title: Intraoperative Imaging Perception-Based Decision Support Methods for Endovascular Repair of Abdominal Aortic Aneurysm.
• Chayut Bunterngchit, Ph.D., 09/2020-06/2025; Dissertation title: Toward Early Detection of Neurological Disorders: Deep Learning-Based Multimodal Integration and Classification of Hybrid EEG-fNIRS Data.
• Wachirayongyot Thimabut, Ph.D., 09/2018–04/2025, Dissertation title: A Novel Foot Orthosis for Tactile Stimulation in Diabetic Peripheral Neuropathic Patients.
• Meijiang Gui, Ph.D., 09/2019–06/2024, Dissertation title: Multi-dimensional Information Representation of Bionic Tactile Perception System.
• Sheng Chen, Ph.D., 09/2016–06/2024, Dissertation title: Intelligent Early Diagnosis of Cognitive Impairment Based on Multimodal Feature Selection.
• Chenchen Fan, Ph.D., 09/2018–06/2023, Dissertation title: Early Diagnosis of Cognitive Impairment in Older Adults via Multimodal Data Fusion.
• Yanjie Zhou, Ph.D., 09/2017–06/2022, Dissertation title: Vision Perception Methods for Autonomous Navigation of Vascular Interventional Surgical Robots.
• Zhenliang Ni, Ph.D., 09/2017–06/2022, Dissertation title: Key-Region Segmentation Methods for Endoscopic Images in Minimally Invasive Surgery.
• Jiaxing Wang, Ph.D., 09/2016–06/2021, Dissertation title: Engagement Assessment and Enhancement Methods for Neurorehabilitation.
• Chen Wang, Ph.D., 09/2016–06/2021, Dissertation title: Control Strategies and Motor Function Evaluation Methods for Upper-Limb Rehabilitation Robots.
• Guan-an Wang, Ph.D., 09/2015–06/2021, Dissertation title: Feature Representation for Person Re-Identification in Open Scenarios.
• Shixin Ren, Ph.D., 09/2015–06/2021, Dissertation title: Motion Intention Recognition and Active Training Methods for Lower-Limb Rehabilitation Robots.
• Xu Liang, Ph.D., 09/2013–12/2020, Dissertation title: Active-Compliant Human–Robot Interaction Control and Training Strategies for Lower-Limb Rehabilitation Robots.
• Weiguo Shi, M.S., 09/2017–06/2020, Thesis: sEMG-Based Intention Recognition and Safe Human–Robot Interaction for Lower-Limb Exoskeletons.
• Lincong Luo, Ph.D., 09/2014–06/2019, Dissertation title: System Design and Control Methods for an Exoskeleton-Type Upper-Limb Rehabilitation Robot.
• Xiaohu Zhou, Ph.D., 09/2014–06/2019, Dissertation title: Intelligent Analysis and Applications of Complex Natural Manipulation Behaviors in Coronary Interventional Procedures.
• Yudong Wu, M.S., 09/2016–06/2019, Thesis: Guidewire Tracking and Contrast-Agent Detection Methods for Navigation in Interventional Surgical Robots.
• Chengkun Cui, Ph.D., 09/2014–06/2018, Dissertation title: Intelligent Analysis of Lower-Limb Motion Data for Hemiplegic Rehabilitation: Methods and Experiments.
• Jianlong Hao, Ph.D., 09/2012–06/2017, Dissertation title: Haptic Interaction Methods for Surgical Simulators.
• Long Peng, Ph.D., 09/2011–12/2016, Dissertation title: Surface EMG-Based Interactive Control and Evaluation for Rehabilitation Robots.
• Zhanjie Gao, M.S., 09/2013–06/2016, Thesis: Modeling of Guidewires and Catheters for Virtual Vascular Interventional Surgery Under Large Flexible Deformations.
• Zhenqiu Feng, Ph.D., 09/2010–06/2016, Dissertation title: Design and Control of a Master–Slave Minimally Invasive Vascular Interventional Surgical System.
• Fan Yang, Ph.D., 09/2008–12/2014, Dissertation title: Key Technologies for Constructing Anatomical Environments in Coronary Intervention Simulation.
• Jin Hu, Ph.D., 09/2009–12/2014, Dissertation title: Motion Training Strategies and Interactive Control for a Sit-to-Stand Lower-Limb Exoskeleton Rehabilitation Robot.
• Shaohua Mi, Ph.D., 09/2010–12/2014, Dissertation title: Virtual Simulation of Guidewires and Catheters for Vascular Interventional Surgery.
• Weiqun Wang, Ph.D., 09/2011–06/2014, Dissertation title: Mechanism Design and Human–Robot System Dynamics Identification for a Sit-to-Stand Lower-Limb Rehabilitation Robot.
• Yixiong Chen, Ph.D., 09/2008–06/2014, Dissertation title: Design and Control of Lower-Limb Rehabilitation Robots Based on Functional Electrical Stimulation and Biosignal Feedback.
• Feng Zhang, Ph.D., 09/2007–06/2012, Dissertation title: Active–Passive Training Control Methods for Sit-to-Stand Lower-Limb Rehabilitation Robots.
• Cheng Ji, Ph.D., 09/2006–12/2011, Dissertation title: Localization and Navigation of Minimally Invasive Vascular Interventional Surgical Robots.
• Xiaoliang Xie, Ph.D., 09/2006–06/2011, Dissertation title: Design and Human–Robot Interactive Control of Minimally Invasive Vascular Interventional Surgical Robots.
• Pengfeng Li, Ph.D., 09/2005–06/2010, Dissertation title: Control Systems of Rehabilitation Robots for Paraplegic Patients Based on Human Musculoskeletal Models.
• Long Cheng, Ph.D., 09/2004–06/2009, Dissertation title: Consensus Control of Multi-Agent Systems with Complex Dynamics and Applications.
• Tao Yang, Ph.D., 09/2005–06/2009, Dissertation title: Robust Active Vibration Isolation Control Based on a Stewart Parallel Mechanism.
• Xiao Liang, Ph.D., 09/2003–06/2008, Dissertation title: DSP-Based Embedded Vision System Development and Object Tracking Methods.
• Siyao Fu, Ph.D., 09/2003–06/2008, Dissertation title: Key Navigation Problems for Vision-Based Overhead Transmission Line Inspection Robots.
• Anmin Zou, Ph.D., 09/2002–06/2007, Dissertation title: Adaptive Fuzzy Control of Nonholonomic Mobile Robots with Uncertainties.