School of Mechanical Engineering
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Name: Lizhi Pan
Gender: Male
Talent plan:
Professional title: Associate Professor
Post:
Institution: Institute of Robotics and Automobile Specialty: Mechanical Engineering
Email: melzpan@tju.edu.cn Personal website:
Tel: Fax:
Office: Bldg 37, 135 Yaguan Rd., Tianjin, 300354, China
Education: 09/2010-06/2016, Mechanical Engineering, Shanghai Jiao Tong University, Ph.D.
09/2006-06/2010, Mechanical Engineering and Automation, Wuhan University, B.S.

Academic experience: 08/2016-11/2019, Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Post-doctoral Research Associate

Research interest: 1. Surgical Robots; 2. Bio-mechatronics

Teaching:

Academic position: Member of Professional Reviewer: IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural System and Rehabilitation Engineering, IEEE Transactions on Cybernetics, IEEE Transactions on Human-Machine Systems, Scientific Reports, Journal of Neural Engineering, Journal of NeuroEngineering and Rehabilitation, IEEE Journal of Biomedical and Health Informatics, Medical & Biological Engineering & Computing, PLOS ONE, Frontiers in Neuroscience, BioMed Research International, Journal of Ambient Intelligence & Humanized Computing, IEEE International Engineering in Medicine and Biology Conference.

Academic achievement:

Research projects:

Selected publications: Journal Publications:
1. Pan L.Z., Zhang D.G., Sheng X.J., Zhu X.Y., “Improving Myoelectric Control for Amputees through Transcranial Direct Current Stimulation”. IEEE Trans. on Biomed. Eng., 2015, 62(8):1927-1936.
2. Pan L.Z., Zhang D.G., Jiang N., Sheng X.J., Zhu X.Y., “Improving Robustness against Electrode Shift of High Density EMG for Myoelectric Control through Common Spatial Patterns”, Journal of Neuroengineering and Rehabilitation, 2015, 12(1): 1.
3. Pan L.Z., Zhang D.G., Jiang N., Sheng X.J., Zhu X.Y., “Transcranial direct current stimulation versus user training on improving online myoelectric control for amputees”, Journal of Neural Engineering, 2017, 14: 046019.
4. Pan L.Z., Crouch D., Huang H., “Myoelectric Control based on a Generic Musculoskeletal Model: A Multi-User Neural-Machine Interface”, IEEE Trans. Neural Syst. Rehabil. Eng., 2018, 26(7):1435-1442.
5. Pan L.Z., Crouch D., Huang H., “Comparing EMG-based Human-machine Interfaces for Estimating Continuous, Coordinated Movements”, IEEE Trans. Neural Syst. Rehabil. Eng., 2019, 27(10):2145-2154.
5. Pan L.Z., Zhang D.G., Liu J.W., Sheng X.J., Zhu X.Y., “Continuous Estimation of Finger Joint Angles under Different Static Wrist Motions from Surface EMG Signals”, Biomedical Signal Processing and Control, 2014, 14: 265-271.
6. Pan L.Z., Yang Z., Zhang D.G., “A Structurally Decoupled Mechanism for Measuring Wrist Torque in Three Degrees of Freedom”, Review of Scientific Instruments, 2015, 86(10): 10431.
7. Crouch D., Pan L.Z., Filer W., Stallings J., Huang H., “Comparing Surface and Intramuscular Electromyography for Real-Time Control of a Musculoskeletal Model-based Neural-Machine Interface: A Pilot Study”, IEEE Trans. Neural Syst. Rehabil. Eng., 2018, 26(9):1735-1744.
8. Pan L.Z., Zhang D.G., Sheng X.J., Zhu X.Y., “Continuous Estimation of Wrist Torque from Surface EMG Signals Using Path-dependent Model”, Chinese Journal of Biomedical Engineering (English Edition), 2014, 23(4):159-164.

Conference Proceedings:
1. Pan L.Z., Zhang D.G., Sheng X.J., Zhu X.Y., “Residuals of Autoregressive Model Providing Additional Information for Feature Extraction of Pattern Recognition-based Myoelectric Control”, Proceedings of 37th Annual International Conference of the IEEE EMBS, 2015: 7270-7273.
2. Pan L.Z., Zhang D.G., Sheng X.J., Zhu X.Y., “Rate-dependent Hysteresis in the EMG-Force Relationship: A New Discovery in EMG-Force Relationship”, Proceedings of 7th International IEEE EMBS Conference on Neural Engineering (NER), 2015: 820-823.
3. Pan L.Z., Zhang D.G., Duan R.Q., Zhu X.Y., “Can Transcranial Direct Current Stimulation Enhance Performance of Myoelectric Control for Multifunctional Prosthesis?”, Proceedings of 36th Annual International Conference of the IEEE EMBS, 2014: 3566-3569.
4. Pan L.Z., Sheng X.J., Zhang D.G., Zhu X.Y., “Simultaneous and Proportional Estimation of Finger Joint Angles from Surface EMG Signals during Mirrored Bilateral Movements”, Proceedings of 6th International Conference on Intelligent Robotics and Applications, 2013, 1: 502-508.
5. Pan L.Z., Sheng X.J., Zhang D.G., Zhu X.Y., “A Linear Model for Simultaneously and Proportionally Estimating Wrist Kinematics from EMG during Mirrored Bilateral Movements”, Proceedings of 35th Annual International Conference of the IEEE EMBS, 2013: 4593-4596.
6. Pan L.Z., Crouch D., Huang H., “Musculoskeletal Model for Simultaneous and Proportional Control of 3-DOF Hand and Wrist Movements from EMG”, Proceedings of 8th International IEEE EMBS Conference on Neural Engineering (NER), 2017: 325-328.
7. Pan L.Z., Harmody A., Huang H., “A Reliable Multi-User EMG Interface Based on A Generic-Musculoskeletal Model against Loading Weight Change”, Proceedings of 40th Annual International Conference of the IEEE EMBS, 2018: 2104-2107.

School of Mechanical Engineering
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