Linhong Ji

Professor

Address: Lee shau kee sci&tech bldg. A1029

Tel: 010-62773470

E-mail: jilh@tsinghua.edu.cn

属性1 Professor 属性2 Address: Lee shau kee sci&tech bldg. A1029
属性3 Tel: 010-62773470 属性4 E-mail: jilh@tsinghua.edu.cn
属性5 属性6
Education background

1980.09—1985.07 B.S. of Mechanical Engineering from Tsinghua University, China

1985.09—1988.07 M.S. of Mechanical Engineering from Tsinghua University, China

1991.10—1992.08 Japanese Learning from Northeast Normal School, China

1992.10—1996.03 Ph.D. of Mechanical Engineering from Tokyo University, Japan

Experience

1988.07—1991.12 Teacher Assistant of the Department of Precision Instrument and Mechanology, Tsinghua University

1992.01—1992.09 Lecturer of the Department of Precision Instrument and Mechanology, Tsinghua University

1996.04—1997.09 Research Assistant Professor, Post Doctoral Research of the Department of Precision Engineering (Ministry of Education, Culture, Sports, Science and Technology – Japan)

1998.01—2003.11 Associate Professor of the Department of Precision Instrument and Mechanology , Tsinghua University

2003.12—2012.12 Full Professor of the Department of Precision Instrument and Mechanology - Institute of Mechanical Design, Tsinghua University

2013.1—Present Full Professor of the Department of Mechanical Engineering - Institute of Mechanical Design, Tsinghua University

Teaching work

Modern Design Technology (Undergraduates), Mechanical Design and Practice (Undergraduates), Enterprise Practice (Undergraduates at XinYa College), Innovative design and practice(Undergraduates at XinYa College), Modern Mechanical Design Theory and Method (Graduates)

Areas of Research Interests/ Research Projects

Intelligent and biomimetic machinery and rehabilitation engineering: Rehabilitation training technology and neurorehabilitation robotics, Assistive technology for the aged and disabled and assistive systems, Competitive sports training methods and equipment

Complex mechanical system design and optimization: Biomimetic machinery design and optimization methods, human machine interaction technology, bio-robotics

Papers and Patents

Selected publications:

1. Jia, T., Liu, K., Lu, Y., Liu, Y., Li, C., Ji, L., & Qian, C. (2020). Small-Dimension Feature Matrix Construction Method for Decoding Repetitive Finger Movements From Electroencephalogram Signals. IEEE Access, 8, 56060-56071.

2. Li, Y., Guan, X., Han, X., Tang, Z., Meng, K., Shi, Z., ... & Ji, L. (2020). Design and preliminary validation of a lower limb exoskeleton with compact and modular actuation. IEEE Access, 8, 66338-66352.

3. Li W, Li C, Xiang Y, Ji L, Hu H, Liu Y. (2019). Study of the activation in sensorimotor cortex and topological properties of functional brain network following focal vibration in healthy subjects and subacute stroke patients: an EEG Study. Brain research, 1722, 146338.

4. Guang, H., & Ji, L. (2019). Proprioceptive recognition with artificial neural networks based on organizations of spinocerebellar tract and cerebellum. International journal of neural systems, 29(07), 1850056.

5. Wang, K., Lu, Y., Cheng, J., & Ji, L. (2019). Prediction of residual clamping force for Coulomb type and Johnsen–Rahbek type of bipolar electrostatic chucks. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(1), 302-312.

6. Liu, F., Liu, Y., Lu, Y., Wang, Z., Shi, Y., Ji, L., & Cheng, J. (2019). Electrical analysis of triboelectric nanogenerator for high voltage applications exampled by DBD microplasma. Nano energy, 56, 482-493.

7. Guang, H., Ji, L., & Shi, Y. (2018). Focal vibration stretches muscle fibers by producing muscle waves. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(4), 839-846.

8. Liu, Y., Hong, Y., & Ji, L. (2018). Dynamic Analysis of the Abnormal Isometric Strength Movement Pattern between Shoulder and Elbow Joint in Patients with Hemiplegia. Journal of healthcare engineering, 2018.

9. Cheng, J., Ding, W., Zi, Y., Lu, Y., Ji, L., Liu, F., ... & Wang, Z. L. (2018). Triboelectric microplasma powered by mechanical stimuli. Nature communications, 9(1), 1-11.

10. Ma, Q., Ji, L., & Wang, R. (2017). The development and preliminary test of a powered alternately walking exoskeleton with the wheeled foot for paraplegic patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(2), 451-459.

11. Li, C., Rusák, Z., Horváth, I., Kooijman, A., & Ji, L. (2017). Implementation and validation of engagement monitoring in an engagement enhancing rehabilitation system. IEEE Transactions on Neural Systems & Rehabilitation Engineering. 25(6), 726-738.

12. Guan, X., Kuai, S., Ji, L., Wang, R., & Ji, R. (2017). Trunk muscle activity patterns and motion patterns of patients with motor complete spinal cord injury at T8 and T10 walking with different un-powered exoskeletons. The journal of spinal cord medicine, 40(4), 463-470.

13. Cao, M., Lu, Y., Cheng, J., & Ji, L. (2016). Electron heating enhancement due to plasma series resonance in a capacitively coupled RF discharge: Electrical modeling and comparison to experimental measurements. Japanese Journal of Applied Physics, 55(9), 096201.

14. Li, C., Rusák, Z., Horváth, I., & Ji, L. (2014). Influence of complementing a robotic upper limb rehabilitation system with video games on the engagement of the participants. International Journal of Rehabilitation Research, 37(4), 334-342.

15. Sui, J., Liu, Y., Yang, R., & Ji, L. (2014). A multiposture locomotor training device with force-field control. Advances in Mechanical Engineering, 6, 173518.

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