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个人简介

教育背景 1980.09—1985.07 清华大学精密仪器系本科,获学士学位 1985.09—1988.07 清华大学精密仪器系机械学专业,获工学硕士学位 1991.10—1992.08 东北师范大学留日预备学校进修日语 1992.10—1996.03 日本东京大学工学科精密机械专攻博士课程,获工学博士学位 工作履历 1988.07—1991.09 清华大学精密仪器及机械学系助教、讲师 1996.04—1998.03,日本东京大学精密工学科助理教授 1998.04—今,清华大学精仪系/机械系,副教授/教授 奖励与荣誉 国家工科基础课程教学基地(主任):国家教育部优秀基地(2004) 机械工程实验教学中心(主任):国家教育部示范中心(2008) 机械设计基础理论与实践课程(负责人):北京市精品课程(2003) 北京教育教学成果(高等教育)二等奖1项(2005) 宝钢教育基金优秀教师奖(2004) 北京市教学名师奖(2013) 清华大学教学成果一等奖4项 清华大学教学成果二等奖5项 清华大学实验技术成果一等奖5项 清华大学实验技术成果二等奖3项 清华大学实验技术成果三等奖3项 中国航海学会科技二等奖(2013) 中国康复医学会科技一等奖(2017) 北京医学科技奖二等奖(2018)

研究领域

智能与生物机械及康复工程:康复训练技术与神经康复机器人、助老助残技术与康复辅助器械、竞技体育训练方法与装备;复杂机械系统设计及优化:与生物交叉的机械系统设计与优化方法、人机交互技术,生物融合机器人

近期论文

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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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Sui, J., Liu, Y., Yang, R., & Ji, L. (2014). A multiposture locomotor training device with force-field control. Advances in Mechanical Engineering, 6, 173518. 贾天宇,钱超,李翀,季林红,刘爱贤,方伯言.(2020). 基于个性化导联选择策略的脑机交互康复训练临床初步研究.清华大学学报(自然科学版):1-7. 赵蕾蕾,李翀,季林红,杨铁牛.(2019). 基于虚拟现实的自动驾驶模式中晕动受试者的脑电特征.清华大学学报(自然科学版):1-6. 刘亚丽, & 季林红. (2018). 基于 Simulink 的上肢康复训练人机整体建模与分析. 生物医学工程学, 35(1). 关鑫宇, 季林红, & 王人成. (2017). 无动力储能式截瘫助行外骨骼弹簧刚度优化. 清华大学学报(自然科学版).

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