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Tel:18810063818
E-mail: MJZHANG at tsinghua.edu.cn
张明君教授于1996年获得浙江大学工业自动化工学博士学位,2000年获得美国华盛顿大学(圣路易斯)系统科学和数学/机器人理学博士学位,是美国斯坦福大学生物医学硕士、电子工程硕士,浙江大学机械工程硕士、机械工程学士。先后任美国硅谷安捷伦科技公司精密仪器及生物芯片研发工程师、田纳西大学生物医学工程系副教授(终身)、俄亥俄州立大学生物医学工程系正教授(终身)。2020年全职任教于清华大学,现为生物医学工程学院长聘教授。主要研究方向为微创脑机接口、微纳机器人及生物纳米材料。曾获浙江大学竺可桢奖学金,美国海军研究署年轻科学家奖,IEEE 机器人与自动化学会青年科学家奖。
在微创脑机接口领域,团队自主研发了六个系列生物相容微创神经电极,神经信号采集、放大与无线传输系统,以及高效的神经信号压缩、检测与分类算法,构建了脑机闭环交互控制体系,目前已在小鼠(超1年)、大鼠(超1年)、比格犬(超半年)、巴马猪、狨猴(超1年)、蝙蝠等模式动物上完成原型系统验证,完成 8 例(至2025 年 2 月)由研究者发起的人上临床实验研究。
在微纳机器人领域,团队专注于生物自驱动微纳机器人功能模式研究,突破传统生物体外部控制微纳机器人面临的能量供给与操控限制。首次提出肠驱动被动式微针机器人药物递送模式,利用胃肠道蠕动和微环境响应,实现药物的口服递送;与北京天坛医院王伊龙教授团队合作,首次提出颅骨骨髓免疫细胞给药微纳机器人,借助经“颅-脑免疫微通道”天然入脑捷径和骨髓免疫细胞对脑实质病灶的靶向性,实现中枢神经系统药物递送与疾病治疗。
基于上述研究基础,团队也已开展了微纳机器人给药技术与脑机接口技术的交叉融合研究,探索基于脑神经活动动态调控的多模态闭环微纳机器人给药技术,为中枢神经系统疾病的早期干预提供新的思路。
实验室网页:http://123.57.193.120
1. Tiancheng Sheng, Lingyi Zheng, Jingwei Li, Nianzhen Du, Xiaolong Wang, Mingxiao Xie, Hongru Liu, Cheng’ ao Xu, Huimin Li, Yong Guo, Jing Xu, Lianqing Liu, Mingjun Zhang*. Modular brain-machine interface for neurorecording, neurostimulation, and drug delivery. 2025, Cell Device 3, 100687.
2. Xize Gao, Jiacong Li, Jing Li, Mingjun Zhang*, Jing Xu*. Pain-free Oral Delivery of Biologic Drugs using Intestinal Peristalsis Actuated Microneedle Robots. Science Advances, 2024, 10(1): eadj7067.
3. Zhen Fan, Leming Sun, Yujian Huang, Yongzhong Wang and Mingjun Zhang*. Bioinspired Fluorescent Dipeptide Nanoparticles for Targeted Tumor Imaging and Realtime Monitoring of Drug Release, Nature Nanotechnology, 2016, 11, 388–394.
4. Zhen Fan, Chaochu Cui, Yan Chang, Leming Sun, Fan Yuan, Zui Pan*, and Mingjun Zhang*. Near-infrared Fluorescent Peptide Nanoparticles for Enhancing Esophageal Cancer Therapeutic Efficacy. Nature Communications, 2018, 9, 2605.
5. Kai Tao, Zhen Fan, Leming Sun, Pandeeswar Makam, Zhen Tian, Mark Ruegsegger, Shira Shaham-Niv, Derek Hansford, Ruth Aizen, Zui Pan, Scott Galster, Jianjie Ma, Fan Yuan, Mingsu Si, Songnan Qu, Mingjun Zhang*, Ehud Gazit*, Junbai Li*. Quantum Confined Peptide Assemblies with Tunable Visible to Near-Infrared Spectral Range. Nature Communications, 2018, 9, 3217.
6. Tao Yue, Xinghua Jia, Jennifer Petrosino, Dong Wang, Jesse Fine, Scott Galster, Rebecca Davis, Doug Scharre, Mingjun Zhang*. Computational integration of nano-scale physical biomarkers and cognitive assessments to diagnose and predict the progression of Alzheimer’s disease. Science Advances, 2017, 3, e1700669.
7. S. Lenaghan, C. A. Davis, W. R. Henson, Z. Zhang, and Mingjun Zhang*. High-Speed Microscopic Imaging of Flagella Motility and Swimming in Giardia lamblia Trophozoites. Proceedings of the National Academy of Sciences (PNAS), 2011, 108 (34), 13891–13892.
8. Yang Jia, Gongxin Li, Wenxue Wang*, Jialin Shi, Meng Li, Ning Xi, Mingjun Zhang*, and Lianqing Liu*. A bio-syncretic phototransistor based on optogenetically engineered living cells. Biosensors and Bioelectronics, 2021, 178, 113050.
9. Xinghua Jia, Zongyao Chen, Andrew Riedel, Ting Si, William R. Hamel, Mingjun Zhang*. Energy-efficient Surface Propulsion Inspired by Whirligig Beetles. IEEE Transactions on Robotics, 2015, 31, 1432-1443.
10. Xinghua Jia, Xiaobo Li, Scott Lenaghan, and Mingjun Zhang*. Design of Efficient Propulsion for Nanorobots. IEEE Transactions on Robotics, 2014, 30, 792.
开设课程:
微创脑机接口:理论及实践(全英文授课,Minimally Invasvie Brain-machine Interfaces: Principles and Practices)
非线性神经动力学与生物智能(全英文授课, Nonlinear Neural Dynamics and Biological Intelligence)
技术专利:
1. 2024 Mingjun Zhang, Tiancheng Sheng and Lingyi Zheng, Stimulation Electrode Design and Fabrication, PCT/CN2024/132999.
2. 2022 Mingjun Zhang, Tiancheng Sheng and Mingxiao Xie, Foldable Expandable ECoG Electrode Design and Fabrication for Brain Machine Interface, PCT/CN2022/137957.
3. 2022 Zhang Mingjun, Gao Xize, Li Jiacong, Li Jing, Xu Jing, Xie Mingxiao, Liu Hongru, Ren Longxi. Microneedle drug administration apparatus and preparation method therefor: WO2024/243887 A1.