李敏（Li Min, Professor），1986年7月出生于江苏省扬州市，分别于2008年6月和2011年6月获得华中科技大学机械设计及其自动化专业学士学位和机械电子硕士学位，2017年12月获得美国佐治亚理工学院机械工程系哲学博士学位。2018年8月至2023年7月就职于明尼苏达州立大学机械学院, 任职助理教授，副教授。

       主要探讨在机电系统中磁、电等多物理场的高效建模方法，并围绕智能制造需求，从事智能电磁传感、驱动、控制系统的开发及其在加工在线感知、机器人驱动、生物机电等相关方面的研究。作为负责人或骨干成员，承担了973国家重点基础研究，美国自然科学基金，国家自然科学基金海外优秀青年基金，明尼苏达州立大学基金，及Thin film Technology Corporation企业项目等。在 IEEE Trans. Industrial Informatics (TII), IEEE/ASME Trans. on Mechatronics (TMech), IEEE Trans. on Instrumentation and Measurement (TIM), IEEE Trans. on Magnetics等本领域权威期刊及会议发表文章20余篇。获授权发明专利4项。入围 2015 年IEEE/ASME AIM 最佳会议论文，获得2015年度 ASME Dynamic System and Control Division (DSCD) 最佳机电论文奖(ASME DSCD 支持的ACC, AIM, ASCC, ISFA和IFAC 会议文章中最佳机电论文）。入围2021年Journal of Intelligent Robotics and Applications (IJIRA) 最佳期刊论文奖。2020-2021年度优秀教师奖（Outstanding Faculty Award）。2022年入选国家级海外高层次（青年）、华中卓越学者（特聘岗）人才计划。担任期刊IJIRA客座编辑。多次应邀在IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) 和 ASME Modeling, Estimation, and Control Conference (MECC) 组织workshop，担任会议编委，并做专题报告。长期担任IEEE Trans. Industrial Electronics （TIE）,TII, TMech, TIM等高水平期刊审稿人。

科研项目

[1] 国家优秀青年科学基金（海外），2023/09-2026/08，在研，主持。
[2] 10Hz 测量系统建模、仿真与控制实现，Thin film Technology Corporation，2021.01-2023.06, 结题，主持。
[3] 基于多线圈的涡流实时控制及其在金属增材制造实时缺陷检测中的应用，Minnesota State University, 2020.01-2021.12， 结题，主持。
[4] 一种基于多传感器融合自主扫雪机器人设计与开发，Minnesota University System, 2021.08-2023.05， 结题，主持.
[5] 使用多目标传感方法进行金属增材制造和薄壁加工的同步物理场重建和属性识别，U.S. National Science Foundation，2017.06-2021.07, 结题，骨干成员
[6] 基于多模式感知的视障人士移动技能获取与学习，U.S. National Science Foundation，2017.06-2021.07, 结题，骨干成员

论文专著与专利

[1] M. Li, K. M. Lee, and E. Hanson, "Sensor Fusion based on Embedded-Measurements for Real-time three-DOF Orientation Motion Estimation of a Weight-Compensated Spherical Motor," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-9, 2022

[2] M. Li, K. M. Lee, H. J. Hao, and I. Chang, "Model-Based Reconstruction of 2D Geometrical Features using Eddy Current Testing," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-10, 2022.

[3] M. Li, and S. Bakr, "Development of Sensing System for 3-Dimensional Mapping of Underground Optic Fiber Cable Conduit," Journal of Control and Decision, DOI: 10.1080/23307706.2021.1960647.

[4] M. Li, "Distributed-Parameter Control System Using Electromagnetic Neural Stimulation for Human-Machine Perception Interface," Journal of Control and Decision, vol. 9, no. 1, pp. 23-34, 2022.

[5] M. Li, and J. Ammanabrolu, "Indoor Way-Finding Method Using IMU and Magnetic Tensor Sensor Measurements for Visually Impaired Users," International Journal of Intelligent Robotics and Applications, vol. 5, no. 2, pp. 264-282, 2021.

[6] M. Li and K. M. Lee, " Machine Perception based on Eddy Current for Physical Field Reconstruction of Conductivity and Hidden Geometrical Features," IEEE Transactions on Industrial Informatics, vol. 15, no. 10, pp. 5392-5403, Oct. 2019.

[7] K. M. Lee, B. J. Hao, M. Li, and K. Bai, " Multi-target Eddy-current Sensor Design for Conductivity Estimation and Simultaneous Distance and Thickness Measurements," IEEE Transactions on Industrial Informatics, vol. 15, no. 3, pp. 1647-1657, Mar. 2019. 

[8] K. M. Lee, M. Li and C. Y. Lin, "Magnetic Tensor Sensor and Way-Finding Method Based on Geomagnetic Field Effects with Applications for Visually Impaired Users," IEEE/ASME Transactions on Mechatronics, vol. 21, no. 6, pp. 2694-2704, Dec. 2016.

[9] K. M. Lee, C. Y. Lin, B. Hao and M. Li, "Coupled Parametric Effects on Magnetic Fields of Eddy-Current Induced in Non-Ferrous Metal Plate for Simultaneous Estimation of Geometrical Parameters and Electrical Conductivity," IEEE Transactions on Magnetics, vol. 53, no. 10, pp. 1-9, Oct. 2017.

[10] K. M. Lee and M. Li, "Magnetic Tensor Sensor for Gradient-Based Localization of Ferrous Object in Geomagnetic Field," IEEE Transactions on Magnetics, vol. 52, no. 8, pp. 1-10, Feb. 2016. 

荣誉获奖

[1] 2021年IJIRA  最佳期刊论文奖 finalist
[2] 2020-2021年度优秀教师奖（Outstanding Faculty Award）
[3] 2015年ASME DSCD 最佳机电论文奖
[4] 2015 年IEEE/ASME AIM 最佳会议论文 finalist