赵敏，教授/博导，自动化学院副院长。中国人工智能学会会员，重庆市人工智能学会智慧交通专业委员会副秘书长，信息物理社会可信服务计算教育部重点实验室智慧系统与智能控制研究中心智慧交通与智能控制研究所副所长。2010年获重庆大学控制理论与控制工程专业博士学位。
教育背景
1999/9 - 2003/6 重庆大学， 工学学士
2003/9 - 2006/6 重庆大学， 工学硕士
2006/9 - 2010/12 重庆大学，工学博士
专业领域：
人工智能，智能交通
主要研究方向：
计算机视觉与智能图像分析、智能交通系统、交通信息物理系统
主讲课程：
主讲本科，硕士课程多门，涵盖自动控制理论，智能交通系统等。
科研情况简介：
作为课题负责人主持国家“新能源汽车”重点专项重点研发计划项目课题“智能汽车信息物理系统融合建模方法研究” （国拨1000万元）、国家自然科学基金青年、面上项目，以及国家科技支撑计划项目和中国工程院咨询项目子课题，省部级重点项目多项。以第1作者或通信作者发表SCI/EI检索论文20余篇。作为主要完成人，获得教育部科技进步奖二等奖、重庆市科技进步奖二等奖各1项及中国产学研合作创新成果奖1项；获发明专利授权120余项，其中第一发明人40余项。近50%的专利已完成成果转化，在重庆高速公路等大面积推广应用，总体技术国内领先。分别以第4编制人，制定中华人民共和国电子行业标准2项。
论文（选录）
[1] Yicai Zhang, Min Zhao*, Dihua Sun, Shi hui Wang, Shuai Huang, Dong Chen; Analysis of mixed traffic with connected and non-connected vehicles based on lattice hydrodynamic model, Communications in Nonlinear Science and Numerical Simulation, Volume 94, 2021, 105541
[2]. Zhang Y, Zhao M*, Sun D; An extended continuum mixed traffic model. Nonlinear Dynamic, 103, 2021, 1891–1909.
[3] Dong Chen, Min Zhao*, Dihua Sun, Linjiang Zheng, Shuang Jin, Jin Chen; Robust H∞ control of cooperative driving system with external disturbances and communication delays in the vicinity of traffic signals, Physica A: Statistical Mechanics and its Applications, Volume 542, 2020, 123385.
[4] Zhang Yicai, Zhao Min*, Sun Dihua, Zhou Zhaomin, Chen Dong; A new feedback control scheme for the lattice hydrodynamic model with drivers’ sensory memory, International Journal of Modern Physics C, Vol. 32, No. 02, 2021, 2150022.
[5] Yang Li, Min Zhao*, Dihua Sun, Jin Chen, Weining Liu; A new longitudinal car-following control scheme of AVs towards the non-connected situation, Modern Physics Letters B, Vol. 34, No. 13, 2020, 2050135.
[6] Zhou Z, Zhao M*, DH Sun, et al. An extended lattice hydrodynamic model with time delay based on non-lane discipline[J]. Modern Physics Letters B, 2020:2050227.
[7] Zhou Z, Zhao M*, DH Sun, et al.An Extended Mean-Field Lattice Hydrodynamic Model With Consideration of the Average Effect of Multi-Lattice Interaction[J]. IEEE Access, 2019, PP(99):1-1.
[8] Zhao M*, Wang S H, Sun D H, et al. A Car-Following Model Considering Preceding Vehicle's Lane-Changing Process[J]. IEEE Access, 2019, PP(99):1-1.
[9] Zhao H, Sun D, Zhao M, et al. Combined Longitudinal and Lateral Control for Heterogeneous Nodes in Mixed Vehicle Platoon Under V2I Communication[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, PP(99):1-15.
[10] Chen J, Sun D, Zhao M, et al. DCFS-based deep learning supervisory control for modeling lane keeping of expert drivers[J]. Physica A: Statistical Mechanics and its Applications, 2021, 567.
[11] Wan P, D Sun, Zhao M. Producing Stable Periodic Solutions of Switched Impulsive Delayed Neural Networks Using a Matrix-Based Cubic Convex Combination Approach[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, PP(99):1-15.
[12] Yang Li, Dihua Sun, Min Zhao, MPC-based switched driving model for human vehicle co-piloting considering human factors[J]. Transportation Research Part C Emerging Technologies, 2020, 115:102612.
[13] Liu Z, Sun D, Zhao M, et al. CPS-Based Human-Vehicle Co-pilot Switching Strategy Under Different Information Flow Topologies[J]. IEEE Access, 2020, PP(99):1-1.
[14] Consensus Phenomenon and Characteristics of Vehicle Cooperative Driving[J]. Journal of Transportation Engineering Part A Systems, 2020, 146(7):04020054.
[15] Wan P, Sun D, Zhao M. Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control[J]. Neural Networks, 2019, 123.
[16] Wan P, Sun D, Zhao M, et al. Multistability for Almost-Periodic Solutions of Takagi–Sugeno Fuzzy Neural Networks With Nonmonotonic Discontinuous Activation Functions and Time-Varying Delays[J]. IEEE Transactions on Fuzzy Systems, 2019, PP(99):1-1.
[17] Sun D H, Zhang G, Zhao M, et al. Stability analysis of feedforward anticipation optimal flux difference in traffic lattice hydrodynamic theory[J]. Communications in Nonlinear Science and Numerical Simulation, 2018:S1007570417302848.
[18] Yang L Y, Sun D H, Zhao M, et al. The influence of continuous historical velocity difference information on micro-cooperative driving stability[J]. Physica A Statistical Mechanics & Its Applications, 2018, 494:294-301.
[19] He Y, D Sun, Min Z, et al. Cooperative Driving and Lane Changing Modeling for Connected Vehicles in the Vicinity of Traffic Signals: A Cyber-Physical Perspective[J]. IEEE Access, 2018, PP(99):1-1.
[20] Li Y, Sun D, Zhao M, et al. Switched Cooperative Driving Model towards Human Vehicle Copiloting Situation: A Cyberphysical Perspective[J]. Journal of Advanced Transportation, 2018, 2018(PT.1):1-11.
[21] Dong C, Sun D, Zhao M, et al. Weakly nonlinear analysis for car-following model with consideration of cooperation and time delays[J]. Modern Physics Letters B, 2018:1850241-.
[22] Li Y, Min Z, D Sun. A Fast enhancement algorithm of highway tunnel image based on constraint of imaging model[J]. Iet Image Processing, 2018, 12(10):1730-1735.
[23] Min Z, Jian J, Sun D , et al. Vehicle Detection Method Based On Deep Learning and Multi-Layer Feature Fusion[C]// 第30届中国控制与决策会议论文集(5). 2018.
[24] Yang L Y, Min Z, Sun D H , et al. Variable speed limit control scheme for vehicle in the vicinity of signalized intersection[J]. Modern Physics Letters B, 2018:1850218.
[25] Dong C, Sun D, Min Z , et al. Modeling and analyses for an extended car-following model accounting for drivers' situation awareness from cyber physical perspective[J]. Physica A: Statistical Mechanics and its Applications, 2018, 501.
[26] Geng Z, Sun D, Min Z , et al. Stability Analysis of Car-Following Model with Uncertainty in Perceiving Velocity[J]. Springer International Publishing, 2017.
[27] Hui L, Sun D, Min Z. Analysis of traffic flow based on car-following theory: a cyber-physical perspective[J]. Nonlinear Dynamics, 2016, 84(2):881-893.
[28] Liu H, Sun D, Zhao M. A model prediction control based framework for optimization of signaled intersection: A cyber-physical perspective[J]. Optik - International Journal for Light and Electron Optics, 2016, 127(20):10068-10075.
[29] Zhao H, D Sun, Zhao M, et al. A novel CPS-based vehicle safety state evaluation scheme[J]. Transport, 2016, 169(1):12-23.
[30] ) Zhao Min, Sun Di-Hua, and Tian Chuan. Density waves in lattice hydrodynamic traffic flow model with the anticipation effect [J]. Chinese Physics B. 2012(04):619-624.
[31] Min Zhao, Di-hua Sun, and Wan-mei Fan. Hair-color Model and Adaptive Contour Templates Based Head Detection. Proceedings of the 8th World Congress on Intelligent Control and Automation.2010:6104-6108.
[32] Min Zhao, Di hua Sun, Heng pan He. Hair-color modeling and head detection Proceedings of the 7th World Congress on Intelligent Control and Automation.2008:7773-7776.
[33] Dihua Sun, Min Zhao. Automatic passenger counting based on multi-objects recognition using dynamic images. Proceedings of SPIE - The International Society for Optical Engineering, v 6043 I, MIPPR 2005.10.
[34] Dihua Sun, Min Zhao, Liping Fu. A video-based automatic passenger counting technology for transit routes with high passenger volume. Proceedings of 86th Transportation Research Board Annual Meeting, Washington D C, USA 2007.1
[35] Dihua Sun, Hong Luo, Min Zhao etc. An intelligent system for predicting bus arrival time based on GPS data. Transportation Research Record (TRR), Journal of the Transportation Research Board. 2007, No.2034:62-72.
[36] 赵敏,梅登,孙棣华.基于角点集特征的高速公路摄像头监控范围偏差检测[J].华南理工大学学报(自然科学版),2017,45(10):100-107.
[37] 赵敏,石雨新,孙棣华.基于梯度特征的隧道场景车辆灯光干扰抑制方法[J].华南理工大学学报(自然科学版),2016,44(09):94-99.
[38] 赵敏,殷欢,孙棣华,郑林江,何伟,袁川.基于改进人工鱼群算法的柔性作业车间调度[J].中国机械工程,2016,27(08):1059-1065.
[39] 赵敏,孙棣华,樊万梅,刘卫宁.渐消记忆离散GM(1,1)模型及其递推算法[J].计算机科学,2011,38(10):252-255.
[40] 赵敏,常杰,孙棣华.基于ZigBee和ARM的分布式RFID信息采集系统的设计[J].传感器与微系统,2011,30(09):105-108.
[41] 赵敏,廖孝勇,孙棣华,毕俊杰,赖云波.基于GPS浮动车数据的矢量地图校正算法[J].计算机工程与应用,2011,47(17):239-243.
[42] 赵敏,张路,孙棣华,阳树洪.模糊Renyi熵与QGA结合的快速图像分割[J].计算机工程与应用,2011,47(16):172-175.
[43] 赵敏,孙棣华,张路,何恒攀.结合均值偏移和多特征的自动人头识别[J].重庆大学学报,2010,33(06):115-120.
联系方式：
zhaomin@cqu.edu.cn
重庆市沙坪坝区重庆大学虎溪校区科研信息大楼
