Min，Zhao, Associate Professor of Chongqing University, China

She received her Ph.D. degree in control science and engineering from Chongqing University, Chongqing, China, in 2010. She is currently the Associate Professor of the School of Automation, Chongqing University, Chongqing, China, and the deputy director of intelligent transportation and Intelligent Control Research Institute of intelligent system and Intelligent Control Research Center of Information Physics Society Trusted Service Computing Ministry of Education Key Laboratory.

Associate Prof. Min Zhao has made original contributions in Image Processing and Intelligent Transportation System, which can be assessed by her publications (over 20 papers) in prestigious international journals, including Communications in Nonlinear Science and Numerical Simulation, Nonlinear Dynamic. She also held 40 patents.

Contact Information

Telephone: +86-23-65106953, +86-23-65106953

Fax: +86-23-65106953

Email: zhaomin@cqu.edu.cn

Address:Shazheng Street174#, Shapingba District,Chongqing, 400044,China

Education

Ph.D.,(E.E.), Chongqing University, University, 1992.

M.S.,(E.E.), Chongqing University, P. R. China, 1985.

B.S.,(E.E.), Chongqing University, Chengdu P. R. China, 1983.

Academic Experience

Associate Professor, 7/2008-8/2012, Chongqing University, Chongqing, P. R. China

Lecturer, 12/2006– 8/2008, Chongqing University, Chongqing, P. R. China

Research Interests

Image Processing

Intelligent Transportation System

Publications

Part I – Books

Part II – Referred Journal Papers (selected)

[1] 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.

[2] 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.

[3] Zhang Y, Zhao M*, Sun D; An extended continuum mixed traffic model. Nonlinear Dynamic, 103, 2021, 1891–1909.

[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.

Part III- Conference Papers

Over 10 Conference papers including Conference on Decision and Control (CDC), American Control Conference (ACC), IFAC, Chinese Conference on Control and Decision (CCDC) , Chinese Control Conference (CCC), IEEE NN, etc.

Patents

Hold over 40 patents

Research Grants

Received over 15 research grants/awards amounting to approximately $1M.

Awards/Honors

· Ministry of Education of the People's Republic of China, Science and Technology Progress Award, Second Prize, 2012

· Chongqing Science and Technology Committee, Science and Technology Progress Award, Second Prize, 2011

· China Intelligent Transportation Association, Science and Technology Award, Second Prize, 2018