Zhengcai Cao
Professor
College of Information Science and Technology,
Beijing University of Chemical Technology,
North Third Ring Road 15, Chaoyang District, Beijing, China.
Email：caozc@buct.edu.cn
Biography Sketch
Zhengcai Cao received B.S. degree in automation from Heilongjiang University of Science and Technology in 1996, M.S. degree in electrical engineering and Ph.D. degree in mechatronic engineering from Harbin Institute of Technology, Harbin, China, in 2001 and 2005, respectively. From 2006 to 2008, he was a postdoctoral researcher with the Research Center of Control Science and Engineering, Tongji University. In 2008, he became a faculty member with Beijing University of Chemical Technology, Beijing, China, and now he is a professor. From 2014 to 2015, he was a visiting scholar with King’s College London, London, U.K. From 2017 to 2022, he was a project manager of division 2 of engineering science, Natural Science Foundation of China. He was a senior member of IEEE.
His research interesting includes: 1) intelligent robotic, 2) artificial intelligence and machine learning, and 3)
intelligent Scheduling.
Work experience
2023.09 – Present: Minister of Education's Changjiang Scholar Distinguished Professor
2020.05 – 2023.11: Vice-Dean
Institute of Science and Technology Development,
Beijing University of Chemical Technology, Beijing, China.
2017.03 – 2020.03: Project Manager
Division 2 of Engineering Science,
Department of Engineering and Materials Sciences,
Natural Science Foundation of China, Beijing, China.
2015.09 – 2020.09: Vice-Dean
College of Information Science and Technology,
Beijing University of Chemical Technology, Beijing, China.
2014.03 – 2015.03: Visiting Scholar
King’s College London, London, UK.
2012.01 – Present: Professor
Beijing University of Chemical Technology, Beijing, China.
2008.07 – 2011.12: Associate Professor
Beijing University of Chemical Technology, Beijing, China.
2006.01 – 2008.06: Postdoctoral Fellow
Co-Supervisor: Prof. Qidi Wu,
Tongji University, Shanghai, China.
Selected Funded Projects
[1] The major research plan on ‘‘Research on Basic Theory and Key Technology of Tri-Co Robots” (92148202) — Research on wearable navigation robots for the visually impaired people in a large-scale unknown indoor environment, 2022.1-2025.12.
[2] National Natural Science Foundation of China (52175002) — Autonomous and collaborative operation methods of multiple logistics robots in a closed environment of the epidemic, 2022.1-2025.12.
[3] The Key R&D Plan of the Ministry of Science and Technology (2020YFB1313302) — Autonomous Cooperation Technologies of Heterogeneous Multi-robots in a Dynamic and Opened Environment, 2020.11-2023.10.
[4] Beijing Natural Science Foundation (3202022) — Research on snake-like manipulator innovation mechanism design and compliance control method for operation in space station cabin, 2020.1-2022.12.
[5] Beijing Leading Talents Program (Z191100006119031), 2019.11-2022.11.
Honors & Awards
[1] Chang Jiang Scholars Program, Ministry of Education of the People's Republic of China, 2022.
[2] Second Prize of Excellent Achievement Award (Science and Technology) in Higher Education Natural Science Award, Ministry of Education of the People's Republic of China, 2022.
[3] Second Prize of Technical Invention Award of Mechanical Industry Science and Technology Award, China Federation of Machinery Industry, China Mechanical Engineering Society, 2022.
[4] First Prize of the Chinese Association of Automation's Natural Science Award, Chinese Association of Automation, 2020.
[5] Second Prize of Beijing Higher Education Teaching Achievement Award, Beijing Municipal Education Commission, 2021.
[6] Special Prize of Educational and Teaching Achievements Award, China Federation of Petroleum and Chemical Industry, 2019.
[7] Second Prize of Higher Education Teaching Achievement Award, Chinese Association of Automation, 2021.
[8] First Prize for Outstanding Paper at the 5th Conference on Intelligent Scheduling and Optimization, China Simulation Federation, 2022.
[9] Shanghai Association for Artificial Intelligence Youth Outstanding Paper Award, Shanghai Association for Artificial Intelligence, 2022.
[10] Excellent Final Project, National Natural Science Foundation of China, 2020.
Selected Papers
[1] Zhengcai Cao*, Qing Xiao, Ran Huang, Mengchu Zhou, Robust Neuro-optimal Control of Underactuated Snake Robots with Experience Replay, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(1): 208-217. (Top, IF：10.2)
[2] Zhengcai Cao*, Qing Xiao, Mengchu Zhou*, Distributed Fusion-based Policy Search for Fast Robot Locomotion Learning. IEEE Computational Intelligence Magazine, 2019, 14(3): 19-28. (Top, IF：10.3)
[3] Zhengcai Cao, Chengran Lin, Mengchu Zhou*, Ran Huang*, Scheduling Semiconductor Testing Facility by Using Cuckoo Search Algorithm With Reinforcement Learning and Surrogate Modeling, IEEE Transactions on Automation Science and Engineering, 2019, 16(2): 825-837. (Top，IF：5.9)
[4] Biao Hu, Zhengcai Cao*, Minimizing Resource Consumption Cost of DAG Applications with Reliability Requirement on Heterogeneous Processor Systems. IEEE Transactions on Industrial Informatics, 2020, 16(12): 7437-7447. (Top，IF：11.4)
[5] Meng Zhou, Zhengcai Cao*, Mengchu Zhou*, Jing Wang, Zhenhua Wang, Zonotoptic Fault Estimation for Discrete-Time LPV Systems With Bounded Parametric Uncertainty, IEEE Transactions on Intelligent Transportation Systems, 2020, 21(2): 690-700. (Top，IF：7.9)
[6] Meng Zhou, Zhengcai Cao*, Mengchu Zhou*, Jing Wang, Finite-Frequency H-/H∞Fault Detection for Discrete-Time T-S Fuzzy System with Unmeasurable Premise Variables, IEEE Transactions on Cybernetics, 2021, 51(6): 3017-3026. (Top, IF：9.4)
[7] Biao Hu, Shengjie Xu, Zhengcai Cao*, Mengchu Zhou*, Safety-Guaranteed and Development Cost- Minimized Scheduling of DAG Functionality in an Automotive System, IEEE Transactions on Intelligent Transportation Systems, 2021, 22(10): 6188-6197. (Top，IF：7.9)
[8] Zhengcai Cao*, Chengran Lin, Mengchu Zhou*, Surrogate-assisted Symbiotic Organisms Search Algorithm for Parallel Batch Processor Scheduling, IEEE/ASME Transactions on Mechatronics, 2020, 25(5): 2155-2166. (Top，IF：6.1)
[9] Zhengcai Cao*, Dong Zhang, Mengchu Zhou*, Modeling and Control of Hybrid 3-D Gaits of Snake-Like Robots, IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(10): 4603-4612. (Top, IF：10.2)
[10] Biao Hu, Zhengcai Cao*, Mengchu Zhou*, An Efficient RRT-based Framework for Planning Short and Smooth Wheeled Robot Motion under Kinodynamic Constraints, IEEE Transactions on Industrial Electronics, 2021, 68(4): 3292-3302. (Top，IF：7.5)
[11] Zhengcai Cao*, Xiaowen Xu, Biao Hu, Mengchu Zhou*, Rapid Detection of Blind Roads and Crosswalks by Using a Lightweight Semantic Segmentation Network, IEEE Transactions on Intelligent Transportation Systems, 2021, 22(10): 6188-6197. (Top，IF：7.9)
[12] Zhengcai Cao*, Chengran Lin, Mengchu Zhou*, A Knowledge-based Cuckoo Search Algorithm to Schedule a Flexible Job Shop with Sequencing Flexibility, IEEE Transactions on Automation Science and Engineering, 2021, 18(1): 56-69. (Top，IF：5.9)
[13] Zhengcai Cao, Dong Zhang*, Mengchu Zhou*, Direction Control and Adaptive Path Following of 3-D Snake-Like Robot Motion, IEEE Transactions on Cybernetics, 2022, 52(10): 10980-10987. (Top, IF：9.4)
[14] Chengran Lin, Zhengcai Cao*, Mengchu Zhou*, Learning-Based Grey Wolf Optimizer for Stochastic Flexible Job Shop Scheduling, IEEE Transactions on Automation Science and Engineering, 2022, 19(4): 3659-3671. (Top，IF：5.9)
[15] Zhengcai Cao*, Chengran Lin, Mengchu Zhou*, Chuanguang Zhou, Khaled Sedraoui, Two-Stage Genetic Algorithm for Scheduling Stochastic Unrelated Parallel Machines in a Just-in-Time Manufacturing Context, IEEE Transactions on Automation Science and Engineering, 2022, 20(2): 936-949. (Top，IF：5.9)
[16] Biao Hu, Zhengcai Cao*, MengChu Zhou*, Scheduling Real-Time Parallel Applications in Cloud to Minimize Energy Consumption, IEEE Transactions on Cloud Computing, 2022, 10(1): 662-674. (IF：5.3)
[17] Chengran Lin, Zhengcai Cao*, Mengchu Zhou*, Learning-Based Cuckoo Search Algorithm to Schedule a Flexible Job Shop With Sequencing Flexibility, IEEE Transactions on Cybernetics, 2023, 53(10): 6663-6675. (Top, IF：9.4)
[18] Zhengcai Cao, Junnian Li, Dong Zhang*, Mengchu Zhou*, Abdullah Abusorrah, A Multi-Object Tracking Algorithm With Center-Based Feature Extraction and Occlusion Handling, IEEE Transactions on Intelligent Transportation Systems, 2023, 24(4): 4464-4473. (Top，IF：7.9)
[19] Chengran Lin, Zhengcai Cao*, Mengchu Zhou*, Autoencoder-Embedded Iterated Local Search for Energy-Minimized Task Schedules of Human–Cyber–Physical Systems, IEEE Transactions on Automation Science and Engineering, 2023, DOI: 10.1109/TASE.2023.3267714. (Top，IF：5.9)
[20] Zhengcai Cao, Chengran Lin*, Mengchu Zhou*, Xiaohao Wen, Learning-Based Genetic Algorithm to Schedule an Extended Flexible Job Shop, IEEE Transactions on Cybernetics, 2024, DOI: 10.1109/TCYB.2024.3413054. (Top, IF：9.4)
[21] Hongmin Mu, Gang Zhang, Zhe Ma, Mengchu Zhou*, Zhengcai Cao*, Dynamic Obstacle Avoidance System Based on Rapid Instance Segmentation Network, IEEE Transactions on Intelligent Transportation Systems, 2024, 25(5): 4578-4592. (Top，IF：7.9)
[22] Hongmin Mu, Gang Zhang, Mengchu Zhou, Zhengcai Cao*. End-to-end Semantic Segmentation Network for Low-Light Scenes, IEEE International Conference on Robotics and Automation, 2024, Accepted. （机器人领域顶会）
[23] Zhengcai Cao*, Junnian Li, Jie Niu, Mengchu Zhou. QuerySOD: A Small Object DetectionAlgorithm Based on Sparse Convolutional Network and Query Mechanism, IEEE/RSJ Conference on Intelligent International Robots and Systems, 2024, Accepted. （机器人领域顶会）
[24] Zhengcai Cao*, Ji Xia, Yinbin Shi, Mengchu Zhou. A Lightweight De-confounding Transformer for Image Captioning in Wearable Assistive Navigation Device. IEEE/RSJ Conference on Intelligent International Robots and Systems, 2024, Accepted. （机器人领域顶会）
[25] Zhengcai Cao*, Yiyang Sun, Zhe Ma, Mengchu Zhou. A Context-Enhanced Full-Resolution Floor Plan Segmentation Network for Topological Semantic Mapping, IEEE/RSJ Conference on Intelligent International Robots and Systems, 2024, Accepted. （机器人领域顶会）
Professional societies
[1] Senior Member, IEEE
[2] Member, Secretariat of the Tri-co Robots, National Natural Science Foundation of China
[3] Member, Standing committee of the Tri-co Robots, Chinese Association of Automation
[4] Associate Editor, IEEE Transactions on Cybernetics
[5] Associate Editor, IEEE Transactions on Neural Networks and Learning Systems
[6] Associate Editor, IEEE Transactions on Intelligent Transportation Systems
[7] Associate Editor, IEEE/CAA IEEE/CAA Journal of Automatica Sinica
[8] Associate Editor, Journal of Mechanical Engineering Science
[9] Associate Editor, Control Engineering of China
[10] Vice chairman, Professional Committee of Natural Computing and Intelligent Digital City, Chinese Association for Artificial Intelligence
曹政才，国家重大人才工程特聘教授，首都科技领军人才，北京市高校课程思政教学名师，北京市课程思政教学团队负责人。2005年博士毕业于哈尔滨工业大学，2006-2008年在同济大学从事博士后研究工作，2014-2015年赴King’s College London进行学术访问。
担任Top期刊IEEE Transactions on Cybernetics、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Intelligent Transportation Systems、IEEE/CAA Journal of Automatica Sinica的Associate Editor，“共融机器人基础理论与关键技术研究”重大研究计划秘书组成员，中国人工智能学会自然计算与数字智能城市专业委员会副主任委员。
科研方面：主要研究领域为机器人的机构创成、环境理解和自学习控制，近五年主持国家自然基金委重大研究计划重点支持项目、国家重点研发计划课题、北京市自然科学基金等10余项，以第一/通讯在IEEE汇刊发表30余篇，申请国家发明专利50项，授权软件著作权7项。荣获中国自动化学会自然科学奖一等奖、高等学校科学研究优秀成果奖（科学技术）自然科学奖二等奖、机械工业科学技术奖技术发明奖二等奖。
教学方面：①近五年主持教育部、北京市、校级教改项目10余项；②主讲课程《自动控制原理》入选北京高校“优质本科课程”，《机器人控制技术》入选教育部“拓金计划”和北京市高校课程思政示范课程；③主编《自动控制原理》入选北京高校“优质本科教材”。荣获中国石油和化工教育教学优秀成果特等奖、北京市高等教育教学成果奖二等奖、中国自动化学会高等教育教学成果奖二等奖、北京化工大学研究生教学成果奖一等奖、北京化工大学本科教学成果奖一等奖。
人员招聘
（1）博士后招聘
每年招收博士后1~2名，提供具有竞争力的个人待遇和学校规定的相关福利，参照北京化工大学博士后薪酬政策执行(https://rsc.buct.edu.cn/7908/list.htm)，提供良好的科研环境，支持结合课题组发展方向积极申报国家、省部级研究课题，热烈欢迎有志从事机器人、人工智能研究的优秀青年加入。
（2）博士生/硕士生推免、报考
每年招收博士研究生2~4名、硕士研究生10~12名，提供良好的科研环境和实验条件，欢迎对机器人、人工智能方向感兴趣的同学推免、报考。
有意申请者请将个人简历、学术成果清单及代表性论文等材料发送至邮箱：caozc@buct.edu.cn，符合要求者将尽快安排面试。
团队链接：https://cist.buct.edu.cn/8484/list.htm