Research output per year
Research output per year
Personal profile
Personal profile
Name: Wang Gang Gender: Male Date of birth: 1988.6
Job Title: Professor Job Title: Highest education: Doctor of Engineering
Discipline Direction: Pattern Recognition and Intelligent System
Talent Program: National Youth Talent Office: 812, Building 6, National Defense Science and Technology Park
E-mail: gangwang@bit.edu.cn Contact: 010-68917912
Address: 6-812, Science Park, No. 2A, Xisanhuan North Road, Haidian District, Beijing
Type of Supervisor: Doctoral Supervisor
Job Title: Professor Job Title: Highest education: Doctor of Engineering
Discipline Direction: Pattern Recognition and Intelligent System
Talent Program: National Youth Talent Office: 812, Building 6, National Defense Science and Technology Park
E-mail: gangwang@bit.edu.cn Contact: 010-68917912
Address: 6-812, Science Park, No. 2A, Xisanhuan North Road, Haidian District, Beijing
Type of Supervisor: Doctoral Supervisor
Research Interests
Research Direction
1. Data/Model hybrid drive control and security
2. Multi-agent reinforcement learning and optimal decision making
3. Autonomous intelligent unmanned System
1. Data/Model hybrid drive control and security
2. Multi-agent reinforcement learning and optimal decision making
3. Autonomous intelligent unmanned System
Education
Education and Work Experience
Work Experience:
2020-08 to present, Professor, School of Automation, Beijing Institute of Technology
May 2018- July 2020, University of Minnesota, Postdoctoral, Supervisor: Georgios B. Giannakis Education:
2015-02 to 2018-04, University of Minnesota, Electrical and Computer Engineering, Ph.D., Supervisor: Georgios B. Giannakis
2011-09 to 2018-03, Beijing Institute of Technology, Control Science and Engineering, Ph. D., Supervisor: Chen Jie
2007-09 to 2011-06, Beijing Institute of Technology, Electrical Engineering and Automation, BA
Work Experience:
2020-08 to present, Professor, School of Automation, Beijing Institute of Technology
May 2018- July 2020, University of Minnesota, Postdoctoral, Supervisor: Georgios B. Giannakis Education:
2015-02 to 2018-04, University of Minnesota, Electrical and Computer Engineering, Ph.D., Supervisor: Georgios B. Giannakis
2011-09 to 2018-03, Beijing Institute of Technology, Control Science and Engineering, Ph. D., Supervisor: Chen Jie
2007-09 to 2011-06, Beijing Institute of Technology, Electrical Engineering and Automation, BA
Professional Experience
Education and Work Experience
Work Experience:
2020-08 to present, Professor, School of Automation, Beijing Institute of Technology
May 2018- July 2020, University of Minnesota, Postdoctoral, Supervisor: Georgios B. Giannakis Education:
2015-02 to 2018-04, University of Minnesota, Electrical and Computer Engineering, Ph.D., Supervisor: Georgios B. Giannakis
2011-09 to 2018-03, Beijing Institute of Technology, Control Science and Engineering, Ph. D., Supervisor: Chen Jie
2007-09 to 2011-06, Beijing Institute of Technology, Electrical Engineering and Automation, BA
Work Experience:
2020-08 to present, Professor, School of Automation, Beijing Institute of Technology
May 2018- July 2020, University of Minnesota, Postdoctoral, Supervisor: Georgios B. Giannakis Education:
2015-02 to 2018-04, University of Minnesota, Electrical and Computer Engineering, Ph.D., Supervisor: Georgios B. Giannakis
2011-09 to 2018-03, Beijing Institute of Technology, Control Science and Engineering, Ph. D., Supervisor: Chen Jie
2007-09 to 2011-06, Beijing Institute of Technology, Electrical Engineering and Automation, BA
Research Achievement
Scientific Research Awards
In 2019, won the "Excellent Doctoral Thesis Award" of Chinese Automatics Society
Awarded "Best Conference Paper" by the International Electricity and Energy Association Annual Conference (IEEE PES-GM) in 2019
2017 European Signal Processing Conference (Eusipco) "Best Student Paper Award"
Teaching Achievements
Silver Award of "Internet +" of Ministry of Education in 2020
Fingerprint
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- 6 Similar Profiles
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A Q-learning guided dual population genetic algorithm for distributed permutation flow shop scheduling problem with machine having fuzzy processing efficiency
Zuo, G., Jia, Z., Wu, Z., Shi, J. & Wang, G., 1 Aug 2025, In: Expert Systems with Applications. 285, 127882.Research output: Contribution to journal › Article › peer-review
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Attention enhanced reinforcement learning for flexible job shop scheduling with transportation constraints
Wang, Y., Wang, R., Sun, J., Deng, F., Wang, G. & Chen, J., 5 Jul 2025, In: Expert Systems with Applications. 282, 127671.Research output: Contribution to journal › Article › peer-review
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Data-driven adaptive formation control based on preview mechanism for networked multi-robot systems with communication delays
Chao, C., Tan, H., Zhang, X., Wang, G., Wu, Y. & Wang, Y., 1 Mar 2025, In: Neurocomputing. 620, 129151.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Data-driven control against false data injection attacks
Liu, W., Li, L., Sun, J., Deng, F., Wang, G. & Chen, J., Sept 2025, In: Automatica. 179, 112399.Research output: Contribution to journal › Article › peer-review
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Distributed Flow Shop Scheduling for Heterogeneous Serial Lines with Dueling Double DQN Improved Discrete Particle Swarm Optimization
Jia, Z., Shi, J., Zuo, G., Wang, G. & Xin, B., 2025, (Accepted/In press) In: IEEE Robotics and Automation Letters.Research output: Contribution to journal › Article › peer-review