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                    Position: Home>Research
                    Research Team

                    Computing Intelligence Technology and System

                    來源:  日期:2020-05-29 15:09:30  點擊量:

                    【Team Name】

                    Computing Intelligence Technology and System

                    【Team direction】

                    Machine learning and data mining, complex system modeling and evolutionary computing, computer vision

                    Brain-like computing, intelligent transportation and autonomous driving, industrial control network security, Internet of Things applications

                    【Team Profile】

                    The "Computer Intelligence Technology and System" team was founded in 2016. At present, there are 4 teachers (including 1 professor and 3 associate professors (3 are all talents introduced by the University of Science and Technology Beijing)), 35 postgraduates (30 master students, Ph.D. 5 students).

                    The team is mainly engaged in artificial intelligence theory and industrial application related to computing intelligence technology and systems. In recent years, he has hosted or participated in 5 national-level projects (including the National Natural Science Foundation of China, National Key R & D Program, and National Science and Technology Support Program, etc.), and more than 10 provincial and ministerial-level projects. The team has maintained good cooperative relations and graduate student exchange mechanisms with foreign and Hong Kong, Macao and Taiwan research institutes including ICDRA of the University of Texas at Dallas, the Intelligent Systems Laboratory of the City University of Hong Kong, and the Humboldt University Laboratory of Germany. At the same time, it has close scientific research cooperation relations with domestic enterprises and institutions such as China Electronics Industry Information Development Research Institute, China Information Security Evaluation Center, Longyuan Power, China Geological Survey Development Research Center, and State Administration of Work Safety Communication Information Center.

                     

                    [Team member] (optional)

                    1. Luo Xiong: Currently a professor (doctoral supervisor) in the Department of Computer Science and Technology, and also serves as the deputy director of the Academic Affairs Department of the University of Science and Technology Beijing. The main research directions include complex system modeling and computational intelligence, data mining and machine learning, cognitive neural networks, and Internet of Things applications. He obtained a doctorate degree from Central South University, engaged in postdoctoral research at Tsinghua University, and is also a visiting scholar at Arizona State University. Now he is an IEEE Senior Member, ADPRLTC member of IEEE Computational Intelligence Society, a senior member of Chinese Computer Society, a member of Intelligent Automation Professional Committee of Chinese Automation Society, a member of Cognitive System and Information Processing Committee of Chinese Artificial Intelligence Society, and an enterprise of Science and Technology Ministry of Education of Guangdong Province Science and Technology Commissioner. In recent years, he has presided over the National Natural Science Foundation of China (4 items) and the National Science and Technology Support Program sub-project (1 item). Published more than 100 academic papers, including nearly 60 SCI journal papers, 7 were selected as ESI Highly Cited Paper (Top 1% Highly Cited Paper), 2 were selected as ESI Hot Papers (Top 0.1% Highly Cited Paper)

                    2. Wang Weiping: Now an associate professor (master tutor) of the Department of Computer Science and Technology, Beijing University of Science and Technology introduces talents. The main research directions include brain-like computing, intelligent transportation, cognitive neural networks, and industrial control network security. He obtained a doctorate degree from Beijing University of Posts and Telecommunications, engaged in postdoctoral research at the University of Science and Technology Beijing, and is also a visiting scholar at Humboldt University in Germany. Now he is a member of the Chinese Computer Society, a member of the Chinese Electronics Society, and a member of the Intelligent Automation Professional Committee of the Chinese Automation Society. In recent years, he has hosted the National Natural Science Foundation of China (1 project) and the China Postdoctoral Foundation (1 project). Published more than 30 academic papers, including nearly 20 SCI journal papers.

                    3. Wang Long: Currently an associate professor (Master's supervisor) of the Department of Computer Science and Technology, "Northern Science Scholar" (Beijing University of Science and Technology). The main research directions include machine learning and data mining, computer vision, energy informatics, etc. Received a master's degree from University College London, UK, and a doctorate degree from City University of Hong Kong. Now he is a member of IEEE Member, IEEE Industrial Electronics Society, IEEE System Committee, China Computer Society, and China Computer Society Computer Vision Committee. He is also the associate editor of IEEE Access in SCI Zone 2 journal and academic editor of PLoS One in SCI Zone 3. In recent years, he has presided over the national basic scientific research business cost project (1 item). Published more than 10 academic papers in TOP journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy.

                    4. Huang Chao: Distinguished Associate Professor (Master's Supervisor) of the Department of Computer Science and Technology, "North Science Scholar" (Beijing University of Science and Technology). The main research directions include machine learning and data mining, complex system control and management, and evolutionary calculations. He obtained a master's degree from France's Compiegne Technical University, a doctorate degree from City University of Hong Kong, and engaged in postdoctoral research at City University of Hong Kong. Now he is a member of IEEE Member, IEEE Energy and Electric Power Society, and Chinese Computer Society. In recent years, he has presided over the national basic scientific research business cost project (1 item). Published more than 10 academic papers in TOP journals such as IEEE Transactions on Industrial Electronics and IEEE Transactions on Sustainable Energy.

                     

                    【Outstanding results】

                    In recent years, the team has hosted or participated in 5 national-level projects (including the National Natural Science Foundation of China, the National Key R & D Program, and the National Science and Technology Support Program, etc.), and more than 10 provincial and ministerial-level projects. Published more than 70 papers in internationally renowned TOP journals including IEEE Transactions on Industrial Electronics, IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, etc. Articles. Many papers were selected into ESI highly cited papers (Top 1% Highly Cited Paper) and ESI hot papers (Top 0.1% Highly Cited Paper). He has won the Excellent Young Paper Award of the Beijing Branch of the IEEE Control System Society, the Excellent Paper Award of the 20th National Automatic Application Technology Academic Exchange Conference, and other awards.

                     

                    【Contact person and contact information】

                    Luo Xiong

                    Email: xluo@ustb.edu.cn or robertxiongluo@gmail.com

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