Su Chong (Ph. D . , Associate Professor, Visiting Scholar of Johns Hopkins University)
Cumulative guidance of Master students: 10
Mailing address: Room 617, Science and Technology Building, Beijing University of Chemical Technology, 15 Beisanhuan East Road, Chaoyang District, Beijing (100029)
Email：suchong@mail.buct.edu.cn
Teaching courses
Course Names | Orienting students |
Process Control Engineering | Undergraduates |
Process Measurement and Control Technology | Undergraduates |
Python Programming and designing | Undergraduates |
Control engineering course designing | Undergraduates |
Research Projects
Project Names | Project sources |
Research on multi-modal acupuncture technique recognition method integrating visual and tactile perception, 2021/01-2024/12, under research, (PI) | National Natural Science Foundation of China. |
Research on acupuncture technique recognition system based on PVDF flexible skin sensor, 2020/10-2022/09, under research, (PI) | Municipal planning project of Beijing Administration of Traditional Chinese Medicine |
Research on the Evolutionary Method of Group Intelligence Learning for Rehabilitation and Treatment of Swallowing Dysfunction, 2017/01-2019/12, completed, (PI) | National Natural Science Foundation of China Youth Project |
Research on Group Decision-Making Method for Smart Chinese Medicine Rehabilitation System, 2016/01-2017/12, completed, (PI) | Beijing Talent Fund Project |
Blue smart city construction theory and method research based on open complex giant systems, 2016/01-2016/12, (PI) | Open project of the State Key Laboratory of Complex System Management and Control, Institute of Automation, Chinese Academy of Sciences |
Research Papers
[1] Peng Cheng, Su Chong*. A Multi-agent Affective Interactive MAGDM Approach and Its Applications. Expert Systems, 10.1111/exsy.12480.
[2] Jiang Bing-Xu, Su Chong*, Liu Cun-Zhi, Chen Jie. Acupuncture sequential scheming method with hybrid knowledge and MCTS. Acta Automatica Sinica, 2020, 46(6): 1240−1254
[3] Chong Su, Jie Chen. A kind of affective computing MAGDM method with its applications. Journal of nonlinear and convex ****ysis, 2019, 20(5): 905-921
[4] Su Chong, Gao Yue, Jiang Bingxu, Li Hongguang*. An Affective Cognition based Approach to Multi-attribute Group Decision Making. Intelligent & Fuzzy Systems, 2018, 35(1):11-33
[5] GAO Yue, SU Chong*, LI Hong-Guang. A Kind of Deep Belief Networks Based on Nonlinear Features Extraction with Application to PM2.5 Concentration Prediction and Diagnosis. ACTA AUTOMATICA SINICA, 2018, 44(2): 318-329
[6] SU Chong, GAO Yue, LI Hong-Guang, LIU Xiao-Hua. A Generating Approach to Group's Intelligence with Application to Dysphagia's Rehabilitation Treatment after Stroke. ACTA AUTOMATICA SINICA, 2017, 43(7): 1190-1201
[7] Chong Su, Hongguang Li, Xiaochun Chen ,A Novel Interactive Preferential Evolutionary Methodology for Controller Tuning in Chemical Processes，Chinese Journal of Chemical Engineering,2015.23: 398-411
[8] Chong Su, Hongguang Li, Jingwen Huang, Xianyu Bao,Generating Methods for Group Affective Preferences with Engineering Applications, Arab J Sci Eng,2015, 40:1539-1551
[9] Chong Su, Hongguang Li, An Affective Learning Agent with Petri-net-based Implementation. Applied Intelligence, 2012, 37(4) :569-585
[10] Chong Su, Hongguang Li, Approaches to Affective Computing And Learning towards Interactive Decision Making in Process Control Engineering, ACTA AUTOMATICA SINICA, 2013, 39(5):617-625
Social services
Reviewer of 《Expert system with applications》,《IEEE ACCESS》,《Expert Systems》,《IEEE TNNLS》, etc.
Codes of our team’s representative results are shown in our webpage of GitHub:https://github.com/suchong202