Dr. Chong Su

Office Address

Room 617, Science and Technology Building

Mailing Address

Mail Box 4, No. 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, P.R. China



Research Interests

1. Modeling, optimization for complex decision problem
2. Smart Medicine
3. Artificial intelligence in rehabilitation medicine
4. Traditional Chinese Medical (TCM) acupuncture modeling and learning

Working/Education Experience

Ph.D. Control Theory and Control Engineering
Beijing University of Chemical Technology, Beijing, China, 2012
B.E. Industrial Automation
Beijing University of Chemical Technology, Beijing, China, 2005

Teaching Courses

1. Process control engineering
2. Process measurement and control technology
3. Practical industrial technology


[1] National Natural Science Foundation Project, Group intelligence for diagnosis and treatment of dysphagia rehabilitation, 2017.01-2019.12, principal investigator
[2] The Beijing Municipal Outstanding Talent Training Funding Project, Group decision methods on smart Traditional Chinese medical rehabilitation system, 2016.01-2017.12, principal investigator
[3] Open Project Fund of State Key Laboratory of Complex Systems Management and Control, Chinese Academy of Sciences, Research on the "Blue" Intelligent City Construction Theory and Methods Based on Open and Complex Giant Systems, 2015.01-2016.12, principal investigator
[4] National Natural Science Foundation Project, Complex cascade system dynamics and multi-objective optimization control questions,2018.01-2020.12, participation


[1] An affective cognition based approach to multi-attribute group decision making. Intelligent & Fuzzy Systems, 2018, 35(1):11-33.
[2] A hybrid classifier based on nonlinear-PCA and deep belief networks with applications in dysphagia diagnosis. Computer Assisted Surgery, 2017.11:135-147
[3] Group intelligence-based decision making and its applications to traditional chinese medical dysphagia rehabilitation treatment. Intelligent & Fuzzy Systems, 2016, 6 (31): 3181-3195
[4] A kind of affective computing MAGDM method with its applications. Journal of Nonlinear and Convex Analysis, 2019 (Accepted)
[5] A Novel Interactive Preferential Evolutionary Methodology for Controller Tuning in Chemical Processes. Chinese Journal of Chemical Engineering, 23(2), 2015:398-411
[6] Chong Su, Hongguang Li, Jingwen Huang, Xianyu Bao, Generating Methods for Group Affective Preferences with Engineering Applications . Arabian Journal for Science and Engineering, 40(6), 2015:1359-1551
[7] Approaches to affective computing and learning towards interactive decision making in process control engineering. ACTA AUTOMATICA SINICA, 2013, 39(5), 617-625
[8] An affective learning agent with Petri-net-based implementation. Applied Intelligence, 37(4), 2012 :569-585
[9] 融合混合知识与MCTS的针灸排序方案设定方法. 自动化学报, 2018 (Accepted)
[10] 一类面向中风后吞咽功能障碍康复治疗的群体智慧涌现方法. 自动化学报, 2017, 43(7): 1190-1201
[11] 一类基于非线性PCA和深度置信网络的混合分类器及其在 PM2.5浓度预测和影响因素诊断中的应用. 自动化学报, 2018, 44(2): 318-329
[12] 一种面向控制系统解耦的序列决策PID参数整定方法. 化工学报, 2018(3): 1071-1080
[13] 基于遗传算法的吞咽功能障碍智慧中医康复资源调度方法研究. 中国医学装备, 2017, 14(3): 6-12
[14] 基于情感学习智能体的交互式进化计算方法. 计算机集成制造系统, 2012, 18(3): 617-625
[15] 人机情感交互智能体及其在控制性能评价中的应用.计算机集成制造系统, 2011, 17(11):2438-2446