Education
Ph.D. (Majored in Systems and Engineering Management), Nanyang Technological University, Singapore, 2006
B.S. (Majored in Automatic Control), Huazhong University of Science and Technology, Wuhan, China, 1998
Abroad Research Experiences
Arizona State University, U.S.A., Visiting Scholar, 2016-2017
Singapore-MIT Alliance, Nanyang Technological University, Singapore, Post-Doctoral Researcher, 2006-2008
Nanyang Technological University, Singapore, Ph.D. Candidate, 2001-2006
Research interests
Automated planning and plan recognition; Public security and emergency management; Optimization of resources scheduling; Risk prediction and event recognition
Research Projects
【1】Key Technologies and Equipment for intelligent Monitoring and Early Warning of Social Security incidents (National Key R&D Program of China, 2018YFC0807500), 2018.07-2021.06
【2】Task-Oriented Autonomous Equipment Maintenance Support Resource Scheduling and Dynamic Optimization Technology（Sub-project of the Key Project of Equipment Pre-research Field Fund 61400040502），2018.11-2020.12
【3】Human-in-The-Loop Disaster Scenario Deduction System Design Method (Sub-topic of National Key R&D Program of China, 2017YFC0803308-08), 2017-2020
【4】Emergency Resource intelligent Planning Technology in Complex Traffic Space-Time Environment (Sub-topic of National Key R&D Program of China, 2016YFC0802509-2), 2016-2019
【5】Research on Emergency Action Planning Considering Risk Perturbation (Safety Early Warning and Emergency Linkage Technology Hubei Province Collaborative innovation Center Open Project, JD20150103), 2015-2017
【6】HTN Based Emergency Response Task Planning in Nondeterministic Environment (National Natural Science Foundation of China, 71371079), 2014-2017
【7】Development Of Distributed Simulation Exercise Platform for Emergency Response (Sub-project of the 13th Five-Year National Science and Technology Support Program), 2013-2015
【8】Application Of Coordinated Emergency Decision-Making for The Three Gorges Regional Flood Protection, (Sub-project of the integration Project of NSFC Key Research Plan, 91024032), 2011-2014
【9】Optimal Predictive Maintenance Strategy for Deteriorating Equipment Based on Real-Time Quality inspection Data (National Natural Science Foundation of China, 60904075), 2010-2012
【10】Multi-Sector and Multi-Stage Coordinated Decision-Making Theory and Method for Unconventional Emergency Response (Key Project of NSFC Key Research Plan, 90924301), 2010-2012
【11】Coordinated Task Planning for Emergency Response based on Multi-agent Markov Decision Process, National independent innovation Fund, 2011-2012.
【12】Predictive Maintenance for Deteriorating Machines based on Quality Detection information, Hubei Provincial Natural Science Foundation, 2009-2010.
Academic Services
Deputy secretary general of Logistics System Engineering Committee of Systems Engineering Society of China
Council member of Systems Engineering Society of Hubei Province
Books
【1】Wang HW and Qi C. Emergency Response Decision-Making Theory and Methodology Based on Hierarchical Task Network Planning (in Chinese), Beijing: Science Press, 2015.
【2】Wang HW, Xie Y, Wang XP, Qi C. Simulation of Logistics Systems (in Chinese), Beijing: Tsinghua University Press, 2009.
Journal Papers
【1】Qi C, Lu H, Wang HW, Xie Y., Zeng W, and Zhang JW. Management innovation of offsite construction in mega projects: integrated management and supplier development. Management World, 2019, 35(4): 39-51. (in Chinese)
【2】Su H., Deng C., Guo F., Chen X, and Qi C. Distributed Load Sharing and Transmission Power Loss Optimization for DC Microgrids [J]. IET Control Theory & Applications, on-line, DOI: 10.1049/iet-cta. 2018, 5678.
【3】Qi C, Wang D, Munoz-Avila H, Zhao P, Wang HW. Hierarchical Task Network Planning with Resources and Temporal Constraints. Knowledge-Based Systems, 2017, 133: 17-32.
【4】Li ML, Wang HW, Qi C. A Novel HTN Planning Approach for Handling Disruption During Plan Execution. Applied intelligence, 2017, 46(4): 800-809.
【5】Qi C and Luo LJ. Analysis of a flood disaster case based on event chain and generalized stochastic Petri nets, Journal of Wuhan University of Technology (information & Management Engineering), 2017, 39(2): 130-134.
【6】Wang HW, Feng YJ, and Qi C. Research on Emergency Scenario Construction based on Knowledge Element Model. Journal of Wuhan University of Technology (information & Management Engineering), 2017, 39(4): 381-385, 421.
【7】Wang X, Wang HW, Qi C. Multi-agent Reinforcement Learning based Maintenance Policy for a Resource Constrained Flow Line System. Journal of intelligent Manufacturing, 2016, 27(2): 325-333.
【8】Liu D, Wang HW, Qi C. Hierarchical Task Network-based Emergency Task Planning with incomplete information, Concurrency and Uncertain Duration. Knowledge-Based Systems, 2016, 112: 69-79.
【9】Li ML, Wang HW, Qi C, Zhou C. HTN based Emergency Task Planning with Temporal Preferences. Journal of intelligent and Fuzzy Systems, 2016, 30(4): 1881-1891.
【10】Chen FY, Wang HW, Xie Y, Qi C. An ACO-based online Routing Method for Multiple Order Pickers with Congestion Consideration in Warehouse. Journal of intelligent Manufacturing, 2016, 27(2): 389-408.
【11】Qi C, Wang D. Dynamic Aircraft Carrier Flight Deck Task Planning based on HTN. IFAC-Papersonline 2016, 49(12): 1608-1613.
【12】Tang P, Qi C, and Wang HW. Emergency response action plan development based on hierarchical task network planning. Management Review, 2016, 28(8): 43-50. (in Chinese)
【13】Ma YQ，Wang HW，and Qi C. Research on Tabletop Exercise Based on the Computer Simulation. Management Review, 2016, 28(8): 186-192 (in Chinese)
【14】Wang HW, Liu D, Zhao P, Qi C, and Chen X. Review on hierarchical task network planning under uncertainty. ACTA Automatica Sinica, 2016, 42(5): 655-667. (in Chinese)
【15】Bian DP, Dai LH, Li JJ, and Qi C. Hierarchical task network-based carrier aircraft task planning. Chinese Journal of Ship Research, 2016, 11(5): 35-41. (in Chinese)
【16】Zhou C, Wang HW, and Qi C. Hierarchical task network based emergency resource coordinated planning approach. Systems Engineering --- Theory & Practice, 2015, 33(10): 2504-2512. (in Chinese)
【17】Qi C and Wang HW. Design of emergency exercise simulation platform for high level commanders. Systems Engineering --- Theory & Practice, 2015, 35(7): 1871-1877. (in Chinese)
【18】Wang D, Qi C, Wang HW. Improving Emergency Response Collaboration and Resource Allocation by Task Network Mapping and Analysis. Safety Science, 2014, 70: 9-18.
【19】Wang X, Wang HW, Qi C, Sivakumar AI. Reinforcement Learning based Predictive Maintenance for a Machine with Multiple Deteriorating Yield Levels. Journal of Computational information Systems, 2014, 10 (1): 9-19.
【20】Chen S, Wang HW, Xie Y, Qi C. Mean-risk Analysis of Radio Frequency Identification Technology in Supply Chain with inventory Misplacement: Risk-sharing and Coordination. Omega, 2014, 46: 86-103.
【21】Wang Z, Wang HW, Qi C, Wang J. A Resource Enhanced HTN Planning Approach for Emergency Decision-making. Applied intelligence, 2013, 2(38): 226-342.
【22】Wei YC, Wang HW, Qi C. The Impact of Stock-Dependent Demand on Supply Chain Dynamics. Applied Mathematical Modelling, 2013, 37 (18-19): 8348-8362.
【23】Li B, Wang HW, Yang JB, Guo M, Qi C. A Belief-rule-based inference Method for Aggregate Production Planning under Uncertainty. international Journal of Production Research, 2013, 1(51): 83-105.
【24】Wang Z, Wang HW, Tang P, Qi C, Wang J. HTN Planning Method with Resource Allocation and Its Application. Journal of Management Sciences in China, 2013, 16(3): 53-60. (in Chinese).
【25】Li JJ, Wang HW, Qi C, Wang J, Wang Z. Resource Shortage Identification Method in HTN Planning, Systems Engineering – Theory and Practice. 2013, 33(7): 1729-1734. (in Chinese).
【26】Yang Z, Qi C. Preventive Maintenance of a Multi-Yield Deteriorating Machine: Using Reinforcement Learning. Systems Engineering – Theory and Practice. 2013, 33(7): 1647-1653. (in Chinese).
【27】Wang X, Wang HW, Qi C. Maintenance Policies for Flow Line based on Multi-Agent Reinforcement Learning. Journal of Systems Engineering, 2013, 28(5): 702-708. (in Chinese).
【28】Tang P, Wang HW, Qi C, Wang J. Anytime Heuristic Search in Temporal HTN Planning for Developing incident Action Plans, AI Communications, 2012, 25: 321-342.
【29】Liu D, Wang HW, Qi C, Wang J. ORECOS: An Open and Rational Emergency Command Organization Structure under Extreme Natural Disasters based on China’s National Conditions. Disaster Advances, 2012, 5(4): 63-73.
【30】Li ML, Wang HW, Qi C, et al. Research on Unconventional Event Emergency Decision-Making Methodologies. China Safety Science Journal, 2012, 22(3): 158-163. (in Chinese)
【31】Tang P, Wang WH, Qi C. A New Decision Model for Handling Asynchronous incident Objectives with Priorities in Emergency Response. Journal of Computational information Systems, 2011, 7(14): 5251-5258.
【32】Li B, Wang HW, Qi C, A Belief-rule-based inventory Control Method under Nonstationary and Uncertain Demand, Expert Systems with Applications, 2011, 38(12).
【33】Liu D, Wang HW, Qi C, et al. Study on Emergency Command Organization Structure Under Unconventional Emergencies in China. China Safety Science Journal, 2011, 21(7): 163-170. (in Chinese).
【34】Li B, Wang HW, Yang JB, Qi C, Guo M. A Belief K-means Clustering Algorithm for Structure Identification of Belief-Rule-Base. Systems Engineering, 2011, 29(5): 85-91. (in Chinese).
【35】Qi C, Sivakumar AI, Gershwin SB. An Efficient New Job Release Control Methodology. international Journal of Production Research, 2009, 47(3): 703-731.
【36】Ang ATH, Sivakumar AI, Qi C. Criteria Selection and Analysis for Single Machine Dynamic online Scheduling with Multiple Objectives and Sequence Dependent Setups, Computers and industrial Engineering, 2009, 56(4): 1223-1231
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【37】Wang HW, Qi C, Wei YC, Li B, Zhu S. Review on Data-based Decision Making Methodologies. ACTA Automatica Sinica, 2009, 35(6): 8020-8033. (in Chinese).
【38】Qi C, Sivakumar AI, Gershwin SB. Impact of Production Control and System Factors in Semiconductor Wafer Fabrication. IEEE Transactions on Semiconductor Manufacturing, Vol. 21, No. 3, PP376-389, 2008.
Teaching (2014-2018)
Undergraduate:
Warehousing Management, 40 Teaching Hours
Logistics System Modeling and Simulation, 20 Teaching Hours
