Dr. Chun Wang, Concordia Institute for Information Systems Engineering

Research interests

• Digital Transformation, Digital Twins, AI Agent Systems

• Sustainable, Smart, and Socially-Oriented Mobility Systems

• Computational Social Simulation for Electrification and Decarbonization

• Scheduling, Two-sided Matching, e-Supply Chain, Community Health Management 
• Mechanism design, Game Theory, Multiagent Systems

2026

Nima Moradi, Fereshteh Mafakheri, Chun Wang, Roberto Baldacci,Robot-aided electric vehicle routing problem with lockers and prime customersprioritization, European Journal of Operational Research, Volume 328, Issue 3,2026, Pages 1018-1035.

2025

X. Li, H. Taillon, C. Wang, and X. Huang. “XRMDN: AnExtended Recurrent Mixture Density Network for Short-Term Probabilistic RiderDemand Forecasting Considering High Volatility,” IEEE Transactions onIntelligent Vehicles, vol. 10, pp. 1855-1866, 2025.

Zhang, H., Zhu, M., Wu, W., Fan, G., Li, J., & Wang, C.(2025). An Efficient Energy Transmission Combination Approach for ChargingSmart Wearable Devices. IEEE Internet of Things Journal, 13(1),1423-1439.

Nejadshamsi, S., Bentahar, J., Wang, C., & Eicker, U.(2025). Predicting Short-Term Bike-Sharing Demand at Station Level: AMulti-Task Dynamic Graph-based Spatiotemporal Approach. Knowledge-BasedSystems, 114986.

Valipour, M., Mafakheri, F., & Wang, C. (2025). Anadaptive simulation-based inventory optimisation approach to enhancing biomasssupply chain resilience: a case study of remote communities. InternationalJournal of Production Research, 1-33.

Moradi, N., Mafakheri, F., & Wang, C. (2025). Asystematic review of sustainable ground-based last-mile delivery of parcels:Insights from operations research. Vehicles, 7(4), 121.

Ireland, A., & Wang, C. (2025, December). EvaluatingThird-Party Impacts in Urban Air Mobility Community Integration: A Digital TwinApproach. In 2025 Winter Simulation Conference (WSC) (pp.2872-2883).

Zhu, H., Yang, T., Gong, K., & Wang, C. (2025, May). WhyImperfect Team Management is Tolerable: An E-CARGO's Perspective. In 202528th International Conference on Computer Supported Cooperative Work in Design(CSCWD) (pp. 1461-1466). IEEE.

2024

Y. Yang, M. Zhu, J. Li, C. Wang and G. Fan, "CrowdsourcingRegional Coverage Balancing Method Based on Transfer Learning in TaxiService," in IEEE Transactions on Intelligent TransportationSystems, vol. 25, no. 11, pp. 18063-18077, Nov. 2024, doi:10.1109/TITS.2024.3434561.

Moradi, N.,Mafakheri, F., & Wang, C. (2024). Set Covering Routing Problems: Areview and classification scheme. Computers & IndustrialEngineering, 198, 110730.

X. Li, H. Taillon, C. Wang, and X. Huang. “BM-RCWTSG: AnIntegrated Matching Framework for Electric Vehicle Ride-Hailing Services underStochastic Guidance,” Sustainable Cities and Society (2024) 105485.

Mahsa Valipour, Fereshteh Mafakheri, Bruno Gagnon, RobertPrinz, Dan Bergström, Mark Brown, Chun Wang, Integrating bio-hubs in biomasssupply chains: Insights from a systematic literature review, Journal of CleanerProduction, Volume 467, 2024, 142930

Moradi, N., Wang,C., & Mafakheri, F. (2024). Urban air mobility for last-miletransportation: A review. Vehicles, 6(3), 1383-1414.

2023

Shixuan Hou*, Jie Gao*, Chun Wang, (2023). OptimizationFramework for Crowd-Sourced Delivery Services with the Consideration ofShippers’ Acceptance Uncertainties. IEEE Transactions on IntelligentTransportation Systems, 24(1), 684–693. 

Seyedan, Mahya and Mafakheri, Fereshteh and Wang, Chun,Order-up-to-level inventory optimization model using time-series demandforecasting with ensemble deep learning. Supply Chain Analytics. Vol. 3,100024, 2023.  

Luyang Hou*, Yuanliang Li, Jun Yan, Chun Wang, Li Wang, BiaoWang, Multi-agent reinforcement mechanism design for dynamic pricing-baseddemand response in charging network, International Journal of Electrical Power& Energy Systems, Volume 147, 2023.

Nejadshamsi, S., Eicker, U., Wang, C., & Bentahar, J.(2023). Data sources and approaches for building occupancy profiles at theurban scale–A review. Building and Environment, 238,110375.

X. Li, J. Gao, C. Wang, X. Huang and Y. Nie,"MDN-Enabled SO for Vehicle Proactive Guidance in Ride-Hailing Systems:Minimizing Travel Distance and Wait Time," in IEEE Systems,Man, and Cybernetics Magazine, vol. 9, no. 3, pp. 28-36, July 2023.

X. Li, H. Taillon, C. Wang, and X. Huang. “Demand DensityForecasting in Mobility-on-Demand through Recurrent Mixture Density Networks,”2023 IEEE 26th International Conference on Intelligent Transportation Systems(ITSC-2023, Rank: B1). IEEE, 2023, pp.250–255.

2022

Jie Gao*, Xiaoming Li*, Chun Wang, Xiao Huang. (2022).BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems. IEEETransactions on Intelligent Transportation Systems. 23(8): 11666-11676. 

Luyang Hou*, Jun Yan, Chun Wang, Lei Jiao Ge. (2022). ASimultaneous Multi-Round Auction Design for Scheduling Multiple Charges ofBattery Electric Vehicles on Highways. IEEE Transactions on IntelligentTransportation Systems. 23(7): 8024-8036. 

Jie Gao*, Wong*, Terrence; Selim, Bassant; Wang, Chun.(2022). VOMA: A Privacy-Preserving Matching Mechanism Design for CommunityRidesharing. IEEE Transactions on Intelligent Transportation Systems. InPress.  DOI: 10.1109/TITS.2022.31. 

XiaomingLi*, Chun Wang, Xiao Huang. (2022). A Data-Driven Approach for Vehicle Relocation inCar-Sharing Services with Balanced Supply-Demand Ratios. International Journalof Intelligent Transportation Systems Research. 20(1): 75-89.

Jie Gao*, Xiaoming Li*, Chun Wang Xiao Huang. (2022). Apricing mechanism for ride-hailing systems in the presence of driver acceptanceuncertainty. IEEE Access, Vol.10, 83017-83028. 

Li*, Xiaoming, Jie Gao*, Chun Wang, Xiao Huang, and YiminNie. "Ride-Sharing Matching Under Travel Time Uncertainty ThroughData-Driven Robust Optimization." IEEE Access 10 (2022): 116931-116941.

Li*, Xiaoming, Jie Gao*, Chun Wang, Xiao Huang, and YiminNie. “Mixture Density Network-Enabled Stochastic Optimization for VehicleProactive Guidance in Ride-Hailing Systems.” IEEE Systems, Man, and CyberneticsMagazine, In press. 

Lu Liu*, Chun Wang, Jian-Jun Wang, Antonio Marcio FerreiraCrespo*. (2022). An iterative auction for resource-constrained surgicalscheduling. Journal of the Operational Research Society,https://doi.org/10.1080/01605682.2022.2083988.

Shixuan Hou*, Jie Gao*, Chun Wang. (2022). Design for SupplyChain, Design for Mass Customization and Design for Manufacturing: A Review ofthe Literature. IET Collaborative Intelligent Manufacturing. 4(1): 1-16.

Seyedan*, Mahya Fereshteh Mafakheri Chun Wang. (2022).Cluster-based demand forecasting using Bayesian model averaging: An ensemblelearning approach. Decision Analytics Journal. 3: 100033.

Hou, L., & Wang, C. (2022, September). Optimal powermanagement for the integrated multiple energy carrier system. In 2022IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) (pp.60-65). IEEE.

2021

Jie Gao*, Chun Wang, Jiayang Yu, Terrence Wong*. (2021). APrice-Based Iterative Double Auction for Charger Sharing Markets. IEEETransactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2020.3047984. 23(6): 5116-5127

16. Jie Gao*, Chun Wang, Terrence Wong*. (2021). Socialwelfare maximizing taxi fleet charging scheduling through voting-basednegotiation. Transportation Research Part C, 130: 103304. 

Antonio M.F. Crespo*, Chun Wang, Thiago M. F. Crespo, LiWeigang, Alexandre Barreto. (2021). Learning Framework for Carbon EmissionsPredictions Incorporating a RReliefF Driven Features Selection and an IterativeNeural Network Architecture Improvement. SN Applied Sciences, 3(4): 1-18.

X. Li, J. Gao, C. Wang, X. Huang, and Y. Nie, “Ride-SharingMatching under Travel Time Uncertainty through A Data-Driven RobustOptimization Approach,” in 2021 IEEE 24th International Conference onIntelligent Transportation Systems (ITSC-2021, Rank: B1). IEEE, 2021, pp.3420–3425.

X. Li, J. Gao, C. Wang, X. Huang, and Y. Nie, “OrderDispatching in Ride-Sharing Platform under Travel Time Uncertainty: A Data-DrivenRobust Optimization Approach,” in 2021 IEEE International Conference onAutonomous Systems (ICAS-2021). IEEE, 2021, pp.1–7.

X. Li, J. Gao, C. Wang, X. Huang, and Y. Nie, “DriverGuidance and Rebalancing in Ride-Hailing Systems through Mixture DensityNetworks and Stochastic Programming,” in 2021 IEEE 7th International SmartCities Conference (ISC2-2021). IEEE, 2021, pp. 1–7.

2020

Guodong Fan, Ming Zhu, Jing Li, Chun Wang, Lei Zhao. (2020).A Graph Database-based Approach Utilizing FAHP and Directed Bipartite Graph forService Composition. Service Oriented Computing and Applications. 14(4):269-281.

Luyang Hou*, Jun Yan, Chun Wang. (2020). AnIncentive-Compatible Combinatorial Auction Design for Charging NetworkScheduling of Battery Electric Vehicles. Journal of Integrated Design &Process Science. 24(2): 75-92.

X. Li, C. Wang, and X. Huang, “Reducing Car-SharingRelocation Cost through Non-Parametric Density Estimation and StochasticProgramming,” in 2020 IEEE 23rd International Conference on IntelligentTransportation Systems (ITSC-2020, Rank: B1). IEEE, 2020, pp. 1–6.

X. Li, C. Wang, X. Huang, and Y. Nie, “A Data-Driven DynamicStochastic Programming Framework for Ride-Sharing Rebalancing Problem underDemand Uncertainty,” in 2020 IEEE Intl Conf on Parallel & DistributedProcessing with Applications (ISPA-2020). IEEE, 2020, pp. 1120–1125.

J. Gao, X. Li, C. Wang, and X. Huang, “Learning-Based OpenDriver Guidance and Rebalancing for Reducing Riders’ Wait Time in Ride-HailingPlatforms,” in 2020 IEEE 6th International Smart Cities Conference (ISC2-2020).IEEE, pp. 1–7.

Luyang Hou*, Chun Wang, Jun Yan. (2019). Bidding forPreferred Timing: An Auction Design for Electric Vehicle Charging StationScheduling. IEEE Transactions on Intelligent Transportation Systems. 21(8):3332-3343.

Lu Liu*, Chun Wang, Jianjun Wang. (2019). A combinatorialauction mechanism for surgical scheduling considering surgeon's privateavailability information. Journal of Combinatorial Optimization. 37(1):405-417.

Jie Gao*, Terrence Wong*, Chun Wang. (2019). CoordinatingPatient Preferences through Automated Negotiation: A Multiagent Systems Modelfor Diagnostic Services Scheduling. Advanced Engineering Informatics. 42: 100934.