My research is driven by the following intriguing question: how can we establish, maintain and regulate the interactions between humans and Artificial Intelligence agents (e.g., machines, robots, chatbots, social bots) for desired outcomes? To answer it, I develop algorithms and systems that span human-agent interaction, multi-agent learning, game theory, decision theory and computational network science. My current work focuses on the computational aspects of incentive design to induce cooperation among agents with different (perhaps conflicting) interests for socially desired objectives, with application to online platforms (e.g., ridesharing, crowdfunding) and networks. Typical methodologies include information design, mechanism design, learning from revealed preferences, and multi-agent simulation.

Selected Publications

Gsholar | Gsholar
  • W. Shen, J. W. Crandall, K. Yan, and C. V. Lopes
    Information Design in Crowdfunding under Thresholding Policies.
    Working Paper

  • W. Shen, A. A. Khemeiri, A. Almehrezi, W. Al-Enezi, I. Rahwan, and J. W. Crandall
    Regulating Highly Automated Robot Ecologies: Insights from Three User Studies.
    In Proceedings of the Fifth International Conference on Human-Agent Interaction (HAI 2017)
    Bielefeld, Germany
    Paper, Review, BibTeX, Code
  • K. Yan, Z. Ji, and W. Shen
    Online Fault Detection Methods for Chillers Combining Extended Kalman Filter and Recursive One-class SVM.
    Neurocomputing , Vol.228 (2017), pp. 205-212.
    Paper, DOI, BibTeX
  • W. Shen, C. V. Lopes, and J. W. Crandall
    An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems.
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16)
    New York City, NY
    (Acceptance rate: 24%, 2294 submissions).
    Paper, DOI, BibTeX , Presentation, Poster
  • W. Shen and C. V. Lopes
    Managing Autonomous Mobility on Demand Systems for Better Passenger Experience.
    In Proceedings of the 18th Conference on Principles and Practice of Multi-Agent Systems (PRIMA-15)
    Bertinoro, Italy
    (Acceptance rate: 31%).
    Paper, DOI, BibTeX , Presentation
  • T. Mulumba, A. Afshari, K. Yan, W. Shen, and L. K. Norford
    Robust Model-based Fault Diagnosis for Air Handling Units.
    Energy and Buildings, Vol.86 (2015), pp. 698-707.
    Paper, DOI, BibTeX
  • K. Yan, W. Shen, T. Mulumba, and A. Afshari
    ARX Model Based Fault Detection and Diagnosis for Chillers using Support Vector Machines.
    Energy and Buildings, Vol.81 (2014), pp. 287-295.
    Paper, DOI, BibTeX
  • W. Shen, V. Babushkin, Z. Aung, and W. L. Woon
    An Ensemble Model for Day-ahead Electricity Demand Time Series Forecasting.
    In Proceedings of the Fourth ACM International Conference on Future Energy Systems (e-Energy'13)
    Berkeley, California
    (Acceptance rate: 28.95%).
    Paper, DOI, BibTeX , Presentation

Academic Services


Reviewer, The Fifth International Conference on Human-Agent Interaction (HAI 2017)
Reviewer, The 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2017)
Reviewer, The ACM CHI Conference on Human Factors in Computing Systems (CHI 2017)
Reviewer, The 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2016)
Reviewer, International Journal of Electrical Power & Energy Systems (INT J ELEC POWER 2013)


Reader, INF43 - Introduction to Software Engineering, Fall 2014
Reader, INF225/CS221 - Information Retrieval, Winter 2015
Reader, INF124 - Internet Applications Engineering, Spring 2015
Assistant, INF295 - Distributed Interactive Simulation, Spring 2016