• Assistant Professor, Industrial & Systems Engineering
Lihi Idan

Educational Background

  • Ph.D., Computer Science, Yale University - 2022
  • MS, Computer Science, Yale University - 2017

Research Interests

    • Artificial Intelligence in Policy Design
    • Digital Conflict Management
    • Anomaly Detection
    • Unsupervised Learning
    • Ethical and Responsible AI
    • Hybrid Optimization Methods
    • Human-Computer Interaction

Selected Publications

  • S. Saghafian and L. Idan, "Effective Generative AI: The Human-Algorithm Centaur." (2024)
  • L. Idan, "Towards Unsupervised Model Validation of Anomaly Detection Models." (2023)
  • L. Idan, "Hybrid Actor-Critic Algorithms: Towards an Efficient representation of Action Dependencies' in Sequential Decision-Making." (2023)
  • L. Idan and J. Feigenbaum, "PRShare: A Framework for Privacy-preserving, Interorganizational Data Sharing." (2022)
  • L. Idan and J. Feigenbaum, "Show Me Your Friends, and I Will Tell You Whom You Vote For: Predicting Voting Behavior in Online Social Networks." (2019)