I lead the MINDS lab, where we study decision making and learning in networks (including network games, multi-agent reinforcement learning, and learning for optimization in networks/graphs), and the ethics and economics of AI (including data biases, algorithmic fairness, and strategic human-in-the-loop). Our research has been generously supported by the National Science Foundation, Amazon, and Cisco.
Recent News
- September 2026: Parinaz will give a talk on "Embodied Persuasion" at the 62nd Allerton Conference on Communication, Control, and Computing.
- August 2026: New pre-print: Rethinking Learning-Based Influence Maximization: Simple Neural Surrogates and Native Discrete Search. This work revisits and challenges existing learning-based influence maximization frameworks.
- July 2026: Our paper "Decision-Focused Learning in Network Interdiction Games" led by Luca has been accepted in the 17th Conference on Game Theory and AI for Security (GameSec-26). Congratulations, Luca!
- July 2026: Our paper "Personalized and Trust-Aware Health Recommendation Policies for a Construction Workplace" led by Atefeh has been accepted in the 65th IEEE Conference on Decision and Control (CDC'26). Congratulations, Atefeh!
- June 2026: Our paper "Fair Robust Strategic Classification under Decision-Dependent Cost Uncertainty" led by Sura has been accepted in the NExt-Game@ICML'26 workshop. Congratulations, Sura!
- June 2026: Our paper "The Double-Edged Sword of Information: Revealed versus Hidden Lotteries in School Choice" together with Jingyan Wang has been accepted in the 3rd Workshop on New Directions in Social Choice at EC 2026.
- April 2026: Our paper "Test-Time Adaptation for Unsupervised Combinatorial Optimization" led by Yiqiao has been accepted in the Transactions on Machine Learning Research (TMLR). Congratulations, Yiqiao!
- April 2026: Our paper "Robust Strategic Classification under Decision-Dependent Cost Uncertainty" led by Sura has been accepted in the International Conference on Machine Learning (ICML) (~26.6% acceptance rate). Congratulations, Sura!