I am a PhD student in artificial intelligence at Rensselaer Polytechnic Institute. I graduated with a BSE in data science engineering from the University of Michigan, College of Engineering. My research focuses on determining the computational properties of negotiation in group decision-making by independent agents and allocating resources fairly. Formally, this spans the fields of computational social choice, algorithmic game theory, and multiagent systems. Ongoing work:
What You See is Not What You Get: Fair Assignment of Chores Hadi Hosseini, Joshua Kavner, Tomasz Wąs, Lirong XiaHide, Not Seek: Perceived Fairness in Envy-Free Allocations of Indivisible Goods Hadi Hosseini, Joshua Kavner, Sujoy Sikdar, Rohit Vaish, Lirong Xia Convergence of Iterative Multi-Issue Voting under Uncertainty Joshua Kavner, Reshef Meir, Francesca Rossi, and Lirong Xia At the 4th Games, Agents, and Incentives Workshop (GAIW) at AAMAS 2022. Recent publications: Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare Joshua Kavner and Lirong Xia In Proceedings of NeurIPS'21. Philosophy of Science, Network Theory, and Conceptual Change: Paradigm Shifts as Information Cascades Patrick Grim, Joshua Kavner, Lloyd Shatkin, and Manjari Trivedi In Complex Systems in the Social and Behavioral Sciences: Theory, Method, and Application by Euell Elliot and J Douglas Kiel, University of Michigan Press. June, 2021.
In my free time, I dance Lindy Hop, play the piano, read, and photograph. Check out my photos below!