Welcome!

I am a recent PhD graduate in artificial intelligence from Rensselaer Polytechnic Institute. I graduated with a BSE in data science from the University of Michigan, College of Engineering in 2020. My research focuses on 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:

Perceived Fairness in Threshold-based Fair Allocations.
Hadi Hosseini, Joshua Kavner, Samarth Khanna, Sujoy Sikdar, Rohit Vaish, and LirongXia.
Working paper.

Average-Case Analysis of Iterative Voting
Joshua Kavner and Lirong Xia
In submission.

Hide, Not Seek: Perceived Fairness in Envy-Free Allocations of Indivisible Goods
Hadi Hosseini, Joshua Kavner, Sujoy Sikdar, Rohit Vaish, and Lirong Xia
Presented at the Computational Fair Division workshop at IJCAI-23.

Publications:
Distribution of Chores with Information Asymmetry
Hadi Hosseini, Joshua Kavner, Tomasz Wąs, and Lirong Xia
In Proceedings of ECAI'24.

Convergence of Multi-Issue Iterative Voting under Uncertainty
Joshua Kavner, Reshef Meir, Francesca Rossi, and Lirong Xia
In Proceedings of IJCAI'23.

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!