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Research

Current

I am part of the Artificial Intelligence Lab (AIL) at UIC, and member of the Multiagent System Gropup (MASG). My current work is about decision making in interactive multi-agent systems. I'm particularly interested in First Order Probabilistic descriptions of Partial Observable Markov Decision Processes (POMDPs) and their extension to Interactive POMDPs (I-POMDPs). The nature of the problem is challenging, as a solid and universally shared theory of First Order Logic of Probability doesn't exist and the infinite nesting of interactive beliefs urges for approximate solutions. The expansion of existing approaches, such as BLOG, is my current focus. The topic has several points of contact with Game Theory, especially recent epistemic approaches to it.
In addition, I'm interested in exact and approximate algorithms for (I-)POMDPS, machine learning, statistical models, Bayesian inference, and other related subjects.

Past

As a graduate student at Politecnico di Milano (Italy), I have been part of the Dynamic Reconfiguration in Embedded Systems Design (DRESD) research group at the Microarchitecture Laboratory. My research work focused on methodologies for the design of dynamically reconfigurable multi-FPGA systems. If you are interested, you can download my M.S. thesis (in english).