Ferdinando Fioretto

Ferdinando Fioretto is an assistant professor at the Electrical Engineering and Computer Science Department, Syracuse University. Prior to this, he was a postdoctoral research associate at the Georgia Institute of Technology and a research fellow at the University of Michigan. Ferdinando received his PhDs in Computer Science from the Department of Mathematics and Computer Science at University of Udine and the Department of Computer Science at New Mexico State University. His research focuses on artificial intelligence, data privacy, optimization, and multi-agent systems. He particularly focuses on research threads: “Learning to optimize”, whose goal is to develop techniques that leverage deep learning to aid the resolution of constrained optimization problems and, in particular, optimization problems with hard physical and engineering constraints, and “Privacy-preserving AI”, whose goal is the protection of sensitive users' data for large-scale optimization and machine learning models while preserving the salient features of the application of interest.

Ferdinando is the author of over 40 articles published in artificial intelligence journals and conferences proceedings. He is the co-organizer of OptLearnMAS, since 2018, an AAMAS workshop that focuses on optimization and learning in multi-agent systems, and PPAI, since 2019, an AAAI workshop that focuses on privacy preserving artificial intelligence. He has given tutorials at AAAI and AAMAS and served the program committee of various artificial intelligence and machine learning conferences, including AAAI and CP, as senior program committee, IJCAI as area chair, and AAMAS, ECML, and NeurIPS. He is the recipient of a best student paper award (CMSB, 2013), a most visionary paper award (AAMAS workshop series, 2017), and a best AI dissertation award (AI*IA, 2017).