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I am an assistant professor in the EECS department at Syracuse University. I have joined Syracuse University in January 2020.

Prior to this, I was a postdoctoral research associate in the Industrial and System Engineering (ISyE) department at the Georgia Institute of Technology (September, 2018 - December, 2019), working with Pascal Van Hentenryck, and a research fellow at the University of Michigan (September, 2016 - September, 2018).

I received PhDs in Computer Science from the Department of Mathematics and Computer Science at University of Udine (April, 2016), and from the Department of Computer Science at New Mexico State University (August, 2016), supervised by Agostino Dovier, at the University of Udine and Enrico Pontelli, at New Mexico State University.

Research interests

Artificial Intelligence; Machine Learning; Differential Privacy; Multiagent systems;
I am also broadly interested in the application of Privacy and Machine Learning for energy, transportation, and sustainability applications.


Ferdinando (Nando) Fioretto is an assistant professor at Syracuse University. His research focuses on artificial intelligence, multiagent systems, and data privacy. Nando has published in several top-ranked artificial intelligence journals and conferences and has served the (senior) program committee of various AI conferences, including (AAAI), (IJCAI), NeurIPS, AAMAS, and (CP). 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).


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News Highlight

Workshop on Privacy Preserving Artificial Intelligence AAAI-21

Together with Pascal Van Hentenryck and Richard Evans, I am organizing a workshop at AAAI-21 on Privacy Preserving Artificial Intelligence.
The aim of the workshop is to provide a platform for researchers, AI practitioners, and policymakers to discuss technical and societal issues and present solutions related to privacy in AI applications. The workshop will focus on both the theoretical and practical challenges related to the design of privacy-preserving AI systems and algorithms and will have strong multidisciplinary components, including soliciting contributions about policy, legal issues, and societal impact of privacy in AI.
Now accepting submissions! Read More

Other recent (<1 year) News and Highlights



    4-125 CST
    Department of Electrical Engineering & Computer Science
    Syracuse University
    Syracuse - NY 13244 - U.S.A.