Ferdinando Fioretto
Assistant Professor of Computer Science, University of Virginia

307 Rice Hall
85 Engineer's Way
Charlottesville, VA 22904
I am an assistant professor of Computer Science at UVA. I lead the
Responsible AI for Science and Engineering (RAISE) group where we make advances in artificial intelligence with focus on two key themes:
AI for Science and Engineering: We develop the foundations to blend deep learning and constrained optimization for complex scientific and engineering problems.
Trustworthy & Responsible AI: We analyze the equity of AI systems in support of decision-making and learning tasks, focusing especially on privacy and fairness.
My group is generously supported by the National Science Foundation, Google, Amazon,
and the University of Virginia.
Before joining the University of Virginia, I was an assistant professor at
Syracuse University. Prior to that I was a postdoctoral research associate at the
Georgia Institute of Technology and a research fellow at the University of Michigan.
For more details, please see my CV.
news
Nov-23 |
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New preprint: On The Fairness Impacts of Hardware Selection in Machine Learning! ![]() - ![]() |
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Nov-23 |
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New preprint on integrating prediction and optimization via proxy learning! ![]() - ![]() - Our paper on disparate impacts arising in energy optimization has been accepted to the NeurIPS 2023 Climate Change AI Workshop! ![]() |
Oct-23 |
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Sep-23 |
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Our paper on data minimization at inference time has been accepted to NeurIPS 2023! ![]() - I am co-organizing the fith edition of the Privacy Preserving AI workshop at AAAI-24. ![]() - Paper accepted in IEEE PES Innovative Smart Grid Technologies. ![]() |
Aug-23 |
- I gave a talk on Privacy and Fairness at the IJCAI-23 workshop on Deep Learning Methods for Social Media.
- New survey on integrating prediction and optimization in end-to-end differentiable systems! ![]() - I am co-organizing the Algorithimc Fairness through the Lens of Time workshop at NeurIPS to spark discussions on how a long-term perspective can help build more trustworthy algorithms in the era of generative models. - New preprint on the disparate impacts arising in energy optimization. ![]() - ![]() |
Jul-23 |
- I gave a talk about the integration of Machine Learning and Optimization at the 2023 ACP Summer School.
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Jun-23 |
- Paper accepted to Electric Power Systems Research! ![]() - I gave a talk about Differential Privacy, Foundation and applications in Energy Systems at the DTU PET Summer School. ![]() - I gave a talk about Machine Learning for Optimization Optimization at the IEEE PES University. |
May-23 |
- Two new exciting preprints on privacy and fairness. ![]() - ![]() - Our NSF-ENG EPCN proposal Physics Informed Real-time Optimal Power Flow has been funded! We’ll integrate machine learning and physics to optimize power flow, integrate systems dynamics, and increase grid reliability. We’ll work on scalable and robust ML for energy solutions. Thank you, NSF! |
Apr-23 |
- ![]() - Four papers accepted to IJCAI 2023! ![]() |
Mar-23 |
- Our NSF RI CORE proposal End-to-end Learning of Fair and Explainable Schedules for Court Systems. has been funded! We’ll develop differentiable optimization tools for equitable & explainable scheduling and work on changing the pretrial scheduling process to reduce nonappearance and promote fairness in the American Court system! Thank you, NSF!
- I am co-editing a new book ![]() |
Feb-23 | - I have co-organizing the fourth workshop on Privacy Preserving Artificial Intelligence (PPAI) at AAAI-23. |
Jan-23 |
- Four new exciting preprints on topics including differentiable optimization, data leakage in ML models, differential privacy in language models, and differentially private data disclosure methods. ![]() ![]() - Paper accepted to IEEE PES 2023! ![]() - I gave a talk about Differential Privacy and Fairness in Energy Systems at the Grid Science winter school. - I will be serving as an area chair for FAccT-23 and ECAI-23. - I will be serving as demo track co-chair for IJCAI-23 and scholarship co-chair for AAMAS-23. - Paper accepted to AAMAS 2023! ![]() |