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Francesco Orabona
Associate Professor at KAUST
Francesco Orabona is an Associate Professor at the King Abdullah University of Science and Technology (KAUST), where he is part of the Computer, Electrical, and Mathematical Sciences and Engineering Division. His research primarily focuses on machine learning, specifically the theory and application of online learning algorithms. He has a keen interest in developing adaptive and parameter-free learning algorithms, which aim to optimize performance without requiring human intervention.12
Education and Career Background
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Education:
- Laurea Degree (B.S. & M.S.) in Electrical Engineering from the University of Naples Federico II, Italy (2003).
- Ph.D. in Electrical Engineering from the University of Genoa, Italy (2007).
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Career Path:
- Postdoctoral fellow at the Idiap Research Institute, Switzerland, and the University of Milan, Italy.
- Research Assistant Professor at the Toyota Technological Institute, Chicago, U.S. (2011).
- Senior Research Scientist at Yahoo Labs, New Jersey, U.S.
- Assistant Professor at Stony Brook University, New York, U.S.
- Associate Professor at Boston University before joining KAUST.13
Research Interests
Dr. Orabona's research encompasses:
- Parameter-free optimization
- Online learning
- Statistical learning theory
- Optimization techniques in machine learning.12
Editorial and Conference Activities
He has served as an area chair for prestigious conferences such as NeurIPS and ICML and holds editorial roles in journals like the IEEE Transactions on Information Theory.1
Recognitions
His work has earned him several accolades, including:
- NSF CAREER Award (2021)
- Google Research Award (2017)
- Best Paper Award at various international conferences.1
Dr. Orabona is recognized for his contributions to both theoretical foundations and practical applications of machine learning algorithms.4
