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Professor Fabio Cuzzolin (pronounced: 'Kootzoleen') was born in Jesolo, Italy.

He graduated magna cum laude with the University of Padua, was awarded a Ph.D. there in 2001 for a thesis entitled Visions of a generalized probability theory, and worked in world-class institutions such as the Washington University in St. Louis, Politecnico di Milano, the University of California at Los Angeles. In 2006 he was awarded a Marie Curie Fellowship with INRIA Rhone-Alpes, France. In 2007 he classified second there in the Senior Researcher national recruitment.
He joined Oxford Brookes University in 2008, took up a Senior Lectureship there in July'11, and a Readership in October 2011. He has taken on the role of Head of the Artificial Intelligence and Vision research group in September 2012, and has been awarded in October 2012 a Next 10 award by the Faculty of Technology, Design and Environment as one of its top emerging researchers.
He was promoted to Professor of Artificial Intelligence in 2016.

Professor Cuzzolin is a world expert in uncertainty in artificial intelligence. In particular, he has been conducting groundbreaking work on the mathematical foundations of random set and belief function theory. His most significant contribution is a geometric approach to uncertainty measures in which uncertainty measures are represented as points of a Cartesian space and there analysed. His work on the field is in the process of being published in two separate monographs published by Springer (The geometry of uncertainty - The geometry of imprecise probabilities) and Lambert Academic Publishing ( Visions of a generalized probability theory).

As the founder and Head of Brookes' Visual Artificial Intelligence Laboratory, Fabio have been conducting work at the boundaries of human action recognition. Within machine learning Fabio's work is directed at understanding the mathematics of deep learning, providing new robust foundations for statistical learning theory as part of a new Epistemic AI approach to artificial intelligence, and developing novel tools based on the theory of random sets, in particular generalisation of the logistic regression frameworks and of max-entropy classifiers. He is part of research consortia which aim at applying machine learning to human-robot interaction (e.g. for the creation of emotional avatars) and introducing for the first time full autonomy in surgical robotics. He is now heavily investing in AI for autonomous driving and AI for healthcare, in partnership with the OxCATTS clinical trial unit and the MOReS research centre directed by Prof Helen Dawes.
The Lab is a thriving research unit projected to comprise around 30-35 members in 2021, and currently running on a budget of around £3 million pounds.

Fabio is the author of some 110+ peer-reviewed publications, published or under review, including two monographs, two edited Springer LNCS volumes, 4 book chapters, 25 journal papers, 10 chapters in collections.
He won awards for Best Paper at PRICAI'08, Poster Prize at the ISIPTA'11 Symposium on Imprecise Probabilities, Best Poster at the 2012 INRIA Summer School on Machine Learning and Visual Recognition, and was short-listed for prizes at the ECSQARU'11 and BMVC12 conferences, where he was given the Outstanding Reviewer Award. His student student Suman Saha won the reading group prize at the 2015 International Computer Vision Summer School (ICVSS). His team, led by student Gurkirt Singh, won 2nd place in the 2016 CVPR ActivityNet action detection challenge, and again at the latest Charades CVPR 2017 challenge, in partnership with Disney Research. Recently, the team has assisted OBR Racing - Autonomous achieve 3rd place in the first (2019) edition of the IMEC-sponsored Formula Student - AI competition, and secure first place overall in 2020.

Professor Cuzzolin has given tutorials at top conferences in Artificial Intelligence, including UAI 2015 and IJCAI 2016, as well as Harvard University's Department of Statistics, Cambridge University and Seoul National University, and was the main organiser of the recent MIDL 2020 SARAS challenge on Endoscopic Surgical Action Detection.

Professor Cuzzolin was Associate Editor of the IEEE Transactions of Fuzzy Systems, which was the top journal in Computer Science by impact factor in 2015, Guest and Associate Editor for the International Journal of Approximate Reasoning, AE for the IEEE Transactions on Systems, Man, and Cybernetics C, Guest Editor for Information Fusion and the IEEE Transations on on Neural Networks and Learning Systems , and collaborates as a reviewer with many other journals in both computer vision and imprecise probabilities, such as IEEE Transactions on PAMI, Artificial Intelligence, the IEEE Transactions on Systems, Man, and Cybernetics - part B, Computer Vision and Image Understanding, Information Sciences, the Journal of Risk and Reliability; the International Journal on Uncertainty, Fuzziness, and Knowledge-Based Systems, Image and Vision Computing, the Annals of Operations Research.
He is currently a Research Topic Editor for Frontiers in Artificial Intelligence, with the topic Theory of Mind in Humans and in Machines.

Professor Cuzzolin has served in the TCP of around 100+ international conferences, including IJCAI, the premiere conference in Artificial Intelligence, NeurIPS, the top Machine Learning venue, CVPR, the reference conference in Computer Vision and Pattern Recognition, as well as IEEE SMC, ACCV and IPMU. He was Senior Program Committee member of Uncertainty in Artificial Intelligence (UAI), the top venue in uncertainty theory and Area Chair for BMVC, the British Machine Vision Conference, and is currently Area Chair for ECCV 2020 and Area Chair for ICCV 2021.
He was the Program Chair and local organizer of the 3rd International Conference on the Theory of Belief Functions (BELIEF 2014), which was held in St. Hugh's College, Oxford, UK, and is in the Steering Committee of the joint SMPS2018/BELIEF 2018 event in UTC Compiegne.
He was keynote an invited speaker at several international conferences and workshops.

Fabio is a member of the Society for Imprecise Probabilities and Their Applications, a four-term member of the Board of Directors of the Belief Functions and Applications Society (BFAS). He acts as a reviewer for ERC - the European Research Council, the Leverhulme Trust, the Vienna Research Group, Austria, the Italian Ministry of Scientific Research and a Member of the Associate College of reviewers for EPSRC.