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. The Visual Artificial Intelligence group is projected to comprise between 16 and 20 members as of 2018, and runs on a budget of around 1M pound, projects to significantly increase in 2018. Funders include the EPSRC, the EU Horizon 2020 initiative, Innovate UK, as well as several partner companies.
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-Verlag (The geometry of uncertainty) and Lambert Academic Publishing ( Visions of a generalized probability theory).
As the founder and head of Brookes’ Artificial Intelligence and Vision research group, Fabio have been conducting work at the current boundaries of human action recognition. The group has built in just a few years a leadership position in the field of deep learning for real-time action detection, localisation and recognition, which has led to be best detection accuracies to date and the only system able to localise multiple actions on the image plane in (better than) real time. The team are now shifting towards work at the current boundaries of visual AI, such as: (i) the design of new deep learning architecture able to regress whole action tubes in real time; (ii) structured-output DNs with as output part-based discriminative models, (iii) deep neural video captioning incorporating attention models and prior logical knowledge, & (iv) the creation of a theory of mind for visual AIs.
Within machine learning Fabio's work is directed at understanding the mathematics of deep learning, providing new robust foundations for statistical learning theory, 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 (the creation of emotional avatars), factory robotics (the coordination of fleets of automated forklifts), surgical robotics (robotic assistant surgeon arms) and e-Health.
Fabio is the author of some 100+ peer-reviewed publications, published or under review, including two monographs, an edited Springer LNCS volume, 3 book chapters, 21 journals, 9 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. Professor Cuzzolin has recently given tutorials at top conferences in Artificial Intelligence, including UAI 2015 and IJCAI 2016, as well as Harvard University Department of Statistics and Seoul National University.
Professor Cuzzolin was Associate Editor of the IEEE Transactions of Fuzzy Systems, the top journal in Computer Science by 2015 impact factor, Guest Editor for the International Journal of Approximate Reasoning, AE for “IEEE Transactions on Systems, Man, and Cybernetics C", Guest Editor for “Information Fusion", 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, the IEEE Transactions on Fuzzy Systems, 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.
Professor Cuzzolin has served in the TCP of around 80+ international conferences, including IJCAI, the premiere conference in Artificial Intelligence, IEEE SMC, BMVC, ACCV and IPMU, and is Senior Program Committee member of Uncertainty in Artificial Intelligence (UAI), the top venue in uncertainty theory.
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.
He was keynote an invited speaker at several international conferences and workshops.
Fabio is a member of IEEE, the British Machine Vision Association, the Society for Imprecise Probabilities and Their Applications, and a three-term member of the Board of Directors of the Belief Functions and Applications Society (BFAS).