Dimitri Ognibene

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Dr Dimitri Ognibene is interested in learning and adaptation in complex social environments. In particular he is investigating how open-world assumption and partial observability, common features of real world applications, affect the identification social variables like intentions and agency. 

He is a Marie Skłodowska-Curie Fellowship- COFUND at UPF. He obtained is PhD in Robotics from the University of Genoa and is Visiting Researcher at the Centre for Robotics Research in King's College London. He was previously Research Associate at the Personal Robotics Laboratory in Imperial College London and at Institute of Cognitive Science and Technologies of the Italian Research Council. Dr Ognibene has also been Visiting Researcher at Bounded Resource Reasoning Laboratory in UMass, Amherst (US) and at University of Reykjavik (Iceland). Dr Ognibene’s research has centred on methods and principles for adaptive and proactive management of computational and sensorimotor resources in biological and artificial autonomous systems, which can be seen as an operational definition of the concept of attention in cognitive science. Dr Ognibene presented his work on attention in social and dynamic environments  and adaptation of attention in several international conferences on artificial intelligence, adaptation, and development (IJCAI, ICDL, SAB) and published on international peer-reviewed journals (Cognitive Neuroscience, Motor Control, IEEE TAMD, Frontiers in Neurorobotics, Bioinspiration and Biomimetic). Dr Ognibene was invited to speak at the International Symposium for Attention in Cognitive Systems (2013 and 2014) as well as in various neuroscience, robotics and machine-learning laboratories (The Wellcome Trust Centre for Neuroimaging (2014), Gatsby, UCL, London (2013)). Dr Ognibene is Associate Editor of Paladyn, Journal of Behavioral Robotics, and has been part of the Program Committee of several conferences and symposiums.

Publications

K. Lee, Ognibene, D., Chang, H., Kim, T. K., and Demiris, Y., STARE: Spatio-Temporal Attention RElocation for Multiple Structured Activities Detection., IEEE transactions on image processing: a publication of the IEEE Signal Processing Society, 2015.
D. Ognibene and Demiris, Y., Towards active event recognition, in The 23rd International Joint Conference of Artificial Intelligence (IJCAI13), 2013.

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