OGNIBENE DIMITRI
- U06, Floor: 4, Room: 4074
Biography
Dimitri Ognibene is Associate Professor of Human Technology Interaction at the University of Milan-Bicocca, Italy. His main interest lies in understanding how social agents with limited sensory and computational resources can adapt to complex and uncertain environments, how this can induce suboptimal behaviors such as addiction or antisocial behaviors, and how this understanding can be applied to real life problems. To this end it develops both neural and Bayesian models and applies them both in the physical field, e.g., robots, and virtual, e.g., social media, settings.
Before joining Milano Bicocca University, he was at the University of Essex as Lecturer in Computer Science and Artificial Intelligence from October 2017 having moved from University Pompeu Fabra (Barcelona, Spain) where he was a Marie Curie Actions COFUND fellow. Previously he developed algorithms for active vision in industrial robotic tasks as a Research Associate (RA) at Centre for Robotics Research, Kings’ College London. He developed Bayesian methods and robotic models for attention in social and dynamic environments as an RA at the Personal Robotics Laboratory in Imperial College London. He studied the interaction between active vision and autonomous learning in neuro-robotic models as an RA at the Institute of Cognitive Science and Technologies of the Italian Research Council (ISTC CNR). He also collaborated with the Wellcome Trust Centre for Neuroimaging (UCL) to study how to model exploration in the active inference modelling paradigm. He has been Visiting Researcher at Bounded Resource Reasoning Laboratory in UMass and at University of Reykjavik (Iceland) exploring the symmetries between active sensor control and active computation or metareasoning. He obtained his PhD in Robotics in 2009 from University of Genoa with a thesis titled “Ecological Adaptive Perception from a Neuro-Robotic perspective: theory, architecture and experiments” and graduated in Information Engineering at the University of Palermo in 2004.
He is associate editor of "Cognitive Computation and Systems", handling editor of "Cognitive Processing", review editor for "Paladyn, The journal of Behavioral Robotics", "Frontiers Bionics and Biomimetics", and "Frontiers Computational Intelligence in Robotics", guest associate editor for "Frontiers in Neurorobotics", "Frontiers in Cognitive Neuroscience" and section "Systems & Control Engineering" of Electronics published by MDPI. He has been chair of the robotics area of several conferences (e.g. VISAPP) and workshops.
Publications
Koyuturk, C., Guidotti, S., Ognibene, D. (2026). The Hidden Cost of Contextual Sycophancy: An AI Literacy Intervention in Human–AI Collaboration. In Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers 27th International Conference, AIED 2026, Seoul, South Korea, June 27 – July 3, 2026, Proceedings, Part I (pp.312-319) [10.1007/978-3-032-29788-4_44]. Detail
Guidotti, S., Donabauer, G., Taibi, D., Vizzari, G., Kruschwitz, U., Ognibene, D. (2026). Introducing a Novel Framework for Recognizing Social Media Recommenders Under Absent Recommendations and a First Graph Neural Network-Based Implementation. Intervento presentato a: 7th International Workshop on Agents for Societal Impact (ASI). In conjunction with the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Paphos, Cyprus. Detail
Martinenghi, A., Guidotti, S., Donabauer, G., Koyuturk, C., Ortiz Beltran, A., Theophilou, E., et al. (2026). Genie Training the Wisher: Six-Dimension Task-Agnostic AI Coaching for Learning Transferable LLM Prompting Skills. In Artificial Intelligence in Education 27th International Conference, AIED 2026, Seoul, South Korea, June 27–July 3, 2026, Proceedings, Part IV (pp.424-438) [10.1007/978-3-032-29763-1_29]. Detail
Guidotti, S., Donabauer, G., Taibi, D., Vizzari, G., Kruschwitz, U., Ognibene, D. (2026). Toward Recognizing Social Media Recommenders under Absent Recommendations: A Graph Neural Network-based Approach. In AAMAS '26: Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems (pp.3658-3660). Association for Computing Machinery, Inc [10.65109/ymxq7472]. Detail
Ferdowsi, S., Foulsham, T., Rahmani, A., Ognibene, D., Citi, L., Li, W. (2025). Identifying the human olfactory and chemosignaling neural networks using event related fMRI and graph theory. SCIENTIFIC REPORTS, 15(1) [10.1038/s41598-025-96355-2]. Detail
Research projects
Awards
Editorial boards
- - PALADYN, 2013
Research and teaching assignments
- Ricercatore/Ricercatrice all’estero - Postdoctoral Research Associate with Dr. Yiannis Demiris in the Personal Robotics Laboratory - Imperial College London, 2011 - 2013
- Ricercatore/Ricercatrice all’estero - Postdoctoral Research Associate with Dr. Thrishantha Nanayakkara in the Centre for Robotics Research - King's College London, 2014 - 2015
- Ricercatore/Ricercatrice all’estero - UPFellow Marie Curie COFUND Fellowship with Prof. Hector Geffner and Prof. Gustavo Deco - Universitat Pompeu Fabra, 2015 - 2017
- Visiting Researcher - Visiting Researcher with Prof. Kristinn R. Thrisson. Project: HUMANOBS - FP7 - Reykjavik University, 2009
- Ricercatore/Ricercatrice all’estero - Lecturer in Computer Science and Artificial Intelligence - University of Essex, 2017
- Visiting Researcher - Role: Visiting Researcher with Prof. Shlomo Zilberstein in the Resource Bounded Reasoning Lab (RBRLAB). - University of Massachusetts Amherst, 2010
Congresses/Conferences
- Program chair - HAI2016 - Human-Agent Interaction, 2016