OGNIBENE DIMITRI

Role
Associate professor  
Academic disciplines
Information Processing Systems (IINF-05/A)
Scientific-Disciplinary Group:
INFORMATION PROCESSING SYSTEMS (09/IINF-05)
Office phone
Room:
  • 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

  • Sánchez-Reina, J., Theophilou, E., Hernández-Leo, D., Ognibene, D. (2024). Exploring undergraduates' attitudes towards ChatGPT. Is AI resistance constraining the acceptance of chatbot technology?. Intervento presentato a: https://helmeto2023.altervista.org/program/, Foggia, Italy. Detail

  • Rho, G., Callara, A., Bossi, F., Ognibene, D., Cecchetto, C., Lomonaco, T., et al. (2024). Combining electrodermal activity analysis and dynamic causal modeling to investigate the visual-odor multimodal integration during face perception. JOURNAL OF NEURAL ENGINEERING, 21(1) [10.1088/1741-2552/ad2403]. Detail

  • Gabbiadini, A., Ognibene, D., Baldissarri, C., Manfredi, A. (2024). The emotional impact of generative AI: negative emotions and perception of threat. BEHAVIOUR & INFORMATION TECHNOLOGY [10.1080/0144929X.2024.2333933]. Detail

  • Donabauer, G., Theophilou, E., Lomonaco, F., Bursic, S., Taibi, D., Hernandez-Leo, D., et al. (2024). Empowering Users and Mitigating Harm: Leveraging Nudging Principles to Enhance Social Media Safety. In TRAC 2024: 4th Workshop on Threat, Aggression and Cyberbullying at LREC-COLING 2024 - Workshop Proceedings (pp.155-166). European Language Resources Association (ELRA). Detail

  • Ferdowsi, S., Ognibene, D., Foulsham, T., Greco, A., Callara, A., Cervera-Torres, S., et al. (2023). Human body odour modulates neural processing of faces: Effective connectivity analysis using EEG. In Proceedings - IEEE Symposium on Computer-Based Medical Systems (pp.858-863). Institute of Electrical and Electronics Engineers Inc. [10.1109/CBMS58004.2023.00332]. Detail

Research projects

IDEAL - Integrating Data Analysis and AI in Learning experiences
Year: 2024
Call: Cooperation partnerships in higher education
Grantors: EUROPEAN COMMISSION
COURAGE- A Social Media Companion Safeguarding and Educating Students
Year: 2020
Call: Artificial Intelligence and the Society of the Future
Grantors: VOLKSWAGEN STIFTUNG (Volkswagen Foundation)

Awards

Editorial boards

  • Direttore di rivista, collana editoriale, enciclopedia - PALADYN, 2013

Research and teaching assignments

  • Ricercatore all estero - Postdoctoral Research Associate with Dr. Yiannis Demiris in the Personal Robotics Laboratory - Imperial College London, 2011 - 2013
  • Ricercatore all estero - Postdoctoral Research Associate with Dr. Thrishantha Nanayakkara in the Centre for Robotics Research - King's College London, 2014 - 2015
  • Ricercatore 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 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