Mehdi is a research associate in computational neuromorphic at the University of Manchester, working on the European project PRIMI (Performance in Robot Interaction via Mental Imagery). His contribution focuses on enhancing human-robot collaboration and trust through the development of socially aware robots, leveraging insights from Theory of Mind (ToM). Mehdi hold a Master of Engineering in Robotics from Polytech Sorbonne, followed by a second Master’s in Robotics and AI from Sorbonne University. He pursued a PhD at the University of Manchester as part of the Marie Sklodowska-Curie Innovative Training Networks project PERSEO, under the supervision of Prof. Angelo Cangelosi and Dr. Samuele Vinanzi. His doctoral research explored the integration of ToM into social robots, with an emphasis on personalised interactions in complex environments. This involved the design and evaluation of computational architectures that adapt robot behaviour to the needs and preferences of users. Currently, Mehdi’s research is centred on building cognitive architectures for proactive social robots capable of assisting humans in everyday tasks. His work connects psychological theories and AI, with a particular interest in Bayesian and Reinforcement Learning models.
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