Mohammad Mahdi Dehshibi (IEEE Senior Member and ELLIS Member) is a researcher with a PhD in AI. His research interests include Deep Learning, AI in Health, Affective Computing, and Unconventional Computing. After completing his postdoctoral fellowship at Universidad Oberta de Catalunya, he obtained an R3-level researcher certificate from AQU. He has contributed to various EU-funded projects as a senior machine learning scientist. Mohammad currently leads the data modelling work package of the BODYinTRANSIT ERC-funded project at Universitat Carlos III de Madrid. Additionally, he is a visiting researcher at the Unconventional Computing Laboratory (UWE, Bristol) and a member of the editorial board for the International Journal of Parallel, Emergent, and Distributed Systems.