Mohammad-Javad Darvishi-Bayazi

Javad Bayazi is an Artificial Intelligence (AI) Research Scientist at Hydro-Québec Research Institute (IREQ) where he focuses on developing innovative AI solutions for the renewable energy sector, with particular emphasis on foundation models and time series forecasting. Prior to this role, he was a PhD student at Mila - Quebec Artificial Intelligence Institute (Mila) and the Université de Montréal (UdeM), working under the supervision of Jocelyn Faubert and Irina Rish. Javad’s research focuses on robustness and transfer learning in artificial neural networks, with recent work evaluating and developing foundation models and time series forecasting (Google Scholar, Web of Science). He has dedicated his academic career to exploring the frontiers of AI, aiming to develop models that are not only accurate but also reliable and adaptable. Javad’s contributions to the field are poised to make significant impacts on both theoretical research and practical applications in AI and cognitive science.

Beyond research, Javad actively contributes to the scientific community as a peer reviewer across machine learning & AI, medicine & healthcare, engineering, and finance sectors. For an overview of his reviewing and professional activities, please visit Services.