Farshad Tajddinisarvestani is a Work Study Student for the Digital Humanities Project. Farshad is currently a PhD student at the University of Toronto, specializing in the fields of mechanical and industrial engineering. His research revolves around the fascinating realm of data-driven modeling, In-Silico experiments, and In-Vivo visualization of cardiovascular flows using cutting-edge techniques such as medical imaging, patient-specific and physics-based simulations, reduced order modelling, and machine learning. In his work on the Digital Humanities Project, Farshad utilizes artificial intelligence (AI) and natural language processing (NLP) techniques to unlock valuable insights and facilitate novel approaches to understanding various aspects of the works of Persian poets.
Department of Mechanical & Industrial Engineering & The Department of Near and Middle Eastern Civilizations