Mehran Ashouri-Sanjani

PhD Candidate, University of Toronto
Research Assistant, University of Alberta

Mehran is a Ph.D. candidate in Mechanical and Industrial Engineering at the University of Toronto, where his research focuses on the development of graphene-based polymer composites with engineered architectures for enhanced functional performance. With a foundation in solid mechanics, his doctoral work introduced novel hierarchical composite systems designed to achieve tunable structural, electrical, and mechanical properties. He is currently expanding his PhD research in collaboration with NanoAIM at the University of Alberta to integrate computational modeling and artificial intelligence into materials research, leveraging data-driven approaches and predictive modeling to optimize composite architectures, uncover structure–property relationships, and accelerate the design of multifunctional materials. This combination of structural engineering and AI-assisted modeling positions his research at the intersection of advanced manufacturing and intelligent materials discovery.

Research Interests

• AI-Driven Materials Discovery and Design
• Data-Enhanced Modeling of Functional Composites
• Graphene and Polymer-Based Nanostructured Materials
• Multilayer and Hierarchical Architectures
• Structure–Property Relationships in Advanced Materials
• Advanced Manufacturing of Functional Polymers and Composites