معرفی
Jorge Grasa is an Associate Professor at the Department of Mechanical Engineering, University of Zaragoza. His research focuses on computational mechanics with applications in biomechanics, food engineering, and material fatigue analysis. He holds a Ph.D. (2007) and M.Sc. (2001) in Mechanical Engineering from the University of Zaragoza.
Research Interests: His work spans computational modeling of biological tissues (tendons, muscles, ocular lenses), finite element methods for soft tissue mechanics, food cooking simulation, and digital twin technologies for industrial processes. He has pioneered studies on tendon scaffold fabrication, non-contact tonometry for intraocular pressure assessment, and muscle fatigue mechanisms linked to calcium signaling.
Awards: Received the Quercus Hernández Best Thesis Award from SEMNI. His research bridges engineering and medicine, with applications in presbyopia mechanisms, tendon repair strategies, and food quality optimization.
Key Contributions: Developed validated models for abdominal wall hernia repair, steak cooking dynamics, and 3D muscle contraction simulations. His work integrates multi-scale approaches and machine learning (e.g., POD-NN for corneal property estimation).
