Philip Riches

Philip Riches serves as an Associate Professor in the Department of Biomedical Engineering within the Faculty of Engineering at the University of Strathclyde, UK. His research bridges experimental biomechanics, computational modeling, and clinical orthopaedics, with significant contributions to hip/knee arthroplasty and spinal biomechanics through advanced material analysis techniques.

Education:

• Master of Science in Industrial and Environmental Modelling, University of Bristol (1999)
• Doctor of Philosophy in Knoop Microhardness of Diaphyseal Bone, University of Bristol (1998)
• Master of Science in Bioengineering, University of Strathclyde (1995)
• Bachelor of Engineering, University of Bristol (1994)

Dr. Riches' research program focuses on orthopaedic device innovation, robotic/haptic surgical systems, and advanced tissue characterization using poroelastic modeling, atomic force microscopy, and nanoindentation. His laboratory investigates bone, cartilage, and engineered tissue constructs to address fundamental challenges in joint replacement and spinal biomechanics, directly supporting UN Sustainable Development Goals through healthcare technology advancement. Current work integrates machine learning with biomechanical analysis for precision orthopaedics.

Recent publications reveal a strategic shift toward AI-driven orthopaedic diagnostics and outcome prediction, combining computational modeling with clinical data to optimize implant design and surgical planning. His team has developed novel frameworks for assessing joint arthroplasty performance while pioneering robotic approaches that enhance surgical accuracy in complex procedures.

Grant Leadership:

• Principal Investigator for EPSRC Centre for Doctoral Training in Prosthetics & Orthotics (2023-2027; £5.2M)
• Principal Investigator for OBERD project with Golden Jubilee National Hospital (2021-2028)

Dr. Riches directs the Biomechanics Laboratory equipped with state-of-the-art materials testing systems including Bose Electroforce 3100/3230 platforms for dynamic mechanical analysis of orthopaedic implants and biological tissues under physiological conditions. His team collaborates extensively with NHS Scotland and international industry partners to translate research into clinical practice.