Dr Vaishakh Raju

Profile

I am a Research Fellow at the Institute of Medical and Biological Engineering, University of Leeds, specialising in computational biomechanics, finite element analysis (FEA), computational mechanics and multibody dynamics. My research combines advanced computational modelling, material characterisation and experimental validation to investigate the mechanical behaviour of biological systems.

My current research focuses on cranial biomechanics and kinesis in bird skulls, where I develop large-scale finite element and multibody dynamic models to study functional performance. This work integrates Python-based computational tools with experimental measurements to improve model fidelity and enhance understanding of biological structures.

During my doctoral research, I developed nonlinear finite element models of the human knee using hyperelastic and viscoelastic constitutive formulations to investigate joint mechanics throughout the gait cycle. I also investigated material optimisation strategies for orthopaedic implants, combining computational analysis with experimental validation to improve mechanical performance.

My broader research interests include computational mechanics, structural simulation, numerical modelling and the development of computational methods that support both biomedical engineering and biologically inspired engineering applications.

Research interests

My research interests focus on computational biomechanics, computational mechanics and numerical simulation, with particular expertise in finite element analysis (FEA), multibody dynamics (MDA), constitutive modelling and material characterisation. I am interested in developing and validating computational models that improve understanding of complex mechanical systems through the integration of simulation and experimental data.

My current research investigates cranial biomechanics and kinesis in bird skulls using advanced finite element and multibody dynamic models. A key aspect of this work is the development of Python-based computational workflows that integrate muscle mechanics with structural simulations, supported by experimental validation of material properties.

This research is supported by the Biotechnology and Biological Sciences Research Council (BBSRC), UK Research and Innovation (UKRI), through the project Understanding Functional Performance in Bird Skulls: Advanced Computational Modelling to Investigate Cranial Biomechanics and Kinesis.

My wider interests include computational modelling, structural mechanics, material behaviour and simulation-driven engineering for applications spanning biomechanics, biomedical engineering and biologically inspired design.

Qualifications

• PhD (Biomechanics)
• M.Tech (Mechanical Engineering)
• B.Tech (Mechanical Engineering)

Student education

I supervise undergraduate engineering research and design projects, guiding computational modelling, finite element analysis, data analysis and scientific communication. I also mentor students in research methods and engineering problem-solving within the School of Mechanical Engineering.