Dr Rajdeep Ghosh
Department of Mechanical Engineering
Research Associate
+44 114 222 6072
Full contact details
Department of Mechanical Engineering
Pam Liversidge Building
Mappin Street
Sheffield
S1 3JD
- Profile
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I am a Research Associate in Mechanical Engineering at the University of Sheffield and I am also associated with the Integrated Musculo Skeletal Biomechanics (IMSB) group at the Insigneo Institute. Presently, I am working with Professor Damien Lacroix and Professor Enrico Dall’Ara on the METASTRA project that aims to transform fracture risk assessment in cancer patients with vertebral metastasis.
- Qualifications
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I completed my bachelors with a major in mechanical engineering from the National Institute of Technology Agartala, India (2011-2015) and a PhD (2017-2023) in bone biomechanics and computational mechanobiology from the Indian Institute of Technology Guwahati, India.
During my PhD with Professor Debabrata Chakraborty and Dr Souptick Chanda, I investigated the influence of implant textures on osseointegration followed by development of a neural network-genetic algorithm based pipeline towards design optimization of those textures for better secondary stability of the implant.
Thereafter, I joined Orthopaedic Biomechanics and Implant Design (OBID) group as a Postdoc (2022-2023) at the Indian Institute of Technology Delhi, India with Dr Kaushik Mukherjee where I worked in a consortium project “add-Bite” towards design and development of lattice-structured temporomandibular joint (TMJ) implants for Indian patients suffering from TMJ ankylosis.
- Research interests
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My future research interests are primarily translational and interdisciplinary in nature focussing towards the areas at the intersection of machine learning, biomechanics and healthcare.
- Publications
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Journal articles
- Computational assessment of growth of connective tissues around textured hip stem subjected to daily activities after THA. Medical & Biological Engineering & Computing, 61(2), 525-540.
- Application of finite element analysis to tissue differentiation and bone remodelling approaches and their use in design optimization of orthopaedic implants: A review. International Journal for Numerical Methods in Biomedical Engineering, 38(10).
- Influence of sequential opening/closing of interface gaps and texture density on bone growth over macro-textured implant surfaces using FE based mechanoregulatory algorithm. Computer Methods in Biomechanics and Biomedical Engineering, 25(9), 985-999.
- Qualitative predictions of bone growth over optimally designed macro-textured implant surfaces obtained using NN-GA based machine learning framework. Medical Engineering & Physics, 95, 64-75.
- The influence of macro-textural designs over implant surface on bone on-growth: A computational mechanobiology based study. Computers in Biology and Medicine, 124, 103937-103937.
Chapters
- Combined Influence of Material Properties of Bone and Implant on Bone Growth Over Macro-Textured Implant Surface, Healthcare Research and Related Technologies (pp. 243-254). Springer Nature Singapore
- Neural Network (NN) Based Qualitative Assessment of Bone Growth Over Textured Implant Surfaces, Lecture Notes in Mechanical Engineering (pp. 159-169). Springer Nature Singapore
- Computational assessment of growth of connective tissues around textured hip stem subjected to daily activities after THA. Medical & Biological Engineering & Computing, 61(2), 525-540.