Dr_Rajdeep_Ghosh_ESB_Student_Committee.jpg

Rajdeep Ghosh

(2023 batch alumnus)
  • Enrollment Year

    Aug. 1, 2016

  • Programme

    Research Scholar

  • Roll Number

    166103104

  • Supervisor

    Debabrata Chakraborty

  • Email ID

    rajdeep.mech@alumni.iitg.ac.in

  • Specialization

    Machine Design

  • Personal website


  • About

    Science is very close to my heart. My dream is to foster the beauty and mileage of science in most enjoyable way it is possible to as many people.

    Rajdeep is presently working as full-time Research Associate at the INSIGNEO Institute for in silico Medicine, University of Sheffield, UK with Prof Damien Lacroix and Prof Enrico Dall'Ara in the megaproject, METASTRA. Prior to that, he was working as Senior Project Scientist and thereafter Project Scientist B in the Department of Mechanical Engineering at Indian Institute of Technology Delhi with Dr Kaushik Mukherjee, Assistant Professor, IIT Delhi in an Indo-German Collaborative Project on "Development of patient-specific additively-manufactured mandibular implants with biotechnology-inspired functional lattice structures" funded by Indo-German Science and Technology Centre. He was earlier an Institute Doctoral Fellow during his stay in the Department of Mechanical Engineering at Indian Institute of Technology Guwahati working with Prof. D. Chakraborty in the Fracture Mechanics and Composite Structures Laboratory and Dr S. Chanda of the Department of Biosciences and Bioengineering. He was also associated with Biomechanics and Simulations Laboratory of IIT Guwahati. Before joining the doctoral programme, he worked for Kirloskar Brothers Limited as a Graduate Engineer Trainee (GET) for a short period after completing his major in mechanical engineering from the National Institute of Technology Agartala.

    His research interests are musculoskeletal biomechanics, multiscale mechanobiology, fracture risk assessment, implant design, fracture healing, bone tissue engineering, Soft Computing and optimization.


    PUBLICATIONS


    CONFERENCES:


    • Rajdeep Ghosh, Dipak Sen,"A computational study of very high turbulent flow and heat transfer characteristics in circular duct with hemispherical inline baffles",International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering Vol:9, No:6,World Academy of Science, Engineering and Technology (WASET), 2015
    • Rajdeep Ghosh, Souptick Chanda, Debabrata Chakraborty, "MECHANOBIOLOGY-BASED MICROSCALE STUDY OF INFLUENCE OF SURFACE TEXTURE DESIGN ON PERIACETABULAR BONE INGROWTH", Orthopaedic Proceedings, Vol 101, The British Editorial Society of Bone & Joint Surgery,International Society for Technology in Arthroplasty (ISTA) 31st Annual Congress, London, England, October 2018
    • Rajdeep Ghosh, Souptick Chanda, Debabrata Chakraborty, "Sensitivity Of Osseointegration To The Variation In Geometric Control Factors Of The Macro-textures On The Implant Surface ", Vol 46:0536, Orthopaedic Research Society (ORS), Orthopaedic Research Society(ORS) Annual Meeting, Virtual, February 2021
    • Rajdeep Ghosh, Souptick Chanda, Debabrata Chakraborty, "Neural Network (NN) Based Qualitative Assessment of Bone Growth over Textured Implant Surfaces", 1st International Conference on Advances in Mechanical Engineering and Material Science (ICAMEMS), Amaravati, Andhra Pradesh, January 2022
    • Rajdeep Ghosh, Souptick Chanda, Debabrata Chakraborty, "Combined influence of material properties of bone and implant on bone growth over macro-textured implant surface", North East Research Conclave (NERC), IIT Guwahati, Assam, May 2022
    • Rajdeep Ghosh, Ankan Hazra, Souptick Chanda, Debabrata Chakraborty, " Biomechanical assessment of bone growth over femoral implant with proximal macro-textured surfaces", 9th World Congress of Biomechanics 2022, Taipei, Taiwan, July 2022
    • Ankan Hazra, Rajdeep Ghosh, Souptick Chanda, Debabrata Chakraborty, " In silico assessment of bone growth on proximal surfaces of femoral stem", 8th Asian Conference on Mechanics of Functional Materials and Structures (ACMFMS) 2022 , IIT Guwahati, Assam, India, December 2022
    • Rajdeep Ghosh, Kaushik Mukherjee, "Stress distribution around a temporomandibular joint (TMJ) implant in a reconstructed mandible ", International Conference on Biomaterials, Regenerative Medicine and Devices (BIO-Remedi) 2022, IIT Guwahati, Assam, India, December 2022
    • Rajdeep Ghosh, Anoushka Gupta, Abir Dutta, Garima Khandelwal, Ajoy Roychoudhury, Sudipto Mukherjee, Anoop Chawla, Kaushik Mukherjee, "Biomechanical Evaluation of Narrow TMJ Implant", 18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE) 2023, Paris, France, May 2023
    • Girish Chandra, Rajdeep Ghosh, Garima Khandelwal, Ajoy Roychoudhury, Sudipto Mukherjee, Anoop Chawla, Kaushik Mukherjee, "Mandibular morphometry and TMJ ankylosis: from the perspective of Indian population ", 28th Congress of the European Society of Biomechanics (ESB) 2023, Maastricht, Netherlands, July 2023
    • Devismita Sanjay, Rajdeep Ghosh, Souptick Chanda, "Full-cortical vs Detailed Anatomical Vertebra for Preclinical Assessment of Spinal Implants", 29th Congress of the European Society of Biomechanics (ESB) 2023, Edinburgh, Scotland, UK, July 2024


    JOURNALS:



    BOOK CHAPTER:


    • Rajdeep Ghosh, Souptick Chanda, Debabrata Chakraborty, " Neural Network (NN) Based Qualitative Assessment of Bone Growth over Textured Implant Surfaces ", In: Ketul C Popat, S Kanagaraj, PS Rama Sreekanth, VM Ravindra Kumar (eds) Advances in Mechanical Engineering and Material Science. Select Proceedings of ICAMEMS 2022. Lecture Notes in Mechanical Engineering. Springer Nature.
    • Rajdeep Ghosh, Souptick Chanda, Debabrata Chakraborty, "Combined Influence of Material Properties of Bone and Implant on Bone Growth Over Macro-Textured Implant Surface ", In: Pandey, L.M., Gupta, R., Thummer, R.P., Kar, R.K. (eds) Healthcare Research and Related Technologies. NERC 2022. Springer, Singapore.

    Projects

    • Influence of macro-textured surface on bone growth

      Guide : Debabrata Chakraborty
      Abstract:

      The shape and geometry of surface features on implant surface are known to improve biologic fixation of the implant with the host bone thereby improving secondary (biological) implant stability. Microscopic surface features on implant surface include dimple like depressions, miniaturized protrusions of various shapes, generally spherical for ease of manufacturing, pores etc. whose size range from submicron to a few hundred microns. On the other hand, macroscopic surface features include threading, vents, serrations and many other macroscopic textures having a length scale typically in the order of millimetres and above. Earlier in silico studies have reported the influence of microstructural implant surface features on bone growth but none of the investigations has interrogated the influence of multiple macro-textured implant surfaces on bone growth.

      The goal of the study is to understand the influence of multiple macro-textured implant surfaces on bone growth at the bone-implant interface. Morphology of the surface textures was designed roughly based on the textures found on three different commercial femoral stems. The first phase of the study incorporated bone-implant interface representative models and mechanobiology based finite element study to analyze the combined influence of bone-implant tangential displacement or micromotion and variation in surface morphology on bone growth. The second phase of the study analyzed the combined influence of bone-implant radial displacement or opening/closing of interface gap, tangential displacement, texture density and variation in surface morphology on bone growth. The study is further progressed by enabling soft-computing techniques like neural networks (NN) to predict bone growth with the change in geometrical features of implant surface textures and genetic algorithms (GA) to hunt for an optimal design of surface textures for each of the representative macro-textured implant surfaces.

      This study is partially funded by SPARC, Govt of India, Project ID: SPARC/P705.


    Labs



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