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Dr. Bhrigu Kumar Lahkar

Assistant Professor

JBMSHST, IIT Guwahati

Email | Phone: bklahkar@iitg.ac.in | +91 69009 53272

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Key Research Areas: Rehabilitation and Sports Biomechanics, Neuro-Musculo-Skeletal Digital Twins, Muscle Electromechanics and Strength Assessment, Deep Learning-based Pose Estimation, Frugal Medical Devices, AI-Driven Behavioral Phenotyping, Vision-based Matrices in Preclinical Oncology

Education

  • PhD – Arts et Métiers - École Nationale Supérieure d'Arts et Métiers (2020)
  • M.S. – Biomedical/Medical Engineering – Université Paris Descartes (2017)
  • M.Eng. – Computer Aided Design and Manufacturing – Thapar Institute of Engineering and Technology (2016)
  • B.Tech. – Mechanical Engineering – Tezpur University (2010)

Experience

  • 2010 – 2014 Design Engineer, Larsen & Toubro
  • 2021 Postdoctoral Researcher, IIT Madras
  • 2021 – 2023 Postdoctoral Researcher, Université Gustave Eiffel
  • 2023 – 2024 Assistant Professor, Université de Lyon
  • 2024 – 2026 Assistant Professor, IIT BHU
  • 2026 – till date Assistant Professor, IIT Guwahati

Research Focus

    Looking for motivated individuals who are passionate about translational and exploratory ground-breaking studies in Biomedical Engineering. Selected candidates will have the opportunity to work on innovative projects as follows:

  • Translational Project Areas:
  • Development of Computer Vision and AI-Based Systems for Sports and Rehabilitation Monitoring
  • Development of Muscuskeletal Twins for Strength Assessment
  • Design and Development of Low-cost Assitive Devices (e.g, Exoskeletons, Orthosis)
  • Design and Development of wearables (e.g., IMUs) for real-time sports-performance assessment
  • Exploratory Project Areas:
  • Understanding neuromuscular control of movements
  • Neuromusculoskeletal Modeling
  • AI-based Behavioural Phenotyping in Human and Rodents with Neurological/Neurodegenerative Disoders
  • Skeletal Muscle Strength Assessment in Humans and Rodents

Key publications

  • Accuracy of a markerless motion capture system in estimating upper extremity kinematics during boxing
  • Agreement between a markerless and a marker-based motion capture systems for balance related quantities
  • Development and evaluation of a new methodology for Soft Tissue Artifact compensation in the lower limb
  • Description, Development and Dissemination of Two Consistent Marker-based and Markerless Multibody Models
  • Fast quasi-automated 3D reconstruction of lower limbs from low dose biplanar radiographs using statistical shape models and contour matching

External Profiles