Dr.Saikat Chakraborty

About

Saikat Chakraborty obtained his B.Tech from the West Bengal University of Technology, M.Tech from Jadavpur University, and Ph.D. from NIT Rourkela, India. He has research experience of 2 years in sentiment analysis and computer vision, and 4 years in computational biomechanics. He worked as a Visiting Researcher at the Tokyo University of Agriculture and Technology, Japan. He is a reviewer of many international journals & books in the field of computational biomechanics and human gait analysis. His current research interest includes clinical gait analysis using computational intelligence.

Employment

• Birla Institute of Technology, Mesra Assistant Professor
  2024 - Present
• Kalinga Institute of Industrial Technology Assistant Professor
  2021 - 2024
• C V Raman Global University Assistant Professor
  2021 - 2021

Education

• National Institute of Technology Rourkela PhD
  2016 - 2021
• Jadavpur University M.Tech
  2012 - 2015
• Academy of Technology B.Tech
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Gait Event Prediction of People with Cerebral Palsy using Feature Uncertainty: A Low-Cost Approach
  2023 DOI: 10.1145/3577190.3614125
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• An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach
  Soft Computing for Problem Solving 2023 DOI: 10.1007/978-981-19-6525-8_7
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• Pathological Gait Detection Based on Multiple Regression Models Using Unobtrusive Sensing Technology
  Journal of Signal Processing Systems 2020 DOI: 10.1007/s11265-020-01534-1
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• Accuracy of image data stream of a markerless motion capture system in determining the local dynamic stability and joint kinematics of human gait
  Journal of Biomechanics 2020 DOI: 10.1016/j.jbiomech.2020.109718
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• Gait deficits and dynamic stability in children and adolescents with cerebral palsy: A systematic review and meta-analysis
  Clinical Biomechanics 2020 DOI: 10.1016/j.clinbiomech.2019.09.005
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• An Unsupervised Approach for Gait Phase Detection
  4th International Conference on Computational Intelligence and Networks, CINE 2020 2020 DOI: 10.1109/CINE48825.2020.234396
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• Automatic Diagnosis of Cerebral Palsy Gait using Computational Intelligence Techniques: A Low-Cost Multi-Sensor Approach
  IEEE Transactions on Neural Systems and Rehabilitation Engineering 2020 DOI: 10.1109/tnsre.2020.3028203
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• Reply to Dr. Sina Mehdizadeh
  Journal of Biomechanics 2020 DOI: 10.1016/j.jbiomech.2020.109812
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• A Graph-based Ranking Approach to Extract Key-frames for Static Video Summarization
  arXiv e-prints 2019
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• Comparison of Local Dynamic Stability of Treadmill Gait Data in Three Different Planes Through Maximal Lyapunov Exponent
  2018 International Conference on Computing, Power and Communication Technologies (GUCON) 2018 DOI: 10.1109/gucon.2018.8674921
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