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Mohammad Zubair

Head of Department Mechanical Engineering · Adamas University

https://researchid.co/mdzubair87
@adamasuniversity.ac.in
25Scopus Publications
376Google Scholar Citations
10Google Scholar h-index
10Google Scholar i10-index

Research Interests

Robotics and Biomechanics

Biography

Dr. Mohammad Zubair Head, Department of Mechanical Engineering Adamas University, Kolkata, India Dr. Mohammad Zubair is an accomplished Mechanical Engineer with a Ph.D. in Robotics and over nine years of academic and research experience. He currently serves as the Head of the Department of Mechanical Engineering at Adamas University, where he leads initiatives in academic excellence, research innovation, and industry collaboration. His research expertise lies in robotics, automation, and intelligent systems, with significant contributions to the design and development of robotic manipulators and vibration-damping mechanisms. His work has earned recognition from The Korean Society of Electronic Engineering (2021) and has led to patented innovations through the Indian Patent Office. Dr. Zubair has previously served as a Postdoctoral Researcher at Chungnam National University, South Korea, and as a Senior Research Fellow on a BARC–BRNS-funded project in India.

Education

Ph.D, Department of Mechanical Engineering, May 2019, Indian Institute of Technology Delhi, India. Master of Technology, Mechanical Engineering (Machine Design), June 2011, Jamia Millia Islamia, New Delhi, India Bachelor of Technology, Mechanical Engineering, Jamia Millia Islamia, New Delhi, India

Recent Scopus Publications

  1. Design of Flexure Robotic Hand for Teleoperation
    Lecture Notes in Mechanical Engineering, 2025
  2. Self-folding gravity compensation mechanism for a supplementary folding robot arm: Design, analysis and implementation
    Robotics and Autonomous Systems, 2025
  3. Design and Modelling of Flexure Mechanism Based Gravity Compensation System
    International Conference on Control Automation and Systems, 2024
  4. Investigating the vision-based intervertebral motion estimation of the Cadaver's craniovertebral junction
    Robotica, 2023
  5. Design of Adaptive Sensor Coupling-Based Upper Limb 7-DOF Exoskeleton for Smooth Human Motion Tracking: ASC-EXO
    IEEE Sensors Journal, 2023

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