Dr. Chander Prakash

About

I, Chander Prakash, am a researcher and academic with a Ph.D. in Industrial Engineering specializing in Human Factors from the National Institute of Technology Jalandhar, India. My expertise lies in optimizing human-machine interactions, with a focus on workplace safety, ergonomics, and risk management. My research includes advanced methodologies in vibration analysis, AI-driven smart farming, and vehicle comfort. I published extensively in international journals, presented my work globally, and am passionate about decision-making in real and virtual environments, driving innovation in safety and performance optimization.

Employment

• IIMT University Meerut Assistant Professor
  2025 - Present
• Dr. B. R. Ambedkar National Institute of Technology Jalandhar Senior Research Fellow (SRF)
  2021 - 2025
• Dr. B. R. Ambedkar National Institute of Technology Jalandhar Junior Research Fellow (JRF)
  2019 - 2021
• Pannu Polytechnic College Lecturer
  2018 - 2019
• Guru Nanak Dev Engineering College Teaching Assistantship
  2015 - 2017

Education

• Dr. B. R. Ambedkar National Institute of Technology Jalandhar Doctor of Philosophy
  2019 - Present
• Guru Nanak Dev Engineering College Master of Technology
  2015 - 2017
• Ludhiana College of Engineering and Technology Bachelor of Technology
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• Prioritizing Tractor-Driver Safety: An AHP-Based Analysis of Key Factors in Northwestern India’s Agriculture
  Ergonomics in Design: The Quarterly of Human Factors Applications 2025 0 citations DOI: 10.1177/10648046251367187
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• Response surface methodology: optimization dosage of functionalized carbon nanomaterials in mortar
  Structural Concrete 2025 0 citations DOI: 10.1002/suco.70194
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• State-of-the-art in real-time virtual interfaces for tractors and farm machines: A systematic review
  Computers and Electronics in Agriculture 2025 14 citations DOI: 10.1016/j.compag.2025.109947
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• Prediction of hand-arm vibration among tractor operators in different soil tillage operations using artificial neural network-based model
  Computers and Electronics in Agriculture 2025 5 citations DOI: 10.1016/j.compag.2024.109858
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• Adoption of artificial neural network technique to optimise the whole-body vibration
  International Journal of Vehicle Performance 2024 1 citation DOI: 10.1504/IJVP.2024.140039
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• Experiment and optimisation analysis of whole-body vibration among tractor drivers: a comprehensive study
  International Journal of Heavy Vehicle Systems 2024 4 citations DOI: 10.1504/ijhvs.2024.136241
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• Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation
  Sensors and Actuators A: Physical 2023 159 citations DOI: 10.1016/j.sna.2023.114605
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• Optimization of Daily Vibration Dose during Different Ride Parameters among Tractor Driving
  SAE International Journal of Transportation Safety 2023 1 citation DOI: 10.4271/09-11-03-0009
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• Future Consideration and Challenges in Women’s Health Using AI
  Combating Womens Health Issues with Machine Learning Challenges and Solutions 2023 4 citations DOI: 10.1201/9781003378556-13
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• Role of AIoT-based intelligent automation in robotics, UAVs, and drones
  Aiot Technologies and Applications for Smart Environments 2023
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