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HARSH KAPADIA

Assistant Professor, Electronics and Instrumentation Engineering Department · Institute of Technology, Nirma University

https://researchid.co/harsh291188
@nirmauni.ac.in
21Scopus Publications
90Google Scholar Citations
6Google Scholar h-index
3Google Scholar i10-index

Research Interests

Machine Vision Image Processing Embedded Systems

Biography

Prof Harsh K Kapadia is working as an Assistant Professor in Electronics and Instrumentation Engineering Department. He has more than 10 years of teaching and research experience. He has obtained MTech in Instrumentation and Control Engineering from Dharmsinh Desai University, Nadiad in 2012. He has published more than 15 research articles in national/international conferences. He has guided 7 post graduate students and several graduate students for their project work. He has filed two Indian patent along with other professors of the institute. He has successfully carried out three minor research projects funded by Nirma University. He is pursuing PhD on "Applications of advanced imaging techniques for concrete damage characterization". He has mentored Team Con-Sol-E for Mitsubishi Electric Cup ( A national level automation competition for students) which won the silver cup consecutively three times in a row (2017,2018 and 2019) and gold cup in 2020. His research areas include Image Pr

Education

Master of Technology in Instrumentation and Control Engineering

Recent Scopus Publications

  1. Development of a Comprehensive Approach for Precise Positioning and Orientation of Multiple Mobile Robots in a Specified Formation Using Computer Vision and the Internet of Things
    Serbian Journal of Electrical Engineering, 2026
  2. A novel deep learning pipeline for coronary artery analysis in X-ray angiography
    Engineering Applications of Artificial Intelligence, 2025
  3. Evaluation of Tilt Angle Estimation Techniques in Single-Axis Solar Trackers
    2025 2nd International Conference on Integration of Computational Intelligent System Icicis 2025, 2025
  4. Implementation of Computer Vision Technique for Crack Monitoring in Concrete Structure
    Journal of the Institution of Engineers India Series A, 2023
  5. Convolutional neural network based improved crack detection in concrete cubes
    International Journal of Computing and Digital Systems, 2023

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