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Prof. Rajat Garg

Assistant Professor
Email: rajat.garg@lloydcollege.in
  • Qualification : B.Tech, M.Tech, Ph.D(Pursuing)
  • Experience : +3 year
  • Area of Specialization : SAR Based Remote Sensing, Machine Learning, and Deep Learning
  • Publication : 3

Prof. Rajat Garg received his M.Tech. degree in Automotive Engineering from VIT University, Vellore and B.Tech. degree in Mechanical Engineering from I.K. Gujral Punjab Technical University, Jalandhar. He is pursuing PhD in Computer Engineering from UPES, Dehradun. His interest areas are SAR based Remote Sensing, Geoinformatics, Machine Learning and Deep Learning.

    Journal Publications:

  • 1. Garg, R., Kumar, A., Bansal, N. et al. Semantic segmentation of PolSAR image data using advanced deep learning model. Sci Rep 11, 15365 (2021). https://doi.org/10.1038/s41598-021-94422-y
  • 2. Rajat Garg, Anil Kumar, Manish Prateek, Kamal Pandey, Shashi Kumar, “Land cover classification of spaceborne multifrequency SAR and optical multispectral data using machine learning”, Advances in Space Research, 2021, ISSN 0273-1177, https://doi.org/10.1016/j.asr.2021.06.028
  • 3. Gaurav Goel, Rajat Garg, Tarun Ranjan, Pratyanshu Soni and Baskar P.,“Structural and Modal Analysis of a Ladder Frame Chassis”, ARPN Journal of Engineering and Applied Sciences, VOL. 11, NO. 23, ISSN 1819-6608, 2016
  • Conferences and Seminars

  • 1. Rajat Garg, Anil Kumar, and Shashi Kumar, “Implementation of Semantic Segmentation of UAVSAR Data”, The Proceedings of National Seminar on ‘Recent Advances in Geospatial Technology & Applications’, March 02,