Mangal Raj P

Mangal Raj P

Associate Professor

Education

Ph. D.

Dr. Mangalraj, is having 14+ years of experience in academics and research. He is currently serving as an Associate Professor in the Dept of Computer Science and Engineering at GITAM-Bengaluru. He has published more than 30 papers in referred journals and conferences. He is serving as technical consultant for Bug Treat Technologies and Digifuse. He completed his Doctor of Philosophy from Indian Institute of Information Technology-Allahabad during 2013-2017.

Research Publications

  • Target detection in SAR images using SIFT
  • A review of multi-resolution analysis (MRA) and multi-geometric analysis (MGA) tools used in the fusion of remote sensing images
  • Identification of early heat and water stress in strawberry plants using chlorophyll-fluorescence indices extracted via hyperspectral images
  • Recent trends and advances in hyperspectral imaging techniques to estimate solar induced fluorescence for plant phenotyping
  • A novel algorithm for identifying the optimal CNN architectures regulated by swarm intelligence

Ongoing Research Projects

  • Check Icon Creating 3D virtual Tour of GITAM University, Bengaluru.
  • Check Icon Virtual Chord for GST, Bengaluru
  • Check Icon Inducing the vocational education for the underdeveloped using cooperative learning technologies (AR/VR): Tapping the untapped potential in Rural India
  • Check Icon Development of an Intelligent Irrigation System for the Seasonal Crops in Rural Karnataka in correspondence with Soil Moisture Retrieval Using Scalable Remote Sensing Techniques.
  • Check Icon Mapping of Potential underwater sources in Rural Bengaluru for a sustainable future

Expertise

  • Check Icon GeoInformatics
  • Check Icon Augmented and Virtual Reality Application Development
  • Check Icon Hyperspectral Image Analysis for Non Invasive Quality Assessments
  • Check Icon Subsurface Analysis using Non Invasive Technologies
  • Check Icon Soil Moisture Retrieval using SAR Imageries

Authored Books

  • Check Icon Quantum ML Approaches chapter in Quantum Machine Learning: A Modern Approach
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