A M RAMIYA

Education

PhD in Remote Sensing , IIST, Thiruvananthapuram (Dissertation: 3D Semantic Labelling of urban LiDAR point cloud and multispectral data)
M.S. in Remote Sensing and Spatial Analysis, University of Southampton, UK (Dissertation : Effect of Atmosphere on object oriented segmentation for land cover classification)
B.E. in Geoinformatics, CEG, Anna University, Chennai (Dissertation : Estimating the Area of Vaigai Reservoir – A Sub Pixel Approach)

Experience

Associate Professor , Indian Institute of Space Science and Technology, Thiruvananthapuram (Jan 2023 – present)
Assistant Professor, Indian Institute of Space Science and Technology, Thiruvananthapuram (Dec 2017 – Dec 2022)
Reader, Indian Institute of Space Science and Technology, Thiruvananthapuram (July 2009 – Dec 2017)
Junior Research Fellow, Centre for Earth Science Studies, Akkulam, Thiruvananthapuram (March 2009 – July 2009)
Software Engineer, Infosys Technologies Ltd, Bangalore (May 2006- July 2007)

My research interests include developing algorithms and methodologies using machine learning techniques for processing very high resolution remote sensing images for natural and man-made resource management. I have experience in handling and processing geospatial images from multispectral/ hyperspectral/ LiDAR sensors captured from various platforms such as satellite, airborne, drone/UAV, ground-based and mobile platforms.

Of particular interest, I focus on data from LiDAR Remote sensing technology, which is one of the most unprecedented geospatial for direct and accurate measurement of elevation of the earth surface leading to 3D mapping of earth surface features. Due to the unstructured nature of the data and its high volume, localizing and extracting various urban objects in 3D perspective from the LiDAR data, remains a challenge.This inherent nature of the point cloud poses several exciting research areas. I have been working on developing algorithms and methodologies related to automated processing of LiDAR point cloud for various applications.

Another main focus is on UAV data processing, wherin I am involved in developing algorithms for processing Multispectral UAV data and point cloud obtained from UAV data for various applications.

Research Interests

LiDAR Point Cloud Processing : Development of Algorithms and techniques, 3D processing/visualization/VR
- Primary Application areas: Urban., agriculture, forest, disaster management, cultural heritage mapping, archaeological studies, industrial application , etc

UAV data processing
- Object extraction using high spatial resolution data
- Point cloud from UAV
Development of processing, analyzing, high spatial/spectral remote sensing images : Hyperspectral/Multispectral/Microwave
- Developing geo-spatial solutions for real world applications related to Urban., agriculture, forest, disaster management etc
Geospatial analysis using open source programming and machine learning techniques,Spatial database, spatial data structures

Teaching

• LiDAR Remote Sensing

• Digital Image Processing of Remotely Sensed Data

• Remote Sensing and Application

• Geographic Information System

• Satellite based Navigation and Positioning

• Introduction to Data Structures, Algorithms and Database Management

• Scientific Computing for Geospatial Data Analysis

• Pattern Recognition and Machine Learning

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