Students

Current Students:

Research Scholars

Jayati Vijaywargiya  : Advancing Urban Airborne LiDAR Point Clouds to Geospatial Analysis Ready Data by Classification, Schematic Representation, and Query Efficient Restructuring (thesis submitted)

Bhargav Ashok Parulekar : Visual Foundation models for High resolution images

Jayakumar (Co-supervisor) : AR/VR with 3D Remote sensing data

Mohana M : LiDAR point cloud processing

Junior Research Fellow:

Greeshma : ALS for smart cities

M Tech Students

Reejo Daniel

Shyamacharan Jana

Ashwin

Abhimanyu

Mahesh Baiju

Past Students:

Junior Research Fellow:

Vishakh Adolph

MTech thesis

• Hrishikesh Katkar  (2025): AnOpen-Source Framework for 3D Analysis of Building-Level Solar Potential in Complex Urban Environments : Case study of Thiruvananthapuram, India 

• Prashanth Katoch (2025)  : Automating aircraft detection : An yolo V8 approach

• Anakha A S (2025) ML Based 3D wireframe reconstruction of building roofs from Airborne LidAR point cloud with Prof Dimple Shajahan

• Kausthubh Manoj Majumdhar (2024) A framework for comprehensive assessment of agro-economic health of Indian villages using satellite imagery Collaboration with Rashmi Singh, Dr Satyam Sahay, John Deere

• Prashanth Angarakh (2024) LiDAR based Facility mapping and 3D Visualisation 

• Sukhwinder Singh (2024) Avalanche Susceptibility Mapping using Analysitc Hierachical Process with Multi Criteria Weighted OVerlay for Leh-Parthapur Road Axis

• Sanjay Saifi (2022) Web-based visualisation and rendering of the aerial LiDAR data for urban flood scenario

• Pyare Lal(2022) Semantic Segmentation of Point cloud using Deep Learning approaches

• Anindya Palaparthi (2022) Deep learning based classification of agricultural and horticultural crops

• Chetan Bhajiya (2022) Biomass estimation int eh western Ghats integrating ICESAT 2, GEDI and Sentinel 2

• Himansu Behera (2021) 3D urban flood modelling from LiDAR data

• Amala Maria George (2021) Automatic change detection in buildings using deep learning

• Bibin Wilson (2016) Integration of LiDAR and hyperspectral data for understanding the vegetation structure characterization Co Guide: Dr Rama Rao

• Saheba Bhatnagar (2017) Active learning based hyperspectral and LiDAR image classification Co Guide: Dr Rama Rao N

• Midhun Mohan (2017) 3D Reconstruction of trees and biophysical parameters estimation from LiDAR point cloud Co Guide: Dr Rama Rao N

• Dhanusha Syam (2017) Local climatic zones mapping using object based image classification

• Athul Kaitheri(2018) Mapping and monitoring the dynamics of earth surface at fine resolution Co Guide: Dr Rama Rao N

• Abhinav Galohda (2018) Deep learning based hyperspectral image classification Co Guide: Dr Rama Rao N

• Preethi PM(2018) 3D Campus Modelling of IIST campus using Terrestrial laser scanner

• Asif Mustafa (2018) 3D Mapping of Koyikkal Palace using Terrestrial Laser Scanning

BTech Thesis

• Aravindh Subramanian (2024) Automated extraction of Building Footprints from Multi platform data using Machine learning applications

• Nischal Singh (2024) 3D LiDAR point cloud classification using Deep learning architectures

• Siddharth Singh Chauhan (2023) Localisation in Mixed reality based Indoor navigation system using point cloud registration

• Himanshu Saini (2019) Semantic Labelling of Airborne LiDAR data using Deep Learning

• Amith kumar VP (2016) Segmentation of IIST-TLS data

• Rohit Pradhan (2013) 3D building reconstruction using aerial LiDAR data

BTech/MTech Internship

• Gautham Ramasamy (2025)  Visual foundation models for high resolution UAV data processing

• Pavithra Subramaniom ( 2025) Flood modeling for kuttanad regions

• Alex Mathew (2024) Software for pointcloud classification

• Nischal Singh (2023) : SAM-based UAV data classification.

• Lokesh Javvaji (2023) : SAM based LiDAR point cloud classification.

• Ajith (2023): Development of software module for pointcloud to cityGML

• Layana Vijayan (2023) Urban flood modelling of karamana region in Trivandrum using ALS derived DEM. 

• Nawra Praveen (2023) Comparison of DEM derived from GEDI ICESAT with standard DEM for Indian terrain.

• Ajaykumar R and Luxhna R, Airborne LiDAR point cloud classification: A comparative study on popular LiDAR processing tools

• Purnima Jayaraj , 3D CityGML building modelling from Airborne LiDAR point cloud data

• Preethi PM, 3D Reconstruction of building from Terrestrial laser scanner

• Ankit Patel, 3D Building extraction from airborne LiDAR data using clustering techniques

• Jubina CK, 3D reconstruction of buildings and creation of fly through animation.

• Amith kumar VP, Modified voxel cloud connectivity algorithm for generating supervoxels using matlab

• Saurabh Tripathi, 3D boundary extraction from LiDAR point cloud using alpha shape algorithm

• Arun R Nath, 3D reconstruction of buildings from LiDAR data using microstation

• Sandra Maria Cherian, Comparison between object based and pixel based technique for high resolution image classification

• Anitha P, Machine Learning algorithms using matlab

• Manish Sharma, Evaluation of machine learning algorithms for LiDAR point cloud classification

• Ashish Bisht , Image Classification and Enhancement for assessment of classification accuracy

• Sridhar Naik, Comparison of Object based and Pixel based classification techniques for land cover classification

• Rohit Pradhan, A study of Spectral Vegetation Indices using UV and NIR bands of GOSAT-CAI