01 Overview

Developing intelligent systems for real-world geospatial challenges

My research focuses on creating practical solutions at the intersection of deep learning and remote sensing. From land use classification to satellite image analysis and spatial pattern discovery, I work on developing AI-powered tools that address complex environmental and urban planning challenges.

I collaborate with national and international researchers and have received funding from prestigious agencies like DST-ICPS and ISRO RESPOND for innovative research projects.

Innovation

Novel deep learning architectures for satellite imagery

Impact

Applications in environmental monitoring

Collaboration

National & international partnerships

02 Areas

Core research domains and expertise

Artificial Intelligence & Machine Learning

Deep learning models, neural network architectures, intelligent systems for pattern recognition and predictive analytics

Deep Learning Neural Networks

Remote Sensing & GIS

Satellite image processing, land use/land cover mapping, cloud removal techniques, and geospatial data analysis

Sentinel-2 SAR

Data Mining & Spatial Analytics

Co-location pattern mining, spatial clustering, knowledge discovery from large-scale geospatial datasets

CP-Tree Spatial Patterns

Hyperspectral Image Processing

Hyperspectral image classification, SAR-optical fusion, semantic segmentation, and computer vision

V3O2 Model 3D-CNN
03 Projects

Funded research advancing scientific frontiers

DST-ICPS Ongoing

Data Science Research Initiative

Multi-institutional collaborative project focusing on advanced data science methodologies, machine learning algorithms, and their applications in solving complex real-world problems.

Rs. 33 Lakhs
ISRO RESPOND Completed

Land Use Land Cover Mapping Using Deep Learning

Developing AI-based solutions for automated land cover classification from satellite imagery using deep convolutional neural networks and transfer learning.

Rs. 10.95 Lakhs
04 IP

Intellectual property and publications

German Patent

Innovation in Spatial Data Mining

Registered patent in Germany for novel methodology in spatial data analysis and pattern discovery algorithms for geospatial applications.

Patented
Springer Nature

Book on Data Mining & Machine Learning

Authored book published by Springer Nature covering advanced topics in data mining and machine learning applications.

Published
05 Mentorship

Nurturing the next generation of researchers

I actively supervise doctoral and master's students working on cutting-edge research problems in artificial intelligence, remote sensing, and data science. My supervision approach emphasizes both technical rigor and the development of independent research skills.

Ph.D. Scholars

5

Currently Guiding

M.Tech Completed

20+

Thesis Supervised

B.Tech Projects

50+

Projects Guided

Interested in Research Collaboration?

I welcome collaborations with researchers, institutions, and industry partners on projects related to AI, machine learning, and geospatial analysis.

Get in Touch View Publications