Meet the talented students and researchers working in our lab.
PhD Student
Estimation of surface and root zone soil moisture using SAR Data
PhD Student
Soil Organic Carbon Estimation Using IoT and Remote Sensing Techniques
PhD Student
Inland pond mapping and monitoring using remote sensing
PhD Student
Estimation of soil properties in the Sundarbans region
MS Student
Potential Fishing Zone Delineation Using Remote Sensing
2025 - Present
MTech Student
2025 - Present
MTech Student
| Name | Degree | Year | Research Project / Current Position |
|---|---|---|---|
| Vaishnavi Joshi | MTech | 2024 | Synergistic Use of Sentinel Data for Temporal Identification of Ponds Under Aquaculture Practices |
| Dileep Singh | MTech | 2024 | Modified Generative Adversarial Learning Architecture to Remove Cloud from Satellite Derived Chlorophyll and Sea Surface Temperature Data |
| Johaan George | MTech | 2024 | Ship Detection using Synthetic Aperture Radar Images (SAR) and Automatic Identification System (AIS) Data |
| Dnyaneshwar Gawai | MTech | 2023 | DLR-DAAD Research Fellow - Detection and Exploration of Aquaculture Structures Using Dual-Pol HH-VV Terrasar-X SAR Data |
| Pankaj Patidar | MTech | 2023 | DAAD-KOSPIE Fellow - Spatiotemporal Assessment of Sea Surface Salinity and Chlorophyll Using Satellite Remote Sensing Data and Machine Learning Techniques |
| Rishwanth Thottempudi | MTech | 2023 | Semantic Segmentation of Multi-Temporal SAR Imagery |
| Dhumale Ajay Shankar | MTech | 2023 | Shrimp Freshness Prediction Using Image Analysis |
| Avrodeep Paul | MTech | 2022 | SAAB Scholar - A Novel Technique to Characterize the Scattering Phenomenon from Raft and Oil Spill and their Detection (Currently PhD at Ben-Gurion University) |
We are looking for motivated PhD candidates with backgrounds in remote sensing, geospatial analysis, computer science, or related fields. Research areas include:
We offer a variety of MTech project opportunities related to our ongoing research. Students with interests in remote sensing, GIS, programming, or machine learning are encouraged to apply.
We occasionally have internship positions available for undergraduate and postgraduate students. These positions are announced on our departmental website.
How to Apply: Interested candidates should email Prof. Subhadip Dey with their CV, a brief statement of research interests, and relevant academic records.