Dr. Sartajvir Singh is an accomplished academician at Chandigarh University, specializing in Electronics and Communication Engineering. He is practicing as Registered Patent Agent (IN/PA 5806) Registered Trade Mark Agent (TMA 2646). So far, he has filed 75 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 81 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors Council, and ISPRS. His research focuses on Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 10 books and Special Issues with publishers like Wiley, Nature, De Gruyter, Bentham Science, Springer, Elsevier, CRC, and Apple Academic Press.
![GeoAI [Sponsered by ANRF] 1](/_next/image?url=%2Fimages%2Fprojects%2Fagu.jpg&w=2048&q=75)
Dr. Sartajvir Singh
| Project Details | |
|---|---|
| Location | Washington DC (USA) |
| Duration | 6 Days |
| Start Date | 2024-12-08 |
| Completion Date | 2024-12-13 |
| Sponsered | ANRF |
| Status | Completed |
| Budget | 1.87 Lacs (INR) |
| Product | Geo AI Platform |
| Grant Number | ITS/2024/005560 |
Geospatial Intelligence with Open Source GeoGPT for Earth Exploration
My research introduces an open-source Geospatial Generative Pre-Trained Transformer (GEOGPT) model, leveraging Artificial Intelligence (AI) to enhance Geospatial Intelligence (GEOINT) applications. The study demonstrates the potential of GEOGPT in analyzing snow cover changes over the Indian Himalayas using scatterometer satellite datasets. Key contributions include the integration of natural language querying, advanced data analytics, visualization, and contextual understanding within the model, enabling more efficient and automated exploration of geospatial data. The experimental results validate the effectiveness of GEOGPT in addressing critical challenges such as predicting snow avalanches, flash floods, and responding to natural disasters. Furthermore, the study identifies areas for improvement in user interface design, model training, and natural language processing, paving the way for advancing geospatial intelligence solutions.
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