Adeel Hassan
About Adeel Hassan
Machine Learning Engineer Adeel Hassan
Adeel Hassan holds the title of Machine Learning Engineer. His work primarily focuses on the innovative application of machine learning techniques to various fields such as satellite imagery and drone operations. Through his contributions, Adeel aims to advance technology in practical, impactful ways.
Raster Vision v0.21 Contributions by Adeel Hassan
Adeel Hassan contributed to the development of Raster Vision v0.21. This version includes major updates that enhance the application of machine learning to satellite imagery. His efforts have been pivotal in improving the functionality and accuracy of this open-source library for analyzing geospatial raster data.
Vision-Language Foundation Models for Queryable Earth
Adeel Hassan explored the use of vision-language foundation models to build a 'Queryable Earth' functionality. This innovation allows users to retrieve images along with their geolocations using text queries, thus making the search and utilization of geographic data more intuitive and accessible.
Machine Learning in Search-and-Rescue Operations
Adeel Hassan investigated the application of machine learning to streamline search-and-rescue operations, particularly through the use of edge processing of drone imagery. This research aims to improve the efficiency and effectiveness of emergency response efforts.
Research on Unsupervised Change Detection with Sentinel-2
Adeel Hassan conducted research on unsupervised change detection using Sentinel-2 vector embeddings. This work focuses on identifying changes in satellite imagery without the need for labeled data, which can significantly enhance the monitoring of environmental and urban developments.