UZAIR KASHIF

- Developed complete framework to assess construction progress in built environment (k-NN, RANSAC, Cesium, Meta SAM2)

- Quantified NO₂ patterns along length of Srinagar Highway in Islamabad using TROPOMI NO₂ & OSM

- Mapped cropland and compared performance of SVMs vs k-NN classifiers

- Reconstructed lake drawdown and downstream flood extent using Sentinel-1/2 & HEC-RAS 2D

- Detected and quantified glacial-lake area change from SAR using Google Earth Engine

• Organized workshops to strengthen the GIS community and promote geospatial tech adoption
• Trained over 100 students and professionals in GIS applications

• Built multi-sensor wildfire early-warning prototype integrating in-situ, optical, and SAR streams
• Led RS/ML pipeline design and data engineering to reduce computational load by 80%

• Trained imagery classifiers for critical-infrastructure detection; cut inference time by ~50%
• Provided actionable visual reports for prevention of Legionella outbreaks in Canada

- Supported deployment of early warning systems in 24 vulnerable valleys

- Created GIS-based dashboards to monitor national development projects