Fasih Ishfaq

Developed enterprise-level GIS datasets and performed geospatial and geostatistical analyses using AI/ML for multisource, multi-temporal Earth observation data to support mapping and planning workflows.

Managed geospatial data acquisition and processing (LiDAR, satellite, aerial) and led 3D DSM/DTM generation, thematic mapping, and airborne survey projects to support natural resource management and disaster risk assessment.

Developed GIS-based soil fertility and agricultural zoning analyses using satellite and survey data to design precision fertilizer application maps and support agri-business planning.

Designed national FTTH fiber-optic layouts and implemented GIS-based network topology, asset management, and real-time geospatial visualization to support deployment and maintenance.

Led GIS modeling and DEM-based terrain analyses for rail feasibility and hydrological assessments, and developed 3D geospatial models to support urban and regional planning decisions.

Developed and managed a centralized GIS database integrating high-resolution imagery and field surveys to support urban planning, utilities management, and interactive web-based dashboards for stakeholders.

Prepared digital base and navigational maps for NAVTEQ for 20 major Pakistani cities, conducted GPS-based POI collection and geocoding, and provided cartographic support for field surveys.

PhD candidate in Artificial Intelligence and Machine Learning focusing on analysis of multisensory and multitemporal Earth observation data.

Attended a training workshop on precision agriculture and forestry focused on geospatial applications.

Completed a hands-on training course on big geospatial data analysis using Google Earth Engine.

Completed M.Phil in Space Science with focus on space and remote sensing applications.

Completed M.Sc. in Space Science covering remote sensing, geospatial analysis, and related methodologies.