I am an associate researcher at the Lebanese National Center for Remote Sensing - National Council for Scientific Research (CNRS), where I have established the GEOspatial Artificial Intelligence (GEOAI) group. I earned a Ph.D. in Computer Communication in 2013 and was with Toyota Motor North America, InfoTech Labs at Mountain View, USA, before joining CNRS in 2015, where I also acted as the coordinator of the Lebanese National Innovation Transfer Network.
I have over 40 publications with unique research focus on AI-assisted mapping spanning various applications, including geospatial Earth observation, urban analytics, transportation, and features extraction from aerial imagery. I develop tools integrating deep learning techniques to automate the process of urban features extraction and collect crowd-sourcing data from various sources. Evidence gained from my models and data analysis allows for a robust humanitarian response and provides policymakers and key stakeholders with insights to design tailored regulations and safety countermeasures for urban social good. In the past, I made research contributions to Intelligent Transportation Systems (ITS), vehicular cognitive networks and IEEE P1609 standard Working Group.
The first comprehensive Lebanese Building Footprints autonomously generated using Deep Learning.
Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images