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, urban analytics, transportation, waterbodies monitoring and crop-yield estimation. 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.
Buildings Classification using Very High Resolution Satellite Imagery
Buildings Classification using Very High Resolution Satellite Imagery
Sci-Net: a Scale Invariant Model for Building Detection from Aerial Images
Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images
Lebanese Road Crashes Platform
Enhance national innovation system capacity
Modeling and Simulation of WAVE 1609.4-based Multi-channel VANETs