Public scholar: Faisal Shennib

Faisal Shennib, is a doctoral candidate in the Individualized Program, studying the applications of data-driven technologies for zero waste. Professionally, he has led innovative sustainable waste management programs for 15 years. He is a mechanical and civil engineering graduate from Carnegie Mellon and Concordia, is PMP accredited and recently received a Sustainability Research Award. 

Faisal's research takes a multi-disciplinary lens in examining how open and big data, remote sensor technology and machine learning algorithms can be applied to improving waste management at local scales. Through his research project OpenWaste.AI, he is building multi-sector partnerships to conduct field experiments and build open software and waste data sets to benefit communities and researchers across the globe. Specific projects in progress include a computer vision model and open waste image dataset to help communities improve waste sorting and an agent-based model to predict community-level waste behaviors.