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I am a Scientist at Berkshire Hathaway Inc and a visiting Research Scientist in the The B. John Garrick Institute for the Risk Sciences at the University of California Los Angeles. I research using artificial intelligence and computer vision to develop remote sensing data driven strategies for catastrophe modelling and disaster resilience. Prior to joining UCLA, I was a researcher at the School of Aerospace Engineering and received my PhD in Energy and Environment from the Sapienza University of Rome, Italy.
WHAT'S NEW?
Our research on 'Estimation of Downed Woody Time-Lag Fuel Loadings with Multimodal Remote Sensing Data and Ensemble Machine Learning Regression Model' presented at 2024 IEEE International Geoscience and Remote Sensing Symposium.
Dr. Riyaaz will be offering CEE 103- Applied Numerical Analysis and Modelling in the Summer of 2024.
Preprint released on our recent work on mapping wildfire fuels leveraging remote sensing data and AI (FUELVISION).
Dr. Riyaaz presented at 10th International Fire Ecology and Management Congress on "Application of Multimodal data, Generative AI, and Ensemble Machine Learning Models for Real-Time Wildfire Fuel Mapping".
Dr. Riyaaz presented at 2023 IEEE International Geoscience and Remote Sensing Symposium on "A Bibliometric Analysis of Artificial Intelligence-Based Solutions to Challenges in Wildfire Fuel Mapping" and proceedings paper can be accessed here.
Our paper titled "Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types" is published in the Remote Sensing (I.F. 5.349) and can be accessed here.
Dr. Riyaaz was invited to give a talk at the Wildfires Resilient Structures (WiReS) conference and tradeshow of the University of Califonia Davis. The title of the talk was "Multimodal Deep Learning-based Remote Sensing for Large-Scale Wildfire Fuel Mapping".
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