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Exciting New Publications from GEAR Lab

Dr. Lei Zou has recently co-authored a fascinating paper. Let's delve into the details:


FF-IR: An information retrieval system for flash flood events developed by integrating public-domain data and machine learning

Authors: Rohan Singh Wilkho, Nasir G Gharaibeh, Shi Chang, Lei Zou


This paper introduces FF-IR: a groundbreaking information retrieval system that revolutionizes flash flood research. By combining public-domain data and machine learning, FF-IR streamlines the search process, outperforming direct Google searches by over 100%. The above figure showcases the Binary Classification Machine Learning model selection procedure used in the FF-IR. Discover how FF-IR enhances flash flood risk assessments and mitigation planning, benefiting researchers and practitioners in the field of natural hazards.


Rohan Singh Wilkho, Nasir G. Gharaibeh, Shi Chang, Lei Zou, FF-IR: An information retrieval system for flash flood events developed by integrating public-domain data and machine learning,

Environmental Modelling & Software, Volume 167, 2023, 105734, ISSN 1364-8152,


Congratulations to Dr. Zou, and we look forward to hearing more achievements and publications from GEAR Lab! Gig'em!

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Geospatial Exploration and Resolution (GEAR) Lab

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