Transforming Flood Analysis: Hydro-SAR Next Generations and Journey to KTM, Nepal | Arif Albayrak

Описание: Dr Arif Albayrak presented at the Geo-AI Working Group on January 22, 2025.

Arif Albayrak is a Senior Research Engineer at the University of Maryland, Baltimore County (UMBC) through the Joint Center of Earth System Technology (JCET). His current work location is NASA Goddard Space Flight Center, Biospheric Sciences Laboratory. He is also a member of the NASA Earth Science Disaster Group.

Arif Albayrak has a multi-disciplinary background in engineering, applied mathematics, and computer science with over 20 years of work experience. He specializes in machine learning (ML) algorithms with an emphasis on estimation, classification, and extraction of information patterns from satellite-based sensor data. Some of his recent work includes modeling of generative and deep networks with application to image processing. Prior to the Biospheric Sciences Laboratory, Mr. Albayrak worked as a Scientist/Developer, at NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). While he was in GES-DISC, he was the lead developer for the Open Source Reader Library; a multi-sensor, multi-platform satellite data fusion environment for earth science data (swath and gridded).

His research interests include knowledge graphs, natural language processing and semantic image segmentation using deep learning algorithms. For the last 2 years he has worked as a technical mentor to over 7 NASA interns for various projects including the development of a machine-learning-based processing infrastructure for Twitter for the purpose of verification of satellite precipitation data.

The talk's context: One of the focuses of the HydroSAR NG project—alongside its landslide component—is to advance next-generation flood algorithms using cutting-edge machine learning and deep learning techniques. In this presentation, we will share some of our initial results for a novel deep learning approach, highlighting visual and contextual information from our recent visit to Kathmandu, Nepal, and its implications for flood prediction and resilience.

Find Arif's presentation here:

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Recurring meeting invite
Geo-AI Working Group Bi-Weekly Meeting
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