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Staff profile

Overview

Dr Omar Althuwaynee

Postdoctoral Research Associate

Affiliations
AffiliationTelephone
Postdoctoral Research Associate in the Department of Geography
Fellow of the Institute of Hazard, Risk & Resilience in the Institute of Hazard, Risk and Resilience

Biography

  • 2024 – Present: Research Associate, Durham University, UK  | 3D Rockfall Erosion modeling
  • 2021 – 2024: Research Fellow, IRPI-CNR, Perugia, Italy | National-scale landslide early warning. 
  • 2019 – 2021: Post-Doctoral Research Fellow, Sejong University, Seoul, South Korea
  • 2018 – 2019: Lecturer, Faculty of Applied Sciences, Ankara University, Turkey
  • 2017 – 2018: Post-Doctoral Research Fellow, University of Johannesburg, South Africa
  • 2015 – 2017: Assistant Professor, Department of Geomatics Engineering, Izmir Katip Celebi University, Turkey

Dr. Omar Althuwaynee (B.Sc. & MSc in Civil Enginering, Ph.D.in GIS and Geomatics Engineering) is a dedicated research scientist and geomatics engineer specializing in geohazards modeling and risk assessment. With a multidisciplinary background in civil engineering, GIS, and AI, his research focuses on developing innovative solutions for monitoring and predicting natural hazards to mitigate their impact on communities.

His work leverages advanced spatial modeling techniques, including machine learning (ML) and artificial intelligence (AI), applied to data from LiDAR, TLS, and other earth observation systems. He is driven by a core belief that impactful research must translate into practical tools for solving real-world problems.

Current Research Focus:   Spatial modeling of natural and anthropogenic hazards (Rockfall, landslides, floods, air pollution).   Landslide Early Warning Systems (EWS) development and implementation.  Risk and vulnerability assessment of land uses.   Application of AI and ML for geohazards analysis.

For the full list of research outputs, please visit my profile on Google Scholar

Research interests

  • Natural and Anthorpogenic hazards risk modeling (Landslide, Rockfall, Air pollution); Spatial and temporal analysis using AI and ML; Vulnerability of land uses.
  • My current research at Durham University, as PDRA, I am developing streamline automation for rockfall prediction modeling, using LiDAR product of point cloud data. The automation includes, data pre and post-processing, change detection, erosion quantification, prediction of susceptible cliffs of North Yorkshire area, UK. Also, the work includes developing plugin for open-source software.

Publications

Journal Article