
Member Since 2011
Mojtaba Sadegh
Associate Professor, Boise State University
Member, Ambassador Award Committee; Associate Editor, Earth's Future
Mojtaba (Moji) Sadegh is an associate professor of Civil Engineering at Boise State University. Moji is enthusiastic about characterizing how climatic changes shape the future of Earth and its inhabitants. He is passionate about increasing the resilience of natural, built and societal infrastructure to escalating climate/weather extremes. Moji uses data-driven methods to unravel mechanisms that drive climate extremes and their societal impacts.
Professional Experience
Boise State University
Associate Professor
2017 - Present
Education
Doctorate
2015
University of California Irvine
Doctorate
Honors & Awards
Publications

Impact‐Based Skill Evaluation of Seasonal Precipitation Forecasts
We introduce an impact‐based framework to evaluate seasonal forecast model skill in capturing extreme weather and climate events over regions...
November 14, 2024

Predictive Understanding of Links Between Vegetation and Soi...
August 13, 2024

Interdependencies Between Wildfire‐Induced Alterations in So...
February 12, 2024

Increasing Heat‐Stress Inequality in a Warming Climate
February 04, 2022
AGU Abstracts
Predictive Understanding of Links between Vegetation and Soil Burn Severities Using Physics-informed Machine Learning
WILDFIRE IMPACTS ON WATERSHED HYDROLOGY, BIOGEOCHEMISTRY, AND BIODIVERSITY I ORAL
global environmental change | 12 december 2024
Mojtaba Sadegh, Seyd Teymoor Seydi, John T. Abatzo...
Burn severity is fundamental to post-fire impact assessment and emergency response. Vegetation Burn Severity (VBS) can be derived from satellite obser...
View Abstract
Trends, patterns, and social vulnerability landscape of exposure to wildfires in the US
EXTREME EVENTS: OBSERVATIONS AND MODELING III ORAL
atmospheric sciences | 11 december 2024
Mojtaba Sadegh, Arash Modaresi Rad, John T. Abatzo...
An increasing number of wildfire disasters occurred in recent years in the U.S. Here, we demonstrate that cumulative primary human exposure populatio...
View Abstract
A Deep Learning Framework for Daily Burned Area Mapping Using MODIS Satellite Imagery
DIGITAL TWIN AND RAPID WILDFIRE DETECTION, PROGRESSION PREDICTION, AND IMPACT ASSESSMENT I POSTER
natural hazards | 09 december 2024
Seyd Teymoor Seydi, Mojtaba Sadegh
Wildfire frequency and intensity are increasing in many regions across the globe. Daily wildfire mapping using MODIS imagery offers a crucial tool for...
View Abstract
Volunteer Experience
2024 - 2025
Member
Ambassador Award Committee
2022 - 2025
Associate Editor
Earth's Future
2023 - 2023
Member
Earth’s Future EIC Search Committee
Check out all of Mojtaba Sadegh’s AGU Research!
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