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mehdi sepehriMS
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mehdi sepehri

@mehdisepehri

Researcher at Forests and Rangelands Research Institute developing hybrid MCDA and deep-learning approaches for flood and watershed management.

Iran
Message

At Forests and Rangelands Research Institute, I research flood simulation, hydrological processes, and hydroinformatics. My work increasingly combines deep learning with hydrological and hydraulic models to improve prediction and reduce uncertainty.

I’ve contributed to multi-criteria decision analysis frameworks for flood hazard assessment and environmental decision-support systems, including D-number-based approaches. My research has produced peer-reviewed publications on flood assessment, watershed modeling, and hydrological connectivity.

As a co-researcher, I contributed to technical projects evaluating the Gonbad Representative Watershed and the effects of biological watershed management operations on sediment yield. I also work on spatio-temporal hydrological analysis and connectivity indices.

Experience

Work history, roles, and key accomplishments

FI
Current

Researcher

Forests and Rangelands Research Institute

Sep 2024 - Present (2 years 1 month)

Conducting research in watershed sciences and engineering, focusing on flood simulation, hydrological processes, and hydroinformatics.

AO

Soil and Water Specialist

Agriculture Jihad Organization

Sep 2022 - Sep 2024 (2 years)

Specialized in soil and water management, contributing to agricultural and natural resources projects in Hamadan Province.

HC

Watershed Management Specialist

Hamadan Agricultural and Natural Resources Research Center

Sep 2021 - Jun 2022 (9 months)

Specialized in watershed management, conducting research and technical projects on flood hazard and sediment yield.

Education

Degrees, certifications, and relevant coursework

YU

Yazd University

PhD Student, Watershed Sciences and Engineering

2016 - 2020

PhD student in Watershed Sciences and Engineering, with a project on urban flood hazard assessment using SWMM and entropy methods.

MU

Malayer University

Master of Science, Watershed Management Engineering

2012 - 2014

Grade: 19 out of 20

Master of Science in Watershed Management Engineering, with a thesis on urban flood hazard mapping using multi-criteria decision analysis.

RU

Razi University

Bachelor of Science, Natural Resource Engineering

2008 - 2012

Bachelor of Science in Natural Resource Engineering.

Tech stack

Software and tools used professionally

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