Ibrahim Demir

Associate Professor

Iowa State University

United States

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Dr. Ibrahim Demir is an Associate Professor at the University of Iowa, USA. His research areas encompass agricultural drought susceptibility, flood risk assessment, and machine learning applications in hydrology. Recent publications include studies on multimodal language models, crop yield prediction, and blockchain in water resources management. He is actively involved in advancing academic knowledge through innovative methodologies in environmental and agricultural sciences.

Articles (20)

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2022

Collaborators (7)

Witold Krajewski

Professor

Iowa State University

UNITED STATES

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Dinesh Jackson Samuel

Pittsburg State University

UNITED STATES

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Fabio Di Nunno

University of Cassino and Southern Lazio

ITALY

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Yazeed Alabbad

Iowa State University

UNITED STATES

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David M. Cwiertny

College of Engineering

UNITED STATES

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Francesco Granata

University of Cassino and Southern Lazio

ITALY

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Omer Mermer

Research Associate Professor

Tulane University

UNITED STATES

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Ibrahim Demir

Research Interests

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About

Articles (20)

State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas

Flood susceptibility mapping using fuzzy analytical hierarchy process for Cedar Rapids, Iowa

The Implementation of Multimodal Large Language Models for Hydrological Applications: A Comparative Study of GPT-4 Vision, Gemini, LLaVa, and Multimodal-GPT

Multivariate Analysis and Anomaly Detection of a US Reservoir Sedimentation Data Set

Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education

Comprehensive Assessment of Flood Risk and Vulnerability for Essential Facilities: Iowa Case Study

Estimating Reservoir Sedimentation Using Machine Learning

Crop yield prediction based on reanalysis and crop phenology data in the agroclimatic zones

Blockchain Opportunities for Water Resources Management: A Comprehensive Review

Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting

Towards progressive geospatial information processing on web systems: a case study for watershed analysis in Iowa

Democratizing Deep Learning Applications in Earth and Climate Sciences on the Web: EarthAIHub

Camera-based intelligent stream stage sensing for decentralized environmental monitoring

A web-based analytical urban flood damage and loss estimation framework

Comparative analysis of performance and mechanisms of flood inundation map generation using Height Above Nearest Drainage

U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding

Using artificial intelligence to improve pain assessment and pain management: a scoping review

Interactive hydrological modelling and simulation on client-side web systems: an educational case study

A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture

WaterBench-Iowa: a large-scale benchmark dataset for data-driven streamflow forecasting

Collaborators (7)

Witold Krajewski

Dinesh Jackson Samuel

Fabio Di Nunno

Yazeed Alabbad

David M. Cwiertny

Francesco Granata

Omer Mermer

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