Reza Derakhshani

Associate Professor

Utrecht University

Netherlands

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Reza Derakhshani is an Associate Professor at Utrecht University in the Netherlands. His research encompasses various areas, including geochemistry, artificial intelligence applications in environmental studies, and innovative techniques for groundwater management. Recent publications reflect his focus on the geochemical analysis of ultramafic minerals, the development of AI-based detection methods for colloids, and sustainable practices in groundwater use and site selection for underground hydrogen storage.

Reza Derakhshani

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Articles (23)

Suprasubduction geochemical dataset of ultramafic minerals in Southern Iran: The Ab-Bid complex

An artificial intelligence image-based approach for colloid detection in saturated porous media

Innovative insights into micropile seismic response: Shaking table tests reveal critical dependencies and liquefaction mitigation

Empirical Bayesian Kriging, a Robust Method for Spatial Data Interpolation of a Large Groundwater Quality Dataset from the Western Netherlands

Innovative mapping of groundwater redox status and cation exchange conditions in a GIS environment

A Novel Image Processing Approach for Colloid Detection in Saturated Porous Media

A Novel Sustainable Approach for Site Selection of Underground Hydrogen Storage in Poland Using Deep Learning

Forecasting Copper Prices Using Deep Learning: Implications for Energy Sector Economies

Radar Interferometry for Sustainable Groundwater Use: Detecting Subsidence and Sinkholes in Kabodarahang Plain

Approaches for the Efficient Removal of Fluoride from Groundwater: A Comprehensive Review

Regional tectonic dynamics in Central Iran: Unveiling the interplay of fault systems through morphotectonic and seismological analyses in the Shotori mountains

Investigating Earthquake-Induced Changes in the Persian Gulf Marginal Strip, Using Sentinel-1A Images and Radar Interferometry

Small Object Detection and Tracking: A Comprehensive Review

Fuzzy-Based Intelligent Model for Rapid Rock Slope Stability Analysis Using Q<sub>slope</sub>

Fuzzy-Based Intelligent Model for Rapid Rock Slope Stability Analysis Using Q(slope)

Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals

Seismic Risk in Alborz: Insights from Geological Moment Rate Estimation and Fault Activity Analysis

Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review

Machine Learning-Based Assessment of Watershed Morphometry in Makran

Using Artificial Intelligence to Identify Suitable Artificial Groundwater Recharge Areas for the Iranshahr Basin

Seismotectonics, Geomorphology and Paleoseismology of the Doroud Fault, a Source of Seismic Hazard in Zagros

Groundwater vulnerability assessment in central Iran: Integration of GIS-based DRASTIC model and a machine learning approach

Experimental Study on Seismic Response of Underground Tunnel–Soil–Piled Structure Interaction Using Shaking Table in Loose Sand

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Jasper Griffioen

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