volkan yusuf şenyürek

assistant research professor

Mississippi State University

United States

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About

Volkan Yusuf Şenyürek is an Assistant Research Professor at Mississippi State University in the United States. His research areas include deep learning applications in remote sensing, specifically focusing on soil moisture estimation, automated detection of seafloor gas seeps, and machine learning methodologies. Recent publications highlight his expertise in integrating diverse datasets, such as UAS-based GNSS-R, LiDAR, and multispectral data, to enhance environmental monitoring capabilities.

Articles (12)

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2025

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2025

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2025

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2024

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2023

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2022

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2022

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2021

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2020

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2020

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UNITED STATES

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volkan yusuf şenyürek

Research Interests

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Articles (12)

Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign

Automated Detection of Seafloor Gas Seeps in Multibeam Echosounder Data With an Attention-Guided Convolutional Neural Network

Deep Learning Based Sequential Processing of Multibeam Echosounder Images for Automated Detection of Seafloor Gas Seep Occurrence

Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products

Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval

Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay–Doppler Maps

Fusion of Reflected GPS Signals With Multispectral Imagery to Estimate Soil Moisture at Subfield Scale From Small UAS Platforms

Electromyogram in Cigarette Smoking Activity Recognition

Evaluations of Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations

Computation of Cigarette Smoke Exposure Metrics From Breathing

A CNN-LSTM neural network for recognition of puffing in smoking episodes using wearable sensors

Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS

Collaborators (6)

M M Nabi

Ali Cafer Gurbuz

Robert J. Moorhead

Md Mehedi Farhad

Adam Skarke

Mehmet Kurum

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