Bogdan Ruszczak

Assistant Profesor

Politechnika Opolska

Poland

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Bogdan Ruszczak is an Assistant Professor at Politechnika Opolska in Poland. His research interests include machine learning applications in image reconstruction and segmentation, satellite telemetry anomaly detection, and hyperspectral imaging. Recent publications highlight his work on topics such as algorithm-assisted career management for migrants, disease detection in agriculture, and visualization tools for satellite data.

Articles (13)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (11)

Krzysztof Smykała

Head of R&D

POLAND

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Michał Tomaszewski

Opole University

POLAND

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Pedro Javier Navarro Lorente

Associate Professor

Universidad Politécnica de Cartagena

SPAIN

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Ewa Moliszewska

PhD, Associate Professor

Opole University

POLAND

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Sabina Kubiciel-Lodzińska

assistant professor

POLAND

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Jakub Nalepa

Silesian University of Technology

POLAND

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Dominika Boguszewska-Mańkowska

POLAND

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Jolanta Maj

Assitant Professor

University of Wrocław

POLAND

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Paweł Michalski

Opole University

POLAND

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Francisca Rosique

Profesor Contratado Doctor

Universidad Politécnica de Cartagena

SPAIN

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Michal Kawulok

Silesian University of Technology

POLAND

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Bogdan Ruszczak

Research Interests

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Articles (13)

Conditional generative adversarial network for segmentation and image reconstruction of grape berries in variable illumination conditions

The OPS-SAT benchmark for detecting anomalies in satellite telemetry

Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge

Towards Algoritm-Assisted Career Management - the Challenge for New Immigration Countries. Predicting the Migrant"S Work Trajectory Using Ensemble Learning

Various tomato infection discrimination using spectroscopy

Overview of Image Datasets for Deep Learning Applications in Diagnostics of Power Infrastructure

Early detection of Solanum lycopersicum diseases from temporally-aggregated hyperspectral measurements using machine learning

Escaping brain waste. Work experience and qualifications of highly skilled Ukrainians in Poland

OXI: An online tool for visualization and annotation of satellite time series data

Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning

Classification of Potato Varieties Drought Stress Tolerance Using Supervised Learning

Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results

Deep potato – The hyperspectral imagery of potato cultivation with reference agronomic measurements dataset: Towards potato physiological features modeling

Collaborators (11)

Krzysztof Smykała

Michał Tomaszewski

Pedro Javier Navarro Lorente

Ewa Moliszewska

Sabina Kubiciel-Lodzińska

Jakub Nalepa

Dominika Boguszewska-Mańkowska

Jolanta Maj

Paweł Michalski

Francisca Rosique

Michal Kawulok

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