Analizy chemometryczne w Statistica – kurs zaawansowany

Prof. Aleksander Astel

Specializes in the application of chemometric methods (factor analysis, supervised and unsupervised clustering, regression and receptor models) for exploring databases obtained from environmental monitoring, toxicological analyses, and microplastics detection in biotic and abiotic samples. In recent years, his interests have extended to feature detection and image processing for coordinate measuring machines using classical algorithms and neural networks. Collaborates with StatSoft since 2004. Delivers training in Chemometric Analysis in Statistica – Basic Course and Advanced Chemometric Analysis in Statistica. He has led scientific grants including “Optimization of Chemometric Techniques for the Exploration and Modeling of Chemical Pollution Monitoring Data,” “Hydroecological Conditions of Coastal Lake Ecosystems in the Southern Baltic,” and “Impact of Ecological Disaster-Induced Deforestation on the Spatial Differentiation and Chemical Changes in Spring and Surface Waters in the Silesian Beskids.” Author of nearly 100 publications indexed in Scopus. Professor at the Department of Environmental Chemistry and Toxicology, Pomeranian University in Słupsk, and data analysis engineer at Carl Zeiss IQS Software R&D Center.