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Stanisław Jankowski

Eng.D. / Associate Professor


Faculty of Design in Warsaw
Department of Computer Science


Prof. Jankowski holds a post-doctoral degree (habilitacja) in Technical Sciences with specialization in Computer Science. He has been researching and teaching classes in neural networks and statistical machine learning systems since 1990. He participated in numerous teaching and research collaborative programs with foreign universities, including Ecole Supérieure de Physique et de Chimie Industrielles in Paris, France, La Sapienza University of Rome and Università di Catania in Italy, Universitat Ramon Llull in Barcelona, Spain, and the Brest State Technical University in Belarus. He initiated and led many research projects in the field of artificial intelligence.

His research interests include: the theory of machine learning – the Hopfield associative memory in complex and hyper-complex domain as a large scale optimization problem, structure optimization of learning systems based on statistical tests, maximum margin machine learning systems (e.g. support vector machines SVM), feature selection and dimensionality reduction, optimization of semi-supervised systems, optimization of the autoencoder structure using a multidimensional virtual leave-one-out test, deep learning, recurrent models, and methods of time series forecasting. His theoretical research finds applications in developing innovative solutions in medical science, electronic materials technology, drone controlling, geology (e.g. tectonic dynamics at Mt. Etna Volcano), and in social sciences, for example in forecasting criminal incidents. The above-noted research projects were conducted in collaboration with various research institutes.

Results of Prof. Jankowski’s research were published in over 150 articles in scientific journals, as book chapters, and as conference papers. His publications have been cited over 550 times (Hirsch Index 9). He is a reviewer for numerous scientific journals, including Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Neural Processing Letters, Biocybernetics and Biomedical Engineering, and Theoretical Computer Science.

He has participated in 52 international conference (often as a scientific committee member or a reviewer) and in 35 national conferences.

At SWPS University he teaches classes in artificial intelligence, statistics, machine learning algorithms, and optimization of machine learning.