About me
Arkadiusz Tomczyk received the MSc degree in computer science in 2002 and the PhD with honours in computer science in 2011 from the Faculty of Technical Physics, Information Technology and Applied Mathematics of the Lodz University of Technology, Poland. Since 2002 he has been employed in the Institute of Information Technology of the Lodz University of Technology. His research experience covers image processing and analysis, especially active contour methods, as well as pattern recognition and machine learning techniques. From 2013 to 2017 he was a principal investigator in research grant focused on Cognitive Hierarchical Active Partitions, a method combining active contour approach with structural representation of image content. This project was supported by National Science Centre, project no. 2012/05/D/ST6/03091. Currently he actively participates in projects supported by National Centre for Research and Development and his scientific interests focus on machine learning techniques (convolution neural networks, transformers, graph neural networks) applied to analysis of images and graphs. He is an author and co-author of around 50 journal papers, book chapters and conference contributions.
Interests
image analysis, machine learning, computer vision, artificial intelligence, deep learning, structured prediction, pattern recognition, active contours
Didactic
- WIKAMP
- Courses:
- Object oriented programming
- Data analysis
- Image processing
- Machine learning
- Deep learning
- Computational intelligence
- Projects:
- COMPUTER SCIENCE - ordered specialty at Lodz University of Technology, Human Capital Operational Programme (2012-2013) - lecturer
- ITC - Information Technology Centre of Lodz University of Technology, Infrastructure and Environment Operational Programme (from 2015) - laboratory supervisor
- Computer Science Mastery Centre, Digital Poland Operational Programme (2019-2024) - programmer
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Research
- Publications:
- B. Durys, A. Tomczyk, Improvement of Attention Mechanism Explainability in Prediction of Chemical Molecules Properties. Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 119-124, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.1
- M. Simionescu, A. Wojciechowski, A. Tomczyk, M. Rabe: Revised Environmental Kuznets Curve for V4 Countries and Baltic States. Energies 2021, 14(11), 3302
- P. Tarasiuk, A. Tomczyk, B. Stasiak: Automatic Identification of Local Features Representing Image Content with the Use of Convolutional Neural Networks. Appl. Sci. 2020, 10, 5186
- A. Tomczyk, P.S. Szczepaniak: Ear Detection Using Convolutional Neural Network on Graphs with Filter Rotation. Sensors 2019, 19, 5510
- B. Stasiak, P. Tarasiuk, I. Michalska , A. Tomczyk: Application of convolutional neural networks with anatomical knowledge for brain MRI analysis in MS patients, Bulletin of the Polish Academy of Sciences - Technical Sciences, Vol. 66, No. 6, 2018, DOI: 10.24425/bpas.2018.125933
- A. Tomczyk: Active Partitions in Localization of Semantically Important Image Structures. Bridging the Semantic Gap in Image and Video Analysis, (Eds. Halina Kwaśnicka H., Lakhmi C. Jain), Intelligent Systems Reference Library 145, Chapter 4, Springer, 2018, ISBN 978-3-319-73890-1, ISSN 1868-4394, DOI: 10.1007/978-3-319-73891-8_4, pp. 51-72
- A. Tomczyk, P. S. Szczepaniak, Adaptive potential active contours, Pattern Analysis and Application, vol. 14, pp. 425-440, Springer-Verlag, London, 2011
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- Projects:
- Cognitive hierarchical active partitions, National Science Centre, 2012/05/D/ST6/03091 (2013-2017) - principal investigator
- Contextual and semantically oriented analysis, recognition and interpretation of images and their sequences with medical applications, Ministry of Science and Higher Education, N 519007 32/0978 (2007-2010) - co-investigator
- Predictive energy management system EnMS (PE), Smart Growth Operational Programme, POIR.01.01.01-00-0281/20-00 (from 2020) - co-investigator
- Predictive and adaptive system METERNET-EnMS for integrated control of environmental parameters and energy consumption in business and industrial processes (PA), Smart Growth Operational Programme, POIR.01.01.01-00-0188/21-00 (from 2022) - co-investigator
- Research service for Eyetracking Solutions sp. z o.o., Smart Growth Operational Programme, POIR.02.03.02-14-0106/18 (2019-2020) - co-investigator
- Research service for Agat IT S.A., Regional Operational Programme of Lodz Voivodeship, RPLD.01.02.02-IP.02-10-064/19 (2022-2023) - co-investigator
- Interactive system for support of motor and motor-visual paradigm correct execution while functional magnetic resonance examination, National Science Centre, 2016/21/D/NZ4/03721 (2018-2019) - programmer
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