Tomasz Maszczyk
Contact
Information
Nicolaus Copernicus University
Faculty of Physics, Astronomy and Informatics
Department of Informatics
Grudzi¸adzka 5, 87-100 Toru´
n, Poland
Tel.: (+48)(56) 6113294
Mobile: (+48) 600079834
Fax: (+48)(56) 6225397
E-mail: [email protected]
Research
Interests
Computational intelligence, artificial intelligence, cognitive informatics,
kernel methods, data transformation, data visualization
Education
Nicolaus Copernicus University, Toru´
n, Poland
Ph.D. in Computer Science (March 2014)
• Dissertation Topic: “Universal Learning Machines”
• Advisor: prof. Wlodzislaw Duch
Silesian University of Technology, Katowice, Poland
M.Sc. diploma (June 2006)
• Dissertation Topic: “Analiza skladnik´ow gl´ownych w zastosowaniu do danych
finansowych” (Principal Component Analysis applied to financial data)
• Advisor: dr Jacek Biesiada
Silesian University of Technology, Katowice, Poland
M.Sc. course (2001-2006)
Technical Secondary School of Electronics, Bytom, Poland
Electronics technician
Honors, awards
and others
• Principal investigator in grant number 1608-F for young scientists. Grant title: Development and implementation of algorithms for creating new, useful features, their
integration and effective use to solve problems of classification and approximation,
Toru´
n, Poland 2013
• Principal investigator in grant number 1141-F for young scientists. Grant title:
Development and implementation of the new machine learning methods based on
deep learning mechanism used for biomedical data analysis,
Toru´
n, Poland 2012
• Travel grant from Institute of Electrical and Electronics Engineers, ICONIP
Doha, Qatar, 2012
• Principal investigator in grant number 407-F for young scientists. Grant title: Machine learning methods based on generation, transformation, feature selection and
transfer learning, 2011
• Step into the future – scholarship for PhD students (from European Union)
Toru´
n, Poland 2010
• Travel grant from European Neural Network Society, ICANN
Limassol, Cyprus, 2009
• Travel grant from European Neural Network Society, ICANN
Prague, Czech Republic, 2008
• Third place in Metallurgical Process Regression Modeling (ICAISC competition)
Zakopane, Poland 2008
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• Participation in grant number N N516 442138 as contractor.
Principal investigator - dr Marcin Blachnik. Grant title: Rule-based systems based
on prototypes and their application to the analysis of experimental data
• Participation in grant number N N516 500539 as contractor.
Principal investigator - dr Norbert Jankowski. Grant title: Universal meta-learning
algorithms in computational intelligence
• Co-author of Intelligent Expert System (ISE), 2008
Publications
• Tomasz Maszczyk and Wlodzislaw Duch. Recursive Similarity-Based Algorithm for
Deep Learning. In Tingwen Huang, Zhigang Zeng, Chuandong Li and Chi Sing
Leung, editors, ICONIP, volume 7665 of Lecture Notes in Computer Science, pages
390-397. Springer, 2012.
• Marcin Blachnik, Wlodzislaw Duch and Tomasz Maszczyk. Feature ranking methods
used for selection of prototypes. In Alessandro Villa, Wlodzislaw Duch, Peter Erdi,
Francesco Masulli and Gunther Palm, editors, ICANN, volume 7553 of Lecture Notes
in Computer Science, pages 296-304. Springer, 2012.
• Wlodzislaw Duch, Norbert Jankowski and Tomasz Maszczyk. Make it cheap: learning with O(nd) complexity. In IJCNN, pages 1–4. IEEE Press, 2012.
• Tomasz Maszczyk and Wlodzislaw Duch. Locally optimized kernels. In Leszek
Rutkowski, Marcin Korytkowski, Rafa Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh
and Jacek M. Zurada, editors, ICAISC, volume 7267 of Lecture Notes in Computer
Science, pages 412–420. Springer, 2012.
• Wlodzislaw Duch, Tomasz Maszczyk and Marek Grochowski. Optimal Support Features for Meta-Learning. In Norbert Jankowski, Wlodzislaw Duch and Krzysztof
Gr¸abczewski, editors, Meta-Learning in Computational Intelligence, volume 358 of
Studies in Computational Intelligence, pages 317–358. Springer, 2011.
• Tomasz Maszczyk, Marek Grochowski, and Wlodzislaw Duch. Discovering data
structures using meta-learning, visualization and constructive neural networks. In
Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, and Janusz Kacprzyk,
editors, Advances in Machine Learning II, volume 263 of Studies in Computational
Intelligence, pages 467-484. Springer, 2010.
• Tomasz Maszczyk and Wlodzislaw Duch. Almost Random Projection Machine with
Margin Maximization and Kernel Features. In Konstantinos I. Diamantaras, Wlodek
Duch and Lazaros S. Iliadis, editors, ICANN (2), volume 6353 of Lecture Notes in
Computer Science, pages 40-48. Springer, 2010.
• Tomasz Maszczyk and Wlodzislaw Duch. Support Feature Machine for DNA Microarray Data. In Marcin Szczuka, Marzena Kryszkiewicz, Sheela Ramanna, Richard
Jensen and Qinghua Hu, editors, RSCTC, volume 6086 of Lecture Notes in Computer Science, pages 178-186. Springer, 2010.
• Tomasz Maszczyk and Wlodzislaw Duch. Triangular visualization. In Leszek Rutkowski,
Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh and Jacek M. Zurada, editors, ICAISC, volume 6113 of Lecture Notes in Computer Science, pages 445–452.
Springer, 2010.
• Tomasz Maszczyk and Wlodzislaw Duch. Support Feature Machines: Support Vectors are not enough. In WCCI, pages 3852–3859. IEEE Press, 2010.
• Wlodzislaw Duch and Tomasz Maszczyk. Universal learning machines. In Chi-Sing
Leung, Minho Lee, and Jonathan Hoyin Chan, editors, ICONIP (2), volume 5864 of
Lecture Notes in Computer Science, pages 206-215. Springer, 2009.
• Wlodzislaw Duch and Tomasz Maszczyk. Almost random projection machine. In
Cesare Alippi, Marios M. Polycarpou, Christos Panayiotou, and Georgios Ellinas,
editors, ICANN (1), volume 5768 of Lecture Notes in Computer Science, pages 789798. Springer, 2009.
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• Tomasz Maszczyk and Wlodzislaw Duch. Comparison of Shannon, Renyi and Tsallis
entropy used in decision trees. In Leszek Rutkowski, Ryszard Tadeusiewicz, Lotfi
A. Zadeh, and Jacek M. Zurada, editors, ICAISC, volume 5097 of Lecture Notes in
Computer Science, pages 643-651. Springer, 2008.
• Tomasz Maszczyk and Wlodzislaw Duch. Support vector machines for visualization
and dimensionality reduction. In Vera Kurkov, Roman Neruda, and Jan Koutnk,
editors, ICANN (1), volume 5163 of Lecture Notes in Computer Science, pages 346356. Springer, 2008.
Conferences
• International Conference on Neural Information Processing, Doha, Qatar,
12–15 November, 2012
• International Conference on Artificial Neural Networks, Lausanne, Switzerland,
11–14 September, 2012
• International Conference on Artificial Intelligence and Soft Computing, Zakopane,
Poland,
29 April – 3 May, 2012
• International Conference on Artificial Neural Networks, Thessaloniki, Greece,
15–18 September, 2010
• World Congress on Computational Intelligence, Barcelona, Spain,
18–23 July, 2010
• 7th International Conference on Rough Sets and Current Trends in Computing,
Warsaw, Poland,
28–30 June, 2010
• International Conference on Artificial Intelligence and Soft Computing, Zakopane,
Poland,
13–17 June, 2010
• International Conference on Artificial Neural Networks, Limassol, Cyprus,
14–17 September, 2009
• International Conference on Artificial Neural Networks, Prague, Czech Republic,
3–6 September, 2008
• International Conference on Artificial Intelligence and Soft Computing, Zakopane,
Poland,
22–26 June, 2008
• Body, perception and awareness, Toru´
n, Poland,
23–25 November, 2009
• Argumentation as a Cognitive Process, Toru´
n, Poland,
15–17 May, 2008
• Enactivism: a new paradigm, Toru´
n, Poland,
6–8 October, 2008
• Third Ethics and Science for Environment Forum, Toru´
n, Poland,
12–14 October, 2008
• See how the brain works, Warsaw, Poland,
13 October, 2007
• Self, Intersubjectivity and Social Neuroscience: From Mind and Action to Society,
Toru´
n, Poland,
24–26 September, 2007
• The second congress of network security, Warsaw,
27–28 February, 2006
• Linux Autumn, Ustro´
n, Poland,
28-30 October, 2005
• Statistics and data mining in scientific research, Warsaw, Poland,
24 October, 2005
• Microsoft SQL Server, Katowice, Poland,
6 October, 2005
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Scientific
committee
International Conference on Artificial Neural Networks – Hamburg, Germany
15–19 September, 2014
World Congress on Computational Intelligence – ALML: International Workshop on Advances in Learning from/with Multiple Learners, Beijing, China
6–11 July, 2014
International Joint Conference on Neural Networks – IML’2013: Special Session
on Incremental Machine Learning: Methods and Applications, Dallas, Texas, USA
4–9 August, 2013
Workshops
Machine Learning Summer School – National University of Singapore, Singapore
13–17 June, 2011
Summer School on Neural Networks in Classification, Regression and Data
Mining – Polytechnic School of Engineering of Porto, Porto, Portugal
7–11 July, 2008
Summer School in Statistical Learning, Data mining and Regression Tools –
Second University of Naples, Terra Murata - Island of Procida, Italy
3–7 July, 2007
Professional
experience
Nicolaus Copernicus University,
Grudziadzka 5, 87-100, Toru´
n, Poland
Teaching and research assistant (October, 2006 – present)
My duties include scientific research in Computer Science, leading weekly lectures and
computer lab exercises with students.
NEUCA,
Szosa Bydgoska 58, 87-100, Toru´
n, Poland
SPIN internship - Consistency of Business and Science
(October, 2010 – December, 2010)
My duties included creation of a system to predicting financial potential of pharmaceutical stores.
Central Mining Institute,
Plac Gwark´
ow 1, 40-166, Katowice, Poland
Expert of computational intelligence methods (July, 2005 – December, 2008)
My duties included creation of a system to predicting geometrical changes of the mining
tunnel.
Silesian University of Technology,
Zygmunta Krasi´
nskiego 13, 40-019, Katowice, Poland
System Administrator (October, 2005 – June, 2006)
My duties include taking care of faculty computer system (setting up the network,
installation of software and hardware).
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Teaching
experience
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Computational Intelligence, programming models, tools
Windows Server Administration Course, administration, networking
Object-oriented Programming, C++ programming, tools
Programming Languages, languages basics, tools, libraries
C programming, language, tools
Introduction to Informatics, basic computer usage
Abilities
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Languages: Polish (mother tongue), English (advanced)
Computer languages: C, C++, C#, LATEX, Matlab, Pascal, PHP
Operating systems: Linux, Windows (usage and administration – certificate)
Other computer skills: Asp.Net, HTML, Microsoft Office, SQL
Other: driving license, paragliding certificate
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Tomasz Maszczyk - Department of Informatics