Tomasz Maszczyk Contact Information Research Interests Education Nicolaus Copernicus University Tel.: (+48)(56) 6113294 Faculty of Physics, Astronomy and Informatics Mobile: (+48) 600079834 Department of Informatics Fax: (+48)(56) 6225397 Grudzi adzka 5, 87-100 Toruń, Poland E-mail: tmaszczyk@is.umk.pl Computational intelligence, artificial intelligence, cognitive informatics, kernel methods, data transformation, data visualization Nicolaus Copernicus University, Toruń, Poland Ph.D. in Computer Science (March 2014) Dissertation Topic: Universal Learning Machines Advisor: prof. W lodzis law Duch Silesian University of Technology, Katowice, Poland M.Sc. diploma (June 2006) Dissertation Topic: Analiza sk ladników g lównych 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, Toruń, 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, Toruń, 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) Toruń, 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 1 of 5
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 W lodzis law 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, W lodzis law Duch and Tomasz Maszczyk. Feature ranking methods used for selection of prototypes. In Alessandro Villa, W lodzis law Duch, Peter Erdi, Francesco Masulli and Gunther Palm, editors, ICANN, volume 7553 of Lecture Notes in Computer Science, pages 296-304. Springer, 2012. W lodzis law 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 W lodzis law 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. W lodzis law Duch, Tomasz Maszczyk and Marek Grochowski. Optimal Support Features for Meta-Learning. In Norbert Jankowski, W lodzis law 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 W lodzis law 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 W lodzis law 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 W lodzis law 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 W lodzis law 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 W lodzis law Duch. Support Feature Machines: Support Vectors are not enough. In WCCI, pages 3852 3859. IEEE Press, 2010. W lodzis law 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. W lodzis law 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 789-798. Springer, 2009. 2 of 5
Tomasz Maszczyk and W lodzis law 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 W lodzis law 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 346-356. 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 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, 28 30 June, 2010 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 22 26 June, 2008 Body, perception and awareness, Toruń, 23 25 November, 2009 Argumentation as a Cognitive Process, Toruń, 15 17 May, 2008 Enactivism: a new paradigm, Toruń, 6 8 October, 2008 Third Ethics and Science for Environment Forum, Toruń, 12 14 October, 2008 See how the brain works, Warsaw, 13 October, 2007 Self, Intersubjectivity and Social Neuroscience: From Mind and Action to Society, Toruń, 24 26 September, 2007 The second congress of network security, Warsaw, 27 28 February, 2006 Linux Autumn, Ustroń, 28-30 October, 2005 Statistics and data mining in scientific research, Warsaw, 24 October, 2005 Microsoft SQL Server, Katowice, 6 October, 2005 3 of 5
Scientific International Conference on Artificial Neural Networks Hamburg, Germany committee 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, Toruń, 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, Toruń, 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 Gwarków 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 Krasińskiego 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). 4 of 5
Teaching experience 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 Languages: Polish (mother tongue), English (advanced) Computer languages: C, C++, C#, L A TEX, 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 5 of 5