Leszek Rutkowski

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  • He has been engaged in an extensive research on data mining, machine learning, pattern recognition, neural networks and fuzzy systems. Among others, he developed a new class of probabilistic neural networks and neuro-fuzzy systems, recently he has presented several new approaches to stream data mining. All the results have been published in various series of IEEE Transactions.
  • He is an IEEE Fellow - awarded “for his contribution to neurocomputing and flexible fuzzy systems”, see here.
  • He is an elected member of the Polish Academy of Sciences.
  • He is the author of many books including:
  • He is the author / co-author of more than 200 technical papers (widely cited – his Web of Science h-index is 32, Google Scholar – 44) including articles published in the most prestigious journals.
  • He is the founder and President of the Polish Neural Network Society, see here.
  • He organized and served as a General Chair of the International Conferences on Artificial Intelligence and Soft Computing held in 1996, 1997, 1999, 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2013, 2014, 2015 and 2016, see here.
  • He received a degree honoris causa (see here) from prestigious AGH University of Science and Technology in Cracow “in recognition of outstanding scientific achievements in the field of artificial intelligence in particular neuro-fuzzy systems”, see here.

News

  • - My new book "Stream data mining: algorithms and their probabilistic properties": see here.
  • - Our conference: see here.
  • - My invited lecture in ICCI 2016: see here.
  • - My tutorial on Stream data mining, WCCI 2016: see here.

Curriculum

Leszek Rutkowski received the MSc and PhD degrees from the Technical University of Wroclaw, Poland, in 1977 and 1980, respectively. Since 1980, he has been with the Technical University of Czestochowa, where he is currently a professor and director of the Institute of Computational Intelligence. From 1987 to 1990, he held a visiting position at the School of Electrical and Computer Engineering, Oklahoma State University. His research interests include data stream mining, big data analysis, neural networks, fuzzy systems, computational intelligence, pattern classification, and expert systems. He has published more than 200 technical papers, including 22 in various series of IEEE Transactions. He is the author of the following books: Computational Intelligence (Springer, 2008), New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing (Springer, 2004), Flexible Neuro-Fuzzy Systems (Kluwer Academic, 2004), Methods and Techniques of Artificial Intelligence (2005, in Polish), Adaptive Filters and Adaptive Signal Processing (1994, in Polish), and coauthor of two others (1997 and 2000, in Polish) Neural Networks, Genetic Algorithms and Fuzzy Systems and Neural Networks for Image Compression. He is the president and founder of the Polish Neural Networks Society. He organized and served as a General Chair of the International Conferences on Artificial Intelligence and Soft Computing held in 1996, 1997, 1999, 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2013, 2014, 2015 and 2016, He was an associate editor of the IEEE Transactions on Neural Networks (1998-2005) and IEEE Systems Journal (2007-2010). He is an editor-in-chief of the Journal of Artificial Intelligence and Soft Computing Research, and he is on the editorial board of the IEEE Transactions on Cybernetics, International Journal of Neural Systems, International Journal of Applied Mathematics and Computer Science and International Journal of Biometric. He is a recipient of the IEEE Transactions on Neural Networks 2005 Outstanding Paper Award. He served in the IEEE Computational Intelligence Society as the chair of the Distinguished Lecturer Program (2008-2009) and the chair of the Standards Committee (2006-2007). He is the founding chair of the Polish chapter of the IEEE Computational Intelligence Society, which won the 2008 Outstanding Chapter Award. In 2004, he was elected as a member of the Polish Academy of Sciences. In 2004, he was awarded by the IEEE Fellow membership grade for contributions to neurocomputing and flexible fuzzy systems. He received a degree honoris causa from prestigious AGH University of Science and Technology in Cracow “in recognition of outstanding scientific achievements in the field of artificial intelligence in particular neuro-fuzzy systems”.

Research group

See the presentation below:

presentation

Publications

List of works published in journals issued by the IEEE

  1. L. Rutkowski, M. Jaworski, L. Pietruczuk, P. Duda (2015), A New Method for Data Stream Mining Based on the Misclassification Error, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 5, pp. 1048-1059. pdf
  2. L. Rutkowski, M. Jaworski, P. Duda, L. Pietruczuk (2014), Decision Trees for Mining Data Streams Based on the Gaussian Approximation, IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 1, pp. 108-119. pdf
  3. L. Rutkowski, L. Pietruczuk, P. Duda, M. Jaworski (2013), Decision Trees for Mining Data Streams Based on the McDiarmid's Bound, IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 6, pp. 1272-1279. pdf
  4. L. Rutkowski, A. Przybył, K. Cpałka (2012), Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE Transactions on Industrial Electronics, vol. 59, pp. 1238-1247. pdf
  5. L. Rutkowski, K. Cpałka (2005), Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE Trans. on Fuzzy Systems, vol. 13, pp. 140-151. pdf
  6. L. Rutkowski (2004), Generalized regression neural networks in time-varying environment, IEEE Trans. Neural Networks, vol. 15, pp. 576-596. pdf
  7. L. Rutkowski (2004), Adaptive probabilistic neural-networks for pattern classification in time-varying environment, IEEE Trans. Neural Networks, vol. 15, pp. 811-827. pdf
  8. L. Rutkowski, K. Cpałka (2003), Flexible neuro-fuzzy systems, IEEE Transactions on Neural Networks, vol. 14, pp. 554-574. pdf
  9. J. Bilski, L. Rutkowski (1998), A fast training algorithm for neural networks, IEEE Transactions on Circuits and Systems II, June 1998, vol. 45, pp. 749-753.
  10. L. Rutkowski (1993), Multiple Fourier series procedures for extraction of nonlinear regressions from noisy data, IEEE Transactions on Signal Processing, vol. 41, No.10, pp. 3062-3065.
  11. L. Rutkowski (1991), Identification of MISO nonlinear regressions in the presence of a wide class of disturbances, IEEE Transactions on Information Theory, vol. IT-37, pp. 214-216.
  12. L. Rutkowski, E. Rafajłowicz (1989), On global rate of convergence of some nonparametric identification procedures, IEEE Transaction on Automatic Control, vol. AC-34, No.10, pp.1089-1091.
  13. L. Rutkowski (1986), A general approach for nonparametric fitting of functions and their derivatives with applications to linear circuits identification, IEEE Trans. Circuits Syst., vol. CAS-33, pp. 812-818.
  14. T. Gałkowski, L. Rutkowski (1986), Nonparametric fitting of multivariable functions, IEEE Transactions on Automatic Control, vol. AC-31, pp. 785-787.
  15. T. Gałkowski, L. Rutkowski (1985), Nonparametric recovery of multivariate functions with applications to system identification, Proceedings of the IEEE, vol. 73, pp. 942-943, New York.
  16. L. Rutkowski (1984), On nonparametric identification with prediction of time-varying systems, IEEE Transactions on Automatic Control, vol. AC-29, pp. 58-60.
  17. L. Rutkowski (1982), On-line identification of time-varying systems by nonparametric techniques, IEEE Transactions on Automatic Control, vol. AC-27, pp. 228-230.
  18. L. Rutkowski (1982), On system identification by nonparametric function fitting, IEEE Transactions on Automatic Control, vol. AC-27, pp. 225-227.
  19. L. Rutkowski (1982), On Bayes risk consistent pattern recognition procedures in a quasi-stationary environment, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-4, No 1, pp. 84-87.
  20. W. Greblicki, L. Rutkowski (1981), Density-free Bayes risk consistency of nonparametric pattern recognition procedures, Proceedings of the IEEE, vol. 69, No 4, pp. 482-483.
  21. L. Rutkowski (1980), Sequential estimates of probability densities by orthogonal series and their application in pattern classification, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-10, No 12, pp. 918-920. pdf

Professional activities (selected)

  1. IEEE
    • - Fellow IEEE, from 2005,
    • - Chairman of the Polish Chapter of the IEEE Computational Intelligence Society, 2004-2006,
    • - Chairman of the Standard Committee of the IEEE Computational Intelligence Society, 2005-2007,
    • - Chairman of the Distinguished Lecturer Program of the IEEE Computational Intelligence Society, 2008-2009.
  2. Polish Academy of Sciences
    • - Member of the Polish Academy of Sciences, from 2004,
    • - Vice - Chairman of the Electronics Committee of the Polish Academy of Sciences - Silesian Chapter, 1996-2010,
    • - Member of the Committee of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences, 1995-2010,
    • - Member of the Committee of Automation and Robotics of the Polish Academy of Sciences, from 2003,
    • - Member of the Committee of Informatics of the Polish Academy of Sciences, from 2011.
  3. Polish Neural Network Society
    • - President of the Polish Neural Network Society, from 1995,
    • - Chairman of International Conferences on Neural Networks, Soft Computing and Artificial Intelligence organized in 1994, 1996, 1997, 1999, 2000, 2002, 2004, 2006, 2010,2012, 2014, 2015 and 2016.

Projects (selected)

  1. Current
    1. New approach to modelling in non-stationary environment, founded by National Science Centre, 2015-2018.
  2. Completed projects
    1. Innovative intelligent data analysis and computational paradigms for industry and healthcare, founded by Swiss Government and European Union, 2010-2015,
    2. Development of intelligent techniques for modeling, controlling and optimizing complex manufacturing systems, Singapore-Poland Joint Research Project, 2008-2011,
    3. Development of neuro-computer technologies for medical and technical diagnosis, Poland-Russian Federation Joint Research Project, 2006-2009.

Editorial activities (selected)

  • - Associate Editor of IEEE Transactions on Cybernetics, from 2014,
  • - Member of Editorial Board of International Journal of Neural Systems, from 2010,
  • - Editor-in-Chief of Journal of Artificial Intelligence and Soft Computing Research, from 2011,
  • - Member of Editorial Board of International Journal of Applied Mathematics and Computer Science, from 1996,
  • - Member of Editorial Board of Journal of Automation, Mobile Robotics and Intelligent Systems, from 2007,
  • - Member of Editorial Board of International Journal of Biometric, from 2008,
  • - Associate Editor of the IEEE Systems Journal, 2007-2010,
  • - Associate Editor of the IEEE Transactions on Neural Networks, 1998 – 2005,
  • - Associate Editor of the Vietnam Journal of Computer Science, Springer, from 2014.

Ph. D. graduates

  1. Robert Cierniak, Application of neural networks for image compression, 1995, Ph.D. with distinction.
  2. Jarosław Bilski, Fast procedures for neural networks learning, 1995, Ph.D. with distinction.
  3. Jacek Smoląg, Realization of neural networks using systolic structures, 1997, Ph.D.
  4. Maciej Piliński, Fuzzy controllers based on neural networks, 1997, Ph.D. with distinction.
  5. Krzysztof Cpałka, Flexible neuro-fuzzy systems, 2002, Ph.D. with distinction.
  6. Rafał Scherer, Classification methods based on neuro-fuzzy systems, 2002, Ph.D. with distinction.
  7. Janusz Starczewski, Fuzzy inference systems based on type 2 fuzzy sets, Czestochowa, 2002, Ph.D. with distinction.
  8. Agata Pokropińska, Investigation of effectiveness of neuro-fuzzy systems, 2005, Ph.D. with distinction.
  9. Marcin Gabriel, Evolutionary design of modular intelligent systems, 2007, Ph.D. with distinction.
  10. Marcin Korytkowski, Modular neural networks and neuro-fuzzy structures for classification, 2007, Ph.D. with distinction.
  11. Maciej Jaworski, Data stream mining algorithms based on hybrid techniques, 2015, Ph.D. with distinction.
  12. Lena Pietruczuk, Application of ensemble algorithms for data stream mining, 2015, Ph.D. with distinction.
  13. Piotr Duda, Data Stream Classification Algorithms, 2015, Ph.D. with distinction.

Selected papers

  1. L. Rutkowski, M. Jaworski, L. Pietruczuk, P. Duda (2015), A New Method for Data Stream Mining Based on the Misclassification Error, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 5, pp. 1048-1059. pdf
  2. L. Rutkowski, M. Jaworski, L. Pietruczuk, P. Duda (2014), The CART Decision Trees for Mining Data Streams, Information Sciences, vol. 266, pp. 1-15. pdf
  3. L. Rutkowski, M. Jaworski, P. Duda, L. Pietruczuk (2014), Decision Trees for Mining Data Streams Based on the Gaussian Approximation, IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 1, pp. 108-119. pdf
  4. L. Rutkowski, L. Pietruczuk, P. Duda, M. Jaworski (2013), Decision Trees for Mining Data Streams Based on the McDiarmid's Bound, IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 6, pp. 1272-1279. pdf
  5. L. Rutkowski, A. Przybyl, K. Cpalka (2012), Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE Transactions on Industrial Electronics, vol. 29, no. 2, pp. 1238-1247. pdf
  6. Li X, Er MJ, Lim BS, Zhou JH, Gan OP, Rutkowski L. (2010), Fuzzy regression modeling for tool performance prediction and degradation detection., Int J Neural Syst. 2010 Oct;20(5):405-19. pdf
  7. L. Rutkowski and K. Cpalka (2005), Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE Trans. on Fuzzy Systems, vol. 14. pdf
  8. L. Rutkowski (2004), Generalized regression neural networks in time-varying environment, IEEE Trans. Neural Networks, vol. 15, pp. 576-596. pdf
  9. L. Rutkowski (2004), Adaptive probabilistic neural-networks for pattern classification in time-varying environment, IEEE Trans. Neural Networks, vol. 15. pdf
  10. L. Rutkowski, K. Cpalka (2003), Flexible neuro-fuzzy systems, IEEE Transactions on Neural Networks, vol. 14, pp. 554-574. pdf
  11. L. Rutkowski (1980), Sequential Estimates of Probability Densities by Orthogonal Series and Their Application in Pattern Classification, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-10, No 12, pp. 918-920. pdf

Contact

Leszek Rutkowski

Czestochowa University of Technology
Institute of Computational Intelligence
Armii Krajowej 36
42-200 Czestochowa
Poland

Tel. +48 34 325 05 46
Fax. +48 34 325 05 46
Mobile: +48 600 935 880

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