Mirosław Kordos

Mission

Delivering the best artificial intelligence solutions - research and implementations in industry.

Professional Interests

Artificial intelligence - research in neural networks, image recognition and evolutionary optimization
Intelligent software development - systems for data analysis and optimization of technological processes with artificial intelligence methods

Education and Job History

04.2019: "habilitacja" in Computer Engineering (a degree in Poland, which is roughly equivalent to the associate professor post)
07.2011: MBA (Master of Business Administration)
06.2005: PhD in Computer Engineering
06.1994: MSc in Electrical Engineering
06.1994-present: professional certificates shown in the right panel
09.1999-present: owner of an IT startup
10.2009-present: associate professor, University of Bielsko-Biała
10.2007-09.2009: assistant professor, Silesian University of Technology
01.2006-09.2007: research fellow, CCHMC
11.1999-12.2005: systems engineer, Techmex
08.1994-09.1999: software developer, Bielbit
06.1994-present: additional professional activities listed later on this page

Selected Publications

Scientific support: 10 years for conference papers, 20 years for journal papers, 30 years for books and PhD Thesis. The publications are sorted by topic, not chronologically.

Data Selection and Evolutionary Optimization

M. Kordos, R. Kulka, T. Steblik, R. Scherer, Local Search in Selected Crossover Operators, LNCS, vol. 13352, pp. 369–382, ICCS, June 2022
M. Kordos, M. Blachnik, R. Scherer, Fuzzy Clustering Decomposition of Genetic Algorithm-based Instance Selection for Regression Problems, Information Sciences, vol. 587, pp. 23-40, March 2022
Marcin Blachnik, M. Kordos, Comparison of Instance Selection and Construction Methods with Various Classifiers, Applied Sciences, 10(11), 3933, June 2020
M. Kordos, J. Boryczko, M. Blachnik, S. Golak Optimization of Warehouse Operations with Genetic Algorithms, Applied Sciences, 10(14), 4817, June 2020
M. Kordos, Á. Arnaiz-González, C. García-Osorio, Evolutionary prototype selection for multi-output regression, Neurocomputing, Vol. 358, pp. 309-320, May 2019
M. Kordos, Instance Selection in Machine Learning. New Directions in Similarity-based, Evolutionary and Embedded Methods, ATH, January, 2019
M. Kordos, Krystian Łapa, Multi-Objective Evolutionary Instance Selection for Regression Tasks, Entropy, 20(10), 746, September 2018
M. Blachnik, M. Kordos, S. Golak, Data Compression Measures for Meta-Learning Systems, Annals of Computer Science and Information Systems, vol. 15, p.25–28, FedCSIS, September 2018
M. Kordos, M. Wydrzyński, K.Łapa, Obtaining Pareto Front in Instance Selection with Ensembles and Populations, Lecture Notes in Artificial Intelligence, vol. 10841, pp. 438-448, ICAISC, June 2018
M. Kordos, A. Kłos-Witkowska, Increasing Speed of Genetic Algorithm-based Instance Selection, vol. 2, pp. 590-595, IDAACS, September 2017
M. Kordos, Optimization of Evolutionary Instance Selection, Lecture Notes in Artificial Intelligence, vol. 10245, pp. 359-369, ICAISC, June 2017
M. Kordos, Data Selection for Neural Networks, Schedae Informaticae, vol. 25, pp. 153–164, February 2017
Á. Arnaiz-González, M. Blachnik, M. Kordos, C. García-Osorio, Fusion of Instance Selection Methods in Regression Tasks, Information Fusion, vol. 30, Pages 69–79, July 2016
M. Kordos, A. Rusiecki, Reducing Noise Impact on MLP Training, Soft Computing, vol. 20, issue 1, pp. 49-65, January 2016
M. Blachnik, M. Kordos, Information Selection and Data Compression RapidMiner Library, in: Machine Intelligence and Big Data in Industry, Springer, June 2016
M. Kordos, Instance Selection Optimization for Neural Network Training, Lecture Notes in Artificial Intelligence, vol. 9692, pp. 610-620, ICAISC, June 2016
M. Kordos, A. Rusiecki, M. Blachnik, Noise Reduction in Regression Tasks with Distance, Instance, Attribute and Density Weighting, CYBCONF, June 2015
A. Rusiecki, M. Kordos, T. Kamiński, K. Greń, Training Neural Networks on Noisy Data, Lecture Notes in Artificial Intelligence, vol. 8467, pp. 131–142, ICAISC, June 2014
M. Blachnik, M. Kordos, Bagging of Instance Selection Algorithms, Lecture Notes in Artificial Intelligence, vol. 8468, pp. 40–51, ICAISC, June 2014
M. Kordos, A. Rusiecki, Improving MLP Neural Network Performance by Noise Reduction. Lecture Notes in Computer Science, vol. 8273, pp. 133-144, TPNC, December 2013
M. Kordos, M. Blachnik, S. Białka, Instance Selection in Logical Rule Extraction for Regression Problems, Lecture Notes in Artificial Intelligence, vol. 7895, pp.167-175, ICAISC, June 2013
M. Kordos, M. Blachnik, S. Białka, Instance Selection for Prediction and Rule Extraction with Regression Trees, 4th Chilean Workshop on Pattern Recognition, pp. 20-23, November 2012
M. Kordos, M. Blachnik, Instance Selection with Neural Networks for Regression Problems, Lecture Notes in Computer Science, vol. 7553, pp. 263-270, ICANN, September 2012

Neural Networks

M. Kordos, A. Rusiecki,Effectiveness of Pretraining in Deep Neural Networks, TMFL, Schedae Informaticae, vol. 24, pp. 84-93, 2015
M. Kordos, A. Rusiecki, T. Kamiński, K. Greń, Weight Update Sequence in MLP Networks, IDEAL 2014
M. Kordos, P. Kania, P. Budzyna, M. Blachnik, T. Wieczorek, S. Golak, Combining the advantages of neural networks and decision trees for regression problems in a steel temperature prediction system, Lecture Notes in Artificial Intelligence, vol. 7209, pp. 36-45, HAIS, March 2012
M. Kordos, A. Ćwiok, A New Approach to Neural Network based Stock Trading Strategy, Lecture Notes in Computer Science, vol. 6936, pp. 429-436, IDEAL, September 2011
M. Kordos, W. Duch, Variable Step Search Algorithm for Feedforward Networks, Neurocomputing, vol. 71, issue 13-15, pp. 2470-2480, August 2008
M. Kordos, W. Duch, Variable Step Search MLP Training Method, Int. Conf. on Artificial Intelligence and Soft Computing, Zakopane, June 2006
Mirosław Kordos, Search-based Algorithms for Multilayer Perceptrons, PhD Thesis, The Silesian University of Technology, Gliwice, June 2005
Mirosław Kordos, Algorytmy przeszukiwania w zastosowaniu do perceptrona wielowarstwowego, autoreferat rozprawy doktorskiej, Politechnika Śląska, Gliwice, Czerwiec 2005
Miroslaw Kordos, Search-based Approach to Multilayer Perceptron Training, Studia Informatica, vol. 26, no. 1(62), 2005
Miroslaw Kordos, Directions in Multilayer Perceptron Weight Space, 4th Warsaw International Seminar on Soft Computing, Warsaw, October 2004
M. Kordos, W. Duch, A Survey of Factors Influencing MLP Error Surface, Control and Cybernetics, vol. 33, no. 4, pp. 611-631, 2004
M. Kordos, W. Duch, Variable Step Search Algorithm for MLP Training, IASTED, pp. 215-220, Marbella, Spain, September 2004
M. Kordos, W. Duch, On Some Factors Influencing MLP Error Surface, Int. Conf. on Artificial Intelligence and Soft Computing, pp. 217-222, Zakopane, June 2004
M. Kordos, W. Duch, Search-based Training for Logical Rule Extraction by Multilayer Perceptron, Int. Conf. On Artificial Neural Networks, pp. 86-89, Istanbul, June 2003
M. Kordos, W. Duch, Multilayer Perceptron Trained with Numerical Gradient, Int. Conf. On Artificial Neural Networks, pp. 106-109, Istanbul, June 2003

Image Recognition and Other Topics

A collective work of which I am one of the authors, Photo album "Pojezierze Drawskie - piękne i bezpieczne" (Drawsko Lake District - beautiful and safe), February 2021
R. Grycuk, P. Najgebauer, M. Kordos, M.M. Scherer, A. Marchlewska, Fast Image Index for Database Management Engines, Journal of Artificial Intelligence and Soft Computing Research, vol. 10, No.2, pp. 113-123, 2020
M. Korytkowski, R. Senkerik, M. M. Scherer, R. A. Angryk, M. Kordos, A. Siwocha, Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic, Journal of Artificial Intelligence and Soft Computing Research, vol. 10, No. 1, pp. 57-69, 2020
S. Golak, M. Kordos, Shaping inductor geometry for casting functionally graded composites, COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 35 Iss: 1, pp.16 - 26, 2016, 10.1108/COMPEL-10-2014-0288
M. Blachnik, M. Kordos, W. Duch, Extraction of Prototype-based Threshold Rules with Neural Training Procedure, Lecture Notes in Computer Science, vol. 7553, pp. 255-262, ICANN, September 2012
M. Blachnik, M. Kordos, T. Wieczorek, S. Golak, Selecting Representative Prototypes for Prediction of the Oxygen Activity in Electric Arc Furnace, Lecture Notes in Artificial Intelligence, vol. 7267, ICAISC, April 2012
M. Blachnik, M. Kordos, Computational Complexity Reduction and Interpretability Improvement of Distance-based Decision Trees, Lecture Notes in Artificial Intelligence, vol. 7208, pp. 288-297, HAIS, March 2012
M. Kordos, M. Blachnik, T. Wieczorek, S. Golak, S. Białka, J. Piotrowski, Evolutionary Optimized Forest of Regression Trees. Application in Metallurgy, Lecture Notes in Artificial Intelligence, vol. 7208, pp. 409-420, HAIS, March 2012
E. Bosco, S. Kumar, F. Marchioni, J. Biesiada, M. Kordos, Rational Design of Small Molecule Inhibitors Targeting the Rac GTPase-p67phox Signaling Axis in Inflammation, Chemistry & Biology, Vol. 19, Issue 2, pp. 228-242, February 2012
M. Blachnik, M. Kordos, Simplifying SVM with Weighted LVQ Algorithm, Lecture Notes in Computer Science, vol. 6936, pp. 212-219, IDEAL, September 2011
M. Kordos, M. Blachnik, T. Wieczorek, Evolutionary Optimization of Regression Model Ensembles in Steel-making Process, Lecture Notes in Computer Science, vol. 6936, pp. 369-376, IDEAL, September 2011
M. Kordos, M. Blachnik, T. Wieczorek, S. Golak, Neural Network Committees Optimized with Evolutionary Methods for Steel Temperature Control, Lecture Notes in Artificial Intelligence, vol. 6922, pp. 42-51, ICCCI, August 2011
M. Kordos, M. Blachnik, T. Wieczorek, Temperature Prediction in Electric Arc Furnace with Neural Network Tree, Lecture Notes in Computer Science, vol. 6792, pp. 71-78, ICANN, June 2011
M. Kordos, M. Blachnik, J. Kozłowski, M. Perzyk, O. Bystrzycki, M. Gródek, A. Byrdziak, Z. Motyka A Hybrid System with Regression Trees in Steelmaking Process, Lecture Notes in Artificial Intelligence, vol. 6678, pp. 222-229, HAIS, June 2011
M. Kordos, IT Project Management with System Thinking, KSW, September 2010
T. Wieczorek, M. Kordos, Neural Network-based Prediction of Additives in the Steel Refinement Process, Computer Methods in Materials Science, vol. 10, No. 1, pp. 16-24, March 2010
M. Blachnik, A. Bukowiec, M. Kordos, J. Biesiada Information Theory vs Correlation-based Feature Ranking Methods in Application to Metallurgical Problems, Lecture Notes in Artificial Intelligence, vol. 6113, pp. 289-298, ICAISC, June 2010
M. Kordos, D. Strzempa, M. Blachnik, Do We Need Whatever More than k-NN?, Lecture Notes in Artificial Intelligence, vol. 6113, pp. 414-421, ICAISC, June 2010
M. Kordos, Prediction of Additives in the Steelmaking Process, Symposium On Methods in Artificial Intelligence, Gliwice, November 2009
M. Kordos, Neural Network Regression for LHF Process Optimization, Lecture Notes in Computer Science, vol. 5506, pp. 453-460, ICONIP, April 2009
M. Kordos, A New Method Hybrid of Tag SNP Selection, Int. Conf. on Artificial Intelligence and Soft Computing, Zakopane, June 2008

Scientific Activities

Research Projects:

Automated work time scheduling with AI methods, projekt NCBIR/UE nr POIR.01.01.01-00-0302/22, 2023-2024
Technology of multi-stage employee verification, project NCBIR/EU, 2020-2022
Adaptive Advanced Planning chd Scheduling System with Artificial Intelligence Methods, project NCBIR/EU No. POIR.01.01.01-00-0861/17, 2017-2019
Evolutionary Methods in Data Selection, project NCN No. 2017/01/X/ST6/00202, 2017-2018
Knowledge Transfer Platform, projekt NCBIR/EU No. POIG.02.03.03-00-091/10, 2014-2015
Analysis and Modeling of Inverter Reliability Assessment with Data Exploration Techniques, project ABB No. PLCRC/50002993/02/2643/2012, 2012-2013
Logical Rule Extraction in Regression Problems, grant ATH nr 2/IV/GW/2011, 2012
System of Continuous Temperature and Oxygen Prediction in Electric Arc Furnace, project MNiSW No. 4866/B/T02/2010/38, 2010-2011
Prototype-based Rule Systems and Their Application to Experimental Data Analysis, project MNiSW No. 4421/B/T02/2010/38, 2010-2012
Virtual Academy of Bioinformatics, project EU No. POIG.02.03.02-00-044/09, 2009-2011
Implementation of Data Mining Methods in Improving the Economics of Steel Casting, project MNiSW No. R07/001504 2008-2010
Building and Implementation of an Intelligent Expert System to Control Steel Production Process at Ferrostal Łabędy Steelworks, project MNiSW No. ZR9 2006 C/06742, 2006-2008
and two more

Reviews for Scientific Journals:

Neural Networks
Neural Network World
IEEE Transaction on Industrial Electronic
IEEE Transactions on Cybernetics
Computational Statistics
Computer Methods and Programs in Biomedicine
LNCS Transactions on Computational Collective Intelligence
Knowledge-Based Systems
Entropy
Energies
Applied Sciences
LNCS and LNAI

Presentations at scientific conferences

Int. Conf. on Computer Science (ICCS), London, UK, June 2022
Congress of the Polish Agreement for the Development of Artificial Intelligence (PP-RAI), Wrocław, Poland, October 2019
Int. Conf. on Intelligent Data Engineering and Automated Learning (IDEAL), Madrid, Spain, November 2018
Congress of the Polish Agreement for the Development of Artificial Intelligence (PP-RAI), Poznań, Poland, October 2018
Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2018
Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2017
Int. Conf. on Theoretical Foundations of Machine Learning (TFML), Kraków, Poland, February 2017
Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2016
Int. Conf. on Cybernetics (CYBCONF), Gdynia, Poland, June 2015
Int. Conf. on Theoretical Foundationr on Machine Learning (TFML), Będlewo, Poland, February 2015
Int. Conf. on Intelligent Data Engineering and Automated Learning (IDEAL), Salamanca, Spain, September 2014
Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2014
Int. Conf. on Theory and Practice of Natural Computing (TPNC), Cáceres, Spain, December 2013
Int. Conf. on Trends in Interdisciplinary Studies, Toruń, Poland, November 2013
Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2013
Int. Conf. on Artificial Neural Networks (ICANN), Lousanne, Switzerland, September 2012
Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, April 2012
Int. Conf. on Hybrid Intelligent Systems (HAIS), Salamanca, Spain, March 2012
Int. Conf. on Computational Collective Intelligence (ICCCI), Gdynia, Poland, September 2011
Int. Conf. on Intelligent Data Engineering and Automated Learning, Norwich, UK, September 2011
Int. Conf. on Artificial Neural Networks (ICANN), Helsinki, Finland, April 2011
Int. Conf. on Hybrid Intelligent Systems(HAIS), Wrocław, Poland, June 2011
Int. Conf. on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2010
Symposium On Methods in Artificial Intelligence, Gliwice, Poland, November 2009
Int. Conf. on Neural Information Processing, Auckland, New Zealand, November 2008
and some others before 2008

Scientific cooperation

Politechnika Śląska, Wydz. Inżynierii Materiałowej i Metalurgii
Politechnika Wrocławska, Instytut Informatyki, Automatyki i Robotyki
Politechnika Warszawska, Wydz. Technologii Procesowych
Uniwersytet Mikołaja Kopernika w Toruniu, Wydz. Fizyki, Astronomii i Informatyki
Częstochowa University of Technology, Faculty of Mechanical Engineering and Computer Science
Universidad de Burgos, Area de Lenguajes y Sistemas Informaticos
University of Cincinnati, Department of Biomedical Informatics
and implementations in the industry

Achievements in Intelligent Software Development

.NET, SQL, TensorFlow, OpenCV, RapidMiner, Python and various other technologies, usually several in each system

Production optimization system advanced AI solutions(2020-2022).
Production planning and scheduling system based on artificial intelligence (2017-2020).
Audio player and editor - currently a hobby project used only by some of my friends from music and entertainment industry, but with growth potential (2015-).
Pattern recognition system (2013-2017). The project is being developed in various technologies by a team of several persons, but I am the main contributor.
System for optimization of metallurgical processes (2007-2013), different modules implemented in several companies in Poland.
Trading system for stock exchanges with automatic learning module, incorporating technical analysis and artificial intelligence decision module (2004-2008).
Biomedical data analysis system (2007-2009), diverse technologies.
Instance Selection Library (2012-2014). Marcin Blachnik was the principal ivestigator and did most work. download
A system for analysis electronic components reliability (2012-2014).

Matlab

Several small scientific project including:
Neural networks based regression and incremental learning model (2003-2007)
Analysis of biomedical data (2007-2009)
Models for data mining systems to be used in metallurgy (2007-2008). After performing the preliminary experiments with Matlab the production versions were created in C# or C++.

Delphi

Software for neural network training and visualization (2000-2005). I included lots of my ideas in this software, such as different kind of searches and approximations. That system turned out to work so well, that based on it I wrote my PhD thesis. For more details see here and here.
Decision support system for automobile experts (1996-2000).

A mixture of Pascal, dBase, Clipper

Selected modules of the software used by ZUS (Social Security Department in Poland) (1994-1995). It was quite a big system developed by the company I worked at those days.
Application for the Polish Chamber of Physicians (1995-1997).
Software for textile industry for optimization of technological processes (1994-1997).

Extra Activities: Computer networks and server infrastructure specialist

The experience gained in this area gave me a comprehensive view of the IT environment in companies, including as well technology as management. Currently this allows me to well adjust my work in the main area of competence to cooperate with the rest of the environment both technologically and organizationally.

Microsoft

Projects, service and support of Microsoft networks (also SQL Server, Exchange) for various companies (FIAT, Philips, Befama, Apena, Weldoro and others), 1996-2005

Novell

Projects, service and support of Novell networks for various companies (FIAT, Philips, Befama, Apena, Weldoro and others), 1996-2003

HP

Projects, service and support of HP server technologies for various companies (FIAT, Philips, CityBank, BRE Bank, Kredyt Bank, Fortis Bank, Zywiec Trade, Makro and others), 1998-2005

Extra Activities: Lecturer and Instructor

Courses for students

Artificial Intelligence Methods
Programming in C#
Programming Database Applications
Advanced Programming Techniques
In previous years also other courses in programming

IT Seminars and instructing end users

Was an instructor at IT courses and seminars (1996-present)
Supervision of students during internships and apprenticeships in IT companies (1998-2005)
Was a supervisor of several MSc theses on software development and artificial intelligence (2008-present)
Lectures in the Erasmus program, in Poland and abroad (2013-present)
Preparing student for the Mathematical Kangaroo Competition and courses of programming at the Children's University Unikids (2009-2011).
Various science popularization lectures.
Emcee at dance balls and parties

Raising the next generation

My son Witold is currently a student of electronics at AGH University of Science and Technology
My son Szczepan is currently a secondary school student

Other Interests

Enhancing my research efficiency by studying and applying the knowledge of how the brain works and how to use it effectively

Computational models of brain activity.
Learning, memorizing, reasoning and problem solving techniques.
Taking part in related conferences and workshops.
Not using counterproductive techniques. An example is alcohol, which damages dendrites in the brain. While most of the damage is reversible, some damage is permanent. Every beer you drink makes your brain function less efficiently forever. Drinking alcohol is illogical not only because of impacts on body and brain functioning but also due to the social and economic davastation it causes. For this reason, as a person why wants to act logically, I never drink beer, nor champagne at the new year party, nor any other alcohol.

Enhancing my research efficiency by sports exercises to improve brain oxygenation

Numerous studies have shown that exercising improves cognitive abilities - especially the speed of mental processes and the ability to think creatively.
photos from bicycle trip from Eurovelo 5 route
photos from bicycle trip from Switzerland
photos from bicycle trip from Austria (traveling together with my sons Witold and Szczepan)
photos from bicycle trip from Czechia (traveling together with Witold)
photos from bicycle trip from Italy and Slovenia
photos from bicycle trip from Greenways (traveling together with Witold and Szczepan)
photos from bicycle trip in Alps in vacations 2019
other methods used for enhancing my research efficiency

Creative Commons License. You are free to copy, share and adapt all articles and software from my web page, provided that you attribute my works and place a link to my home page. What you build upon my works may be distributed only under the same or similar license, and you may not distort the meaning of my original texts.

Selected Certificates