Mobirise

Professor at AGH University of Krakow, PL.
Interested in Data Science, Process Mining, Business Process Reengineering, Robotic Process Automation and Expert Systems.

Author and co-author above 120 papers, conference papers, chapters and 4 books. Full record available here. 

In free time house-singer, traveller & book reader.

Selected papers

  1. Brzychczy E., Rostek K., 2024 (in press): Cyfrowa analiza danych i procesów. PWE, Warszawa  link
  2. Brzychczy E., Żuber A., Wil van der Aalst, 2024: Process Mining of Mining Processes: Analyzing Longwall Coal Excavation Using Event Data," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2023.3348496  link
  3. Brzychczy E., Kluza K., Gdowska K., 2024: Exploring hybrid modelling of industrial process - mining use case. In: De Weerdt, J., Pufahl, L. (eds) Business Process Management Workshops. BPM 2023. Lecture Notes in Business Information Processing, vol 492. Springer, Cham  link
  4. Brzychczy E., Szpyrka M., Korski J., Nalepa G.J, 2023: Imperative vs. declarative modeling of industrial process : the case study of the longwall shearer operation. IEEE Access, vol. 11, s. 54495-54508 link
  5. Bobek S., Kuk M., Brzegowski J., Brzychczy E., Nalepa G.J, 2023: KnAC: an approach for enhancing cluster analysis with background knowledge and explanations. Applied Intelligence, vol. 53, iss. 12, s. 15558-15560 link
  6. Kowal B., Włodarz D., Brzychczy E., Klepka A., 2022: Analysis of Employees’ Competencies in the Context of Industry 4.0. Energies, vol. 15, iss. 19, art. no. 7142, s. 1-19 link
  7. Gabryelczyk R., Brzychczy E., Gdowska K., Kluza K., 2022: Business Process Management in CEE Countries: A Literature-Based Research Landscape. W: Business Process Management : Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum : BPM 2022 Blockchain, RPA, and CEE Forum Münster, Germany, September 11–16, Cham : Springer Nature Switzerland AG, s. 279-294  link
  8. Gackowiec P., Brzychczy E., Kesek M., 2021: Enhancement of machinery activity recognition in a mining environment with GPS data. Energies, vol. 14, iss. 12, art. no. 3422, s. 1-19 link
  9. Rodriguez-Fernandez V., Trzcionkowska, A., Gonzalez-Pardo A., Brzychczy E., Nalepa G. J., Camacho D. 2021: Conformance Checking for Time Series-aware Processes. IEEE Transactions on Industrial Informatics, vol. 17, no. 2, art. no. 9018187, s. 871-881. link
  10. Szpyrka M., Brzychczy E., Napieraj A., Korski J., Nalepa G.J., 2020: Conformance checking of a longwall shearer operation based on low-level events. Energies, vol. 13, iss. 24, art. no. 6630, s. 1-18. link
  11. Lipiński P., Brzychczy E., Zimroz R., 2020: Decision tree-based classification for planetary gearboxes' condition monitoring with the use of vibration data in multidimensional symptom space. Sensors, vol. 20, iss. 21, art. no. 5979, s. 1-17. link
  12. Gackowiec P., Podobińska-Staniec M., Brzychczy E., Christopher Kühlbach, Toyga Özver, 2020: Review of key performance indicators for process monitoring in the mining industry. Energies, vol. 13, iss. 19, art. no. 5169, s. 1-20. link
  13. Brzychczy, E.; Gackowiec, P.; Liebetrau, M., 2020: Data Analytic Approaches for Mining Process Improvement - Machinery Utilization Use Case. Resources, vol. 9, iss. 17. link
  14. Brzychczy E., Napieraj A., 2019: Analysis of a mining process performance in a longwall face - visualization proposals. Inżynieria Mineralna, R.21 nr 2, pp. 251-258
  15. Król-Korczak J., Brzychczy E., 2019: Fuzzy system for decision support of post-mining regions reclamation (FSDR). Archives of Mining Sciences, vol.64 no.1, pp. 35-50 
  16. Brzychczy E., 2019: An overview of data mining and process mining applications in underground mining. Inżynieria Mineralna, R.21 nr 1, pp. 301-314
  17. Brzychczy E., 2019: Probabilistic modeling of mining production in an underground coal mine. W: Intelligent Systems in Production Engineering and Maintenance [ISPEM 2018], eds. Anna Burduk [et al.]. Advances in Intelligent Systems and Computing. Cham : Springer Nature Switzerland AG, pp. 655-667  
  18. Brzychczy E., Trzcionkowska A., 2019: Process-oriented approach for analysis of sensor data from longwall monitoring system. W: Intelligent Systems in Production Engineering and Maintenance [ISPEM 2018], eds. Anna Burduk [et al.].Advances in Intelligent Systems and Computing. Cham : Springer Nature Switzerland AG, pp. 611-621 
  19. Nalepa G.J., Brzychczy E., Bobek S., 2018: On the opportunities for using mobile devices for activity monitoring and understanding in mining applications. Intelligent Data Engineering and Automated Learning IDEAL 2018. Eds. Hujun Yin, [et al.]. Cham: Springer Nature Switzerland AG, Lecture Notes in Computer Science 11315, pp. 75-83
  20. Brzychczy E., Trzcionkowska A., 2018: Creation of an event log from a low-level machinery monitoring system for process mining purposes.Intelligent Data Engineering and Automated Learning IDEAL 2018. Eds. Hujun Yin, [et al.]. Cham: Springer Nature Switzerland AG, Lecture Notes in Computer Science 11315, pp 54-63
  21. Trzcionkowska A., Brzychczy E., 2018: Practical aspects of event logs creation for industrial process modelling. W: MAPE 2018 : XV international conference Multidisciplinary Aspects of Production Engineering, Zawiercie, Poland, Vol. 1 iss. 1. Wydawnictwo PANOVA, pp. 77-83
  22. Brzychczy E., 2018: Process modelling based on event logs.W: MAPE 2018 : XV international conference Multidisciplinary Aspects of Production Engineering, Zawiercie, Poland, Vol. 1 iss. 1. Wydawnictwo PANOVA, pp. 385-392
  23. Brzychczy E., Napieraj A., Sukiennik M., 2018: Modelling of processes with use of process mining techniques. Zeszyty Naukowe Politechniki Śląskiej. Organizacja i Zarządzanie, vol. 116, no. 1995, s. 23-36
  24. Brzychczy E., Trzcionkowska A., 2017: New possibilities for process analysis in an underground mine. Zeszyty Naukowe Politechniki Śląskiej. Organizacja i Zarządzanie z. 111: Management in mining production, economic, social and technical perspectives and experiences, s. 13-25
  25. Brzychczy, E., Kęsek, M., Napieraj, A., Magda R., 2017: An expert system for underground coal mine planning. Gospodarka Surowcami Mineralnymi, 33(2), pp. 113-127
  26. Brzychczy E., Napieraj A., Sukiennik M., 2017: Evolutionary optimisation of coal production in underground mines. Zeszyty Naukowe Politechniki Śląskiej, nr 1972. Organizacja i Zarządzanie z. 100, s. 61-76
  27. Brzychczy E., 2016: Planning of mining operations in an underground coal mine. W: Underground Mining. 24th World Mining Congress Proceedings, e-book, Instituto Brasileiro de Mineraçao IBRAM, 1ed. - Rio de Janeiro
  28. Brzychczy E., Napieraj A., Sukiennik M., 2015: Modeling and optimization of coal output in underground mine with OPTiCoalMine calculation service. W: KU KDM 2015 : eighth ACC Cyfronet AGH users' conference : proceedings / eds. K. Wiatr, J. Kitowski, M. Bubak. Kraków : Academic Computer Centre Cyfronet AGH, 2015
  29. Napieraj A., Brzychczy E., Kęsek M., Sukiennik M., 2014: Modeling of the shift output in the longwall excavation. W: Theory and technique of coal mining and disaster prevention in deep mines : proceedings of international mining conference 2014. Anhui University of Science and Technology, AGH University of Science and Technology, National Natural Science Foundation of China
  30. Brzychczy E., 2014: A new solution supporting the designing process of mining operations in underground coal mines. W: Mine Planning and Equipment Selection, Dresden, Germany, 14th-19th October 2013, Vol. 1, eds. Carsten Drebenstedt, Raj Singhal. Springer
  31. Brzychczy E., Lipiński P., Zimroz R., Filipiak P., 2014: Artificial Immune Systems for data classification in planetary gearboxes condition monitoring. W: Advances in Condition Monitoring of Machinery in Non-stationary Operations : CMMNO 2013. eds. Giorgio Dalpiaz, [et al.]. (Lecture Notes in Mechanical Engineering) Springer-Verlag
  32. Brzychczy E., 2014: A modern tool for modelling and optimisation of production in underground coal mine. W: eScience on distributed computing infrastructure : achievements of PLGrid Plus domain-specific services and tools. eds. Marian Bubak, Jacek Kitowski, Kazimierz Wiatr. Springer International Publishing
  33. Brzychczy E., Kęsek M., Napieraj A., Sukiennik M., 2014: The use of fuzzy systems in the designing of mining process in hard coal mines. Archives of Mining Sciences, vol. 59 no. 3 
  34. Brzychczy E., Lipiński P., 2013: Knowledge-based modeling and multi-objective optimization of production in underground coal mines.AGH Journal of Mining and Geoengineering, vol. 37 no. 1
  35. Brzychczy E., 2013: The intelligent computer-aided support in designing mining operations at underground hard coal mines. W: 23rd World Mining Congress, August 11-15 2013, Montreal/Canadian Institute of Mining, Metallurgy and Petroleum
  36. Brzychczy E., 2012: Modelling uncertainty in an advisory system for mining works planning in hard coal mines. AGH Journal of Mining and Geoengineering, vol.36, no.3
  37. Brzychczy E., 2011: The planning optimization system for underground hard coal mines. Archives of Mining Sciences, vol. 56 no. 2
  38. Brzychczy E., 2011: Artificial immune systems in selected mining applications. [w] IT Tools in Management and Education. Selected Problems. Ed.L.Kiełtyka. Częstochowa University of Technology. Seria Monographs. No 213., The Publishing Office of Czestochowa University of Technology, Częstochowa
  39. Brzychczy E., Tajduś K., 2011: Designing a knowledge base for an advisory system supporting mining works planning in hard coal mines. Advanced Information Technologies for Management - AITM 2011. Intelligent Technologies and Applications. J. Korczak, H. Dudycz, M. Dyczkowski, eds. Research Papers of Wroclaw University of Economics no. 206, Wroclaw
  40. Brzychczy E., Magda R., Franik T., Kęsek M., Woźny T., Napieraj A., 2011: An expert system for supporting mine production planning in multi-plant mining enterprises. 22nd World Mining Congress. red. S. Eskikaya. Volume II.

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