ABOUT US

We are part of the Faculty of Mining and Geoengineering at AGH University of Science and Technology, Cracow.
Our group focuses on extract knowledge from data with use of novel algorithms and knowledge-based optimisation of business processes in various branches of industry.
We can help you with:

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Members

Edyta Brzychczy

DSc, PhD, Eng.


Data and process mining
Process modelling and optimisation
Expert systems

Marek Kęsek

DSc, PhD, Eng.


Data mining
Multidimensional data analysis
R, C, VBA, SQL, PHP, JS, LabView
Decision Support System

Aneta Napieraj

PhD, Eng.


Process modelling
Simulation
Systems Reliability (FMEA)
Statistical analysis

Marta Sukiennik

PhD, Eng.


Process modelling
Interactive dashboard designing
Systems Reliability (FMEA)
Process mapping

Agnieszka Trzcionkowska

M.Sc., Eng.


Data mining
R programming
Process modelling


Papers

Brzychczy E., 2011: The planning optimization system for underground hard coal mines. Archives of Mining Sciences, vol. 56 no. 2
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
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.
Brzychczy E., 2014: A new solution supporting the designing process of mining operations in underground coal mines. Mine Planning and Equipment Selection : proceedings of the 22nd MPES conference : Dresden, Germany, 14th-19th October 2013, Vol. 1, eds. Carsten Drebenstedt, Raj Singhal. Springer
Brzychczy E., Lipiński P., Zimroz R., Filipiak P., 2014: Artificial Immune Systems for data classification in planetary gearboxes condition monitoring. Advances in Condition Monitoring of Machinery in Non-stationary Operations : proceedings of CMMNO 2013. eds. Giorgio Dalpiaz, [et al.]. (Lecture Notes in Mechanical Engineering) Springer-Verlag
Brzychczy E., 2014: A modern tool for modelling and optimisation of production in underground coal mine. Science on distributed computing infrastructure: achievements of PLGrid Plus domain-specific services and tools. eds. Marian Bubak, Jacek Kitowski, Kazimierz Wiatr. Springer International Publishing
Napieraj A., Brzychczy E., Kęsek M., Sukiennik M., 2014: Modeling of the shift output in the longwall excavation. Theory and technique of coal mining and disaster prevention in deep mines : proceedings of international mining conference.
Snopkowski R., Napieraj A., 2012: Method of the production cycle duration time modeling within hard coal longwall faces. Archives of Mining Sciences, vol. 57 no. 1
Snopkowski R., Sukiennik M., 2013: Longwall face crew selection with respect to stochastic character of the production process. Pt. 2, Calculation example, Archives of Mining Sciences, vol. 58 no. 1
Sukiennik M., 2013: Analysis of the possibility of ICT technology application in hard coal mines. Przegląd Górniczy t. 69 nr 4/2013, (in polish)
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
Kęsek M., Brzychczy E., Napieraj A., Sukiennik M., 2014: Modeling of shifting output in wall heading with the use of Ordered Fuzzy Numbers (OFN). Przegląd Górniczy 2014 t. 70 nr 9 (in polish)
Brzychczy E., Napieraj A., Sukiennik M., 2015: Modelling and optimization of mining production in coal mines with use of the OPTiCoalMine calculation service. Przegląd Górniczy 2015 t. 71 nr 8, (in polish)
Sukiennik M., Napieraj A., 2015: Evaluation of the risk in production process within hard coal longwall faces. Zeszyty Naukowe Uniwersytet SzczeciĹski nr 855. 2015 nr 74 t. 1 (in polish)
Kęsek M., 2010: Language R in mining knowledge discovery., Przegląd Górniczy, no 9 (in polish)
Kęsek M,. 2011: Possibilities of R Language integration in the integrated management for coal mining enterprises. Printing House of PTZP, (in polish)
Kęsek M., 2012: Selected types of representation of knowledge gained in mining. Przegląd Górniczy, no 9, (in polish)
Kęsek M., 2013: Application of chosen computer-aided methods of data exploration in production management system used in hard coal. The AGH University of Science and Technology Press, vol. 289, (in polish)
Kęsek M., 2013: Application of decision trees to support the selection of equipment during mining works planning in hard coal mines. Przegląd Górniczy, no 9, (in polish)
Kęsek M., 2014: The use of data exploration methods in production management in a hard coal mine. Wiadomości Górnicze, no 4, (in polish)
Kęsek M., Zagórska J., 2015: The engine load analysis of extracting-loading head as an element of evaluating its usage correctness. KKMU Symposia and Conferences; no. 10 (in polish)

Projects



Integrated system for production management in the hard coal mining.
Research project from Ministry of Science and Higher Education, 2006-2009

Computer system for management of the means of production in the hard coal mining sector.
Research project from Ministry of Science and Higher Education, 2007-2009

Expert system for mining works planning in hard coal mines.
Research project from Ministry of Science and Higher Education, 2010-2013

An analysis of the possibility of improving the economic and financial effectiveness of open pit mines extracting rocky raw materials for road construction.
Research project from Ministry of Science and Higher Education, 2007-2010

Domain-oriented services and resources of Polish Infrastructure for Supporting Computational Science in the European Research Space - PLGrid Plus.
Task 2. Calculation services for Energy Sector, OPTiCoalMine.

2011-2015 (POIG.02.03.00-00-096/10)

CONTACT US

Data & Process Mining Group
University of Science and Technology AGH
Faculty of Mining and Geoengineering
Department of Economics and Management in Industry
Al. Mickiewicza 30
30-059 Cracow
Pav. A-1, room 316 a, tel.: +48 12 617 20 98
mail: bigdata@agh.edu.pl