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Curriculum vitae

Name, first names, scientific degrees

Lubomír Popelínský, PhD., born 1956 in Třebíč, Czechoslovakia, married.

Department/Faculty/University

Faculty of Informatics, Masaryk University
Botanická 68a
602 00 Brno
Czech Republika

Function, current position

Associate professor, Department of Machine Learning and Data Processing
Chair of Knowledge Discovery Laboratory

Education and academic qualifications

2004: Associate professor, habilitation thesis "Preprocessing in Data Mining"
2001: PhD., thesis "To practical inductive logic programming", FEL CVUT Praha;
1980: M.Sc., diploma thesis "Finite semantics for testing", Faculty of Science, UJEP Brno

Professional experience

2006 - 2011: vice-dean for education, Faculty of Informatics MU Brno
2005 - 2007: teaching at Faculty of Science MU Brno
2004 - 2005: teaching at Faculty of Science, Palacky University Olomouc
2004 - now: Associate Professor FI MU
1992 - 2004: Assistant Professor FI MU
1987 - 1992: Programmer, Faculty of Science UJEP Brno
1983 - 1987: Research Programmer, Traumatology Institute Brno
1981 - 1983: Research Assistant, Oncology Institute (VÚKEO) Brno

Teaching activities

Machine learning. Data mining. Text mining. Computational logic. Introduction to logic.

Research activities

Machine learning. Data mining, Text mining. Anomaly analysis
EU: IST-2001-33086 KDNet (2002-2005). IST-2000-28345 EGERIS (2002-2003). METAL(1999-2001). ILPnet2 (1999-2001). ILP2 (1998-2000).
ČR: MŠMT 0021622418 Dynamická geovizualizace v krizovém managementu (2005-2011). GAČR 203/99/0044 Využití nové analytické instrumentace ve výzkumu analytických a diagnostických postupů (1998-2001)

Professional stays abroad

2019 DCC F. Sciencias, UP Porto, 3 m.
2001 - 2: Albert-Ludwigs Universitaet Freiburg, 5 m.
2000: LIACC UP Porto, 2 m.
1999: LIACC UP Porto, 2 m.
1995: L.R.I. Universite Paris Sud, 3 m.
1994: LIACC Universidade do Porto, 2 m.
1992: L.R.I. Universite Paris Sud, 1 m.
1992: INSA Lyon, 1 m.
1992: LIACC Universidade do Porto, 3 m.

Other academic activities, research projects, grants

2007 - now: member of the editorial board of MU
2006 - 2011: vice-dean for education at Faculty of Informatics MU
2003 - 2019: member of Czech Universities Council (Rada vysokých škol)
1990 - 1995: member of Academic Senat, Faculty of Science MU Brno

Most significant professional accomplishments

from 2016 : Programm committee member of IDA
from 2104 : Programm committee member of IDEAS
2009, 2017, 2020 : Programm committee member of ISMIS
2007 : program chair of DATAKON
2007 : Advanced Learning Techniques for NLP, tutorial, 8th Summer School of the European Masters in Language and Speech
2007 : člen PV workshopu Data Mining for Business, PAKDD Nanjing Čína
2006 : Geographic Data Mining, tutorial, 2nd International Summer School on Computational Biology (IBA MU Brno)
2006 - 2007 : Program committee member of DaWaK
2006 : Program committee member of ECML/PKDD workshop on Practical Data Mining: Applications, Experiences and Challenges
2005 : Program committee member of 4th workshop LLL (Learning Language in Logic), Bonn
2005 : Program committee member of the workshop on Data Mining for Business, Porto Portugal
2004 - 2005 : reviewer, PKDD
2004 : Program chair of Znalosti
2003 : Program chair of DATAKON and a stearing committee member
2002 - : Stearing commitee member of Znalosti Conference
2001 : program chair of 3rd Workshop on Learning Language in Logic LLL 2001, Strasbourg
2001 - : program commitee member of Znalosti conference
1995 - : program commitee member of czech-slovak DATAKON conference (former DATASEM)

Major publications

HETLEROVIĆ, Dušan, Lubomír POPELÍNSKÝ, P. BRAZDIL, C. SOARES and F. FREAITAS. On Usefulness of Outlier Elimination in Classification Tasks. Online. In Tassadit Bouadi, Élisa Fromont, Eyke Hüllermeier. International Symposium on Intelligent Data Analysis 2022. Rennes: Springer, 2022, p. 143-156. ISBN 978-3-031-01332-4. Available from: https://dx.doi.org/10.1007/978-3-031-01333-1_12. info
SCHWARZEROVÁ, Jana, Adam BAJGER, I. PIERDOU, Lubomír POPELÍNSKÝ, Karel SEDLÁŘ and W. WECKWERTH. An Innovative Perspective on Metabolomics Data Analysis in Biomedical Research Using Concept Drift Detection. Online. In Yufei Huang and Lukasz A. Kurgan and Feng Luo and Xiaohua Hu and Yidong Chen and Edward R. Dougherty and Andrzej Kloczkowski and Yaohang Li. Proceedings of BIBM 2021. Houston, TX, USA: IEEE, 2021, p. 3075-3082. ISBN 978-1-6654-0126-5. Available from: https://dx.doi.org/10.1109/BIBM52615.2021.9669418. info
VACULÍK, Karel and Lubomír POPELÍNSKÝ. A genetic algorithm for discriminative graph pattern mining. Online. In Bipin C. Desai and Dimosthenis Anagnostopoulos and Yannis Manolopoulos and Mara Nikolaidou. Proceedings of the 23rd International Database Applications & Engineering Symposium, IDEAS 2019, Athens, Greece. New York: ACM, 2019, p. 461-462. ISBN 978-1-4503-6249-8. Available from: https://dx.doi.org/10.1145/3331076.3331113. info
VACULÍK, Karel and Lubomír POPELÍNSKÝ. DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs. In Boström, H., Knobbe, A., Soares, C., Papapetrou, P. Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016. Neuveden: LNCS 9897, Springer, 2016, p. 308-319. ISBN 978-3-319-46348-3. Available from: https://dx.doi.org/10.1007/978-3-319-46349-0_27. info
NEZVALOVÁ, Leona, Lubomír POPELÍNSKÝ, Luis TORGO and Karel VACULÍK. Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection?. Online. In Elisa Fromont, Tijl De Bie, Matthijs van Leeuwen. Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015. Neuveden: Springer, 2015, p. 193-204. ISBN 978-3-319-24464-8. Available from: https://dx.doi.org/10.1007/978-3-319-24465-5_17. info
BYDŽOVSKÁ, Hana and Lubomír POPELÍNSKÝ. The Influence of Social Data on Student Success Prediction. In Ana Almeida, Jorge Bernardino, Elsa Ferreira Gomes. Proceedings of the 18th International Database Engineering & Applications Symposium - IDEAS 2014. Portugal: BytePress, 2014, p. 374-375. ISBN 978-1-4503-2627-8. info
NAVRÁTIL, Jaromír and Lubomír POPELÍNSKÝ. Rapid prototyping of a web categorization tool. Online. In IDEAS '14 Proceedings of the 18th International Database Engineering & Applications Symposium. NY, USA: ACM New York, 2014, p. 294-297. ISBN 978-1-4503-2627-8. Available from: https://dx.doi.org/10.1145/2628194.2628216. URL info
GÉRYK, Jan and Lubomír POPELÍNSKÝ. Towards Academic Analytics by Means of Motion Charts. In Christoph Rensing, Sara de Freitas, Tobias Ley, Pedro J. Muñoz-Merino (Eds.). Proceedings of the 9th European Conference on Technology Enhanced Learning (EC-TEL 2014). Graz, Austria: Springer International Publishing, 2014, p. 486-489. ISBN 978-3-319-11199-5. Available from: https://dx.doi.org/10.1007/978-3-319-11200-8_47. URL info
GÉRYK, Jan and Lubomír POPELÍNSKÝ. Analysis of Student Retention and Drop-out using Visual Analytics. Online. In John Stamper, Zachary Pardos, Manolis Mavrikis, and Bruce M. McLaren (Eds.). Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014). London, United Kingdom: International Educational Data Mining Society, 2014, p. 331-332. ISBN 978-0-9839525-4-1. info
VACULÍK, Karel, Leona NEZVALOVÁ and Lubomír POPELÍNSKÝ. Graph Mining and Outlier Detection Meet Logic Proof Tutoring. Online. In Collin F. Lynch, Tiffany Barnes. Proceedings of EDM 2014 Ws Graph-based Educational Data Mining (G-EDM). London: CEUR-WS.org, 2014, p. 43-50. ISSN 1613-0073. info
VACULÍK, Karel, Leona NEZVALOVÁ and Lubomír POPELÍNSKÝ. Educational data mining for analysis of students’ solutions. Online. In Gennady Agre, Pascal Hitzler, Adila A. Krisnadhi, Sergei O. Kuznetsov. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference, AIMSA 2014. London: Springer, 2014, p. 150-161. ISBN 978-3-319-10553-6. Available from: https://dx.doi.org/10.1007/978-3-319-10554-3_14. info
BAYER, Jaroslav, Hana BYDŽOVSKÁ, Jan GÉRYK, Tomáš OBŠÍVAČ and Lubomír POPELÍNSKÝ. Predicting drop-out from social behaviour of students. Online. In Kalina Yacef, Osmar Zaïane, Arnon Hershkovitz, Michael Yudelson and John Stamper. Proceedings of the 5th International Conference on Educational Data Mining - EDM 2012. Greece: www.educationaldatamining.org, 2012, p. 103 - 109. ISBN 978-1-74210-276-4. info
ANTLOVÁ, Klára, Lubomír POPELÍNSKÝ and Jindřich TANDLER. Long Term Growth of SME from ICT Competencies and Web Presentations. E + M Ekonomie a management. 2011, vol. 2011, No 4, p. 125-138. ISSN 1212-3609. info
POPELÍNSKÝ, Lubomír. Filtering Information from Reports on Flood. In Proceedings of Joint Symposium of ICA Working Group on Cartography in Early Warning and Crises Management (CEWaCM) and JBGIS Geo-information for Disaster Management (Gi4DM). Praha: ICA Working Group on Cartography in Early Warning and Crises Management, 2009, 7 pp. ISBN 978-80-210-4796-9. info
POPELÍNSKÝ, Lubomír, Mária BRIATKOVÁ and Zdeněk KEDAJ. DZEMUj: A Tool for Mining in e-Learning Tests. Description and Experience. In Proceedings of the 7th European Conference on eLearning ECEL. Reading, England: Academic Conferences Limited, 2008, p. 299-303, 4 pp. ISBN 978-1-906638-23-8. info
BLAŤÁK, Jan and Lubomír POPELÍNSKÝ. dRAP-Independent: A Data Distribution Algorithm for Mining First-Order Frequent Patterns. Computing and Informatics. Bratislava, 2007, vol. 26, No 3, p. 345-366. ISSN 1335-9150. info
POPELÍNSKÝ, Lubomír and Jan BLAŤÁK. Toward mining of spatiotemporal maximal frequent patterns. In Proceedings of ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD),. Porto: UP, 2005, p. 31-40. info
BLAŤÁK, Jan, Lubomír POPELÍNSKÝ and Eva MRÁKOVÁ. Fragments and Text Categorization. In The Companion Volume to the Proceedings of 42st Annual Meeting of the Association for Computational Linguistics. Barcelona (Spain): Association for Computational Linguistics, 2004, p. 226-229. ISBN 1-932432-33-7. info
BLAŤÁK, Jan and Lubomír POPELÍNSKÝ. Mining first-order maximal frequent patterns. Neural Network World. Praha: UIVT AV ČR, 2004, vol. 14, No 5, p. 381-390. ISSN 1210-0552. info
SVOBODA, Lukáš and Lubomír POPELÍNSKÝ. Communication with www in Czech. Kybernetika : The Journal of the Czech Society for Cybernetics and Informatics. Praha: Institute of Information Theory and Auto, 2004, 40/2004, No 3, p. 349-363, 14 pp. ISSN 0023-5954. info
KŘIVÁNKOVÁ, Ludmila, Michal OČKO, Lubomír POPELÍNSKÝ and Petr BOČEK. Fast choice of separation conditions for analyses by capillary zone electrophoresis usingan information system Xemic. Electrophoresis. Wiley-VCH Verlag GmbH, 2002, vol. 23, No 19, p. 3364-3371. ISSN 0173-0835. info
POPELÍNSKÝ, Lubomír. Efficient relational learning from sparse data. In Proceedings of AIMSA'02 Conference. Varna: Springer Verlag, 2002, p. 11-20. ISBN 0302-9743. info
ŽÁČKOVÁ, Eva, Lubomír POPELÍNSKÝ and Miloslav NEPIL. Recognition and Tagging of Compound Verb Groups in Czech. In Proceedings of CoNLL-2000 and LLL-2000, Lisbon, Portugal, September 2000. New Brunswick: Association for Computational Linguistics, 2000, p. 219-225. info
FRANOVA, Marta and Lubomír POPELÍNSKÝ. Synthesis of formal specifications of predicates: Why and How? In Proc. of EMCSR'00. 2000. info
POPELÍNSKÝ, Lubomír. Knowledge Discovery in Spatial Data by Means of ILP. In Principles of Data Mining and Knowledge Discovery. 2nd European Symposium PKDD´98. Berlin: Springer Verlag, 1998, p. 185-194. LNCS 1510. ISBN 3-540-65068-7. info
POPELÍNSKÝ, Lubomír and P. FLENER. On the Use of Inductive Reasoning in Program Synthesis. In Logic Program Synthesis and Transformation. Hamburg: Springer - Verlag, 1994, p. 69-87. LNCS 883. ISBN 3-540-58792-6. info
POPELÍNSKÝ, Luboš, P. FLENER and O. STEPÁNKOVÁ. Inductive Logic Programing and Automatic Programming: Towards Three Approaches. In Proc. of 4th Int. ILP´94 workshop. Bonn: GMD Bonn, 1994, p. 351-364. ISBN 3-88457-237-7. info

2019/11/05