IDA - Intelligent Data Analysis Research Group

Group Members

Faculty

Filip Železný

[photo]Filip Železný received his Ph.D. in Artificial Intelligence and Bioinformatics from the Czech Technical University in Prague (CTU) in 2003. In 2003-2004 he was a post-doctoral researcher at the University of Wisconsin in Madison and subsequently a visiting professor at the State University of New York in Binghamton. Currently, he is associate professor and head of the Intelligent Data Analysis Research Group at CTU. His main research interests are machine learning and data mining, and their applications in bioinformatics. Filip was the local coordinator of the European research project SEVENPRO, served on program committees of conferences such as the International Conference on Machine Learning, and chaired the 18th International Conference on Inductive Logic Programming. Author of tens of research publications, project evaluator for the European Commission, member of the editorial boards of the Machine Learning Journal and the Journal on Data Semantics.

Position: 
faculty, head of the lab
E-mail: 
zelezny[AT_SIGN]fel[DOT]cvut[DOT]cz
Phone: 
224 35 7661
Room: 
K 122
Jiří Kléma

[photo]Jiří Kléma received his Ph.D. in Artificial Intelligence and Biocybernetics from the Czech Technical University in Prague (CTU) in 2002. In 2005-2006 he carried out post-doctoral training at the University of Caen, France. Currently, he is an assistant professor at CTU. His main research interest is data mining and its applications in industry, medicine and bioinformatics. He focuses namely on knowledge discovery and learning in domains with heterogeneous and complex background knowledge. Jiří is a co-author of 15 journal publications and book chapters, a reviewer for several international journals and a member of the Presidium of The Czech Society for Cybernetics and Informatics.

Position: 
faculty
E-mail: 
klema[AT_SIGN]labe[DOT]felk[DOT]cvut[DOT]cz
Phone: 
224 35 7392
Room: 
K 121

Graduate students

Matěj Holec

[photo]Matěj Holec is a Ph.D. student at the Department of Cybernetics, Faculty of Electrical Engineering of the Czech Technical University in Prague (CTU). He graduated in Technical Cybernetics from CTU in 2007. His research intersts is cross-genome expression data modelling.

Position: 
Ph.D. student
E-mail: 
holecm1[AT_SIGN]fel[DOT]cvut[DOT]cz
Room: 
K 121
Karel Jalovec

[photo]Karel Jalovec is a Ph.D. student at the Department of Computer Science and Engineering, Faculty of Electrical Engineering of the Czech Technical University in Prague (CTU). His current research interest is development of efficient machine learning algorithms for Next Generation Sequencing (NGS) data analysis.

Position: 
Ph.D. Student
E-mail: 
jalovec.karel[AT_SIGN]gmail[DOT]com
Ondřej Kuželka

[photo]Ondřej Kuželka is a Ph.D. student at the Department of Cybernetics, Faculty of Electrical Engineering of the Czech Technical University in Prague (CTU). His main current research interest is development of efficient algorithms for relational learning.

Position: 
Ph.D. student
E-mail: 
kuzelo1[AT_SIGN]fel[DOT]cvut[DOT]cz
Andrea Szabóová

[photo]Andrea Szabóová is a Ph.D. student at the Department of Cybernetics, Faculty of Electrical Engineering of the Czech Technical University in Prague (CTU). She received her master degree from Technical University in Kosice in 2006. Her research interest focuses on Predictive Modelling of Protein-DNA Interaction through Relational Learning.

Position: 
Ph.D. Student
E-mail: 
szaboand[AT_SIGN]fel[DOT]cvut[DOT]cz
Room: 
K 123
Radomír Černoch

[photo]Radomir Cernoch is a Ph.D. student at the Department of Cybernetics, Faculty of Electrical engineering. He holds a bachelor degree in Cybernetics and Measurement from the Czech Technical University and afterwards he received a MSc. degree in Artificial Intelligence at the University of Edinburgh. Currently his research interest focuses on improving deduction and reasoning techniques within inductive logic programming.

Position: 
Ph.D. Student
E-mail: 
radomir.cernoch[AT_SIGN]gmail[DOT]com
Gustav Šourek

[photo]Gustav Sourek is a Ph.D. student at the Department of Computer Science, Faculty of Electrical Engineering of the Czech Technical University in Prague (CTU). His current research interest is data mining in social networks and network structures.

Position: 
Ph.D. Student
E-mail: 
souregus[AT_SIGN]fel[DOT]cvut[DOT]cz

Undergraduate students

Andrea Fuksová
Position: 
M.Sc. student
E-mail: 
fuksoand[AT_SIGN]fel[DOT]cvut[DOT]cz

Alumni

Petr Buryan

[photo]Petr was a Ph.D. student at IDA until 2010. He developed several algorithms for scalable graph mining and relational learning using techniques of evolutionary computation, including grammatical evolution.

Jiří Bělohradský

[photo]

E-mail: 
belohj2[AT_SIGN]fel[DOT]cvut[DOT]cz
Room: 
E-225B
Filip Karel

[photo]Filip Karel developed an efficient system for quantitative association rule discovery. Within the latter topic, he received his Ph.D. in 2009. Filip also established the use of the e-learning system Moodle for courses instructed by IDA; a system later widely adopted throughout the department.

Miloš Krejník

[photo]Miloš Krejník holds master degree with honours in Cybernetics and Measurement from the Czech Technical University in Prague (CTU). In 2007 he was a researcher in the Agent Technology Group (now Agent Technology Center) at CTU. Until 2011, he was a Ph.D. student in Artificial Intelligence and Biocybernetics at the Intelligent Data Analysis Research Group at CTU. His previous research was focused on classification of genomic data. Now, his main research interest is prediction of financial time series.

E-mail: 
krejnm1[AT_SIGN]fel[DOT]cvut[DOT]cz
Room: 
external
Jiří Kubalík

[photo]

E-mail: 
kubalik[AT_SIGN]labe[DOT]felk[DOT]cvut[DOT]cz
Phone: 
224 35 7391
Room: 
K 123
Petr Pošík

[photo]

E-mail: 
posik[AT_SIGN]labe[DOT]felk[DOT]cvut[DOT]cz
Phone: 
224 357 228
Room: 
K 123
Přemysl Vítovec

[photo]Přemysl Vítovec graduated in Cybernertics and Measurement - Artificial Intelligence from the Czech Technical University, Faculty of Electrical Engineering in 2010, and in Finnish Philology from the Charles University, Faculty of Arts in 2008. His research interest is biomedical text mining. Přemysl was a Ph.D. student at IDA until 2011.

E-mail: 
vitovpre[AT_SIGN]fel[DOT]cvut[DOT]cz
Room: 
K 121
Monika Žáková

[photo]Monika Žáková developed a system for automatic construction of data mining workflows using ontology-based planning. She also contributed to the fields of semi-automatic creation of semantic annotations and machine learning with ontological taxonomies.

Creative Commons License  Content on this site is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Czech Republic License.