Nada Lavrač

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Nada Lavrač (born July 7, 1953 in Ljubljana , Slovenia ) is a Slovenian scientist who mainly deals with artificial intelligence .

Studies and academic work

Lavrač obtained her Bachelor of Science degree in Technical Mathematics in 1978 and her Master of Science degree in Computer Science from the University of Ljubljana in 1984 , where she was a teaching assistant at the Faculty of Electrical Engineering and Pharmacy from 1975 to 1977 . She received her doctorate in 1990 in the Faculty of Technical Sciences at the University of Maribor . She was a visiting professor at the University of Klagenfurt (1987-2002) and visiting professor at the University of Bristol (1997-2002). She has been a professor at the University of Nova Gorica since 2003 , and since 2004 professor at the Jožef Stefan International Postgraduate School (IPS) in Ljubljana, and from 2004 she was deputy head of various courses. Between 1987 and 2007, she took individual short graduate and postgraduate courses at various international universities, such as Stockholm University, Linköping University , Universidade de São Paulo in Sao Carlos, Aarhus University, Turin University and Leiden University .

Research and teaching assignments also took her abroad, where she stayed for a few months at a time, such as at the University of Illinois in Urbana-Champaign (1985), University of Klagenfurt (several times between 1987 and 2002), George Mason University , Fairfax , Virginia (1988), Universidade de São Paulo in São Carlos (1992), Katholieke Universiteit Leuven (1991, 1992 and 1994), Bristol University (between 1998 and 2002 for a total of 6 months), Universidade Nova de Lisboa (2004 and 2005), University Leiden (2007) and Aalto University , Helsinki (2013).

Research areas in computer science

  • Basic research: Artificial intelligence, machine learning, data mining and text mining, relational data mining and inductive logic programming, propositionalization approaches for relational data mining, combination of data mining and decision support, sentiment analysis, computational creativity
  • Applied research: data mining applications in medicine and bioinformatics, media analysis, knowledge management in virtual companies, support in decision-making in GMOs and analysis of social networks

Activity in science and research

  • 1978–1993: research assistant and postdoctoral fellow at JSI
  • 1993–1999: Coordinator of international JSI research projects
  • 1999–2003: Head of the Intelligent Data Analysis and Computational Linguistics Research Group at the JSI Department for Intelligent Systems
  • since 2002: Scientific adviser at the Jožef Stefan Institute (JSI)
  • since 2004: Head of the Knowledge Technologies department
  • since 1992: national principal researcher and coordinator in numerous European R&D projects
  • Principal researcher of the national research programs: 2000–2003 PI of the national research program “Intelligent Data Analysis, Computational Logic and Linguistics” and 2004–2013 PI of the national research program Knowledge Technologies

Memberships

  • 1996–98 Vice-President of the European Coordination Committee for Artificial Intelligence (ECCAI) and representative of the Slovenian AI Society (SLAIS)
  • since 1999 member of the Society Board for Artificial Intelligence in Medicine (AIME)
  • 2000 initiator and co-founder of the Center for Knowledge Transfer in Information Technologies at JSI
  • since 2000 chairwoman of the data mining department of the Slovenian Statistical Society
  • since 2000 regularly as an evaluator of proposals for EU research projects
  • Founding member of the Board of International Machine Learning Society (IMLS) since 2001
  • since 2003 reviewer for various EU projects
  • 2004 initiator of the MSc and PhD programs for new media and e-science and co-founder of the International Postgraduate School Jožef Stefan, Ljubljana
  • 2008 Member of the Panel of Independent Experts for the Ex-Post Evaluation of 6RP R&D Activities of the European Joint Research Center (JRC)
  • 2009–2010 Vice President of the JSI Research Council (member since 1995)
  • Member of the editorial board of numerous scientific journals

Awards

  • 1986 National Prize for Research Competence (Boris Kidrič Fund Award) for research in knowledge synthesis and qualitative modeling (KARDIO system for ECG diagnosis of cardiac arrhythmias)
  • 1998 Ambassador of Science of the Republic of Slovenia for research and contribution to the international recognition of Slovenian science
  • ECCAI Fellow Award 2007 for research in the field of artificial intelligence in Europe
  • National Prize 2013 (Zois Acknowledgment Prize) for research contributions in the field of intelligent data analysis

Scientific successes (selection)

  • Propositional machine learning: improved noise handling, noise filtering and instance selection, filtering of irrelevant literals, consensus decision tree structure, development and analysis of rule heuristics
  • Data Mining: Improved learning of association rules for classification (Apriori-C), confirmation rules, subgroup recognition (SD, CN2-SD, Apriori-SD), contrast set mining (CSM-SD), closed sets for marked data (RelSets), developed a unified framework for subgroup detection, emerging patterns, and contrast set mining
  • Inductive Logic Programming and Relational Data Mining: Improved Literal Reduction, Noise Suppression, Constructive Induction, Propositionalization Techniques (LINUS and DINUS), and Relational Subgroup Identification (RSD).
  • Semantic Data Mining: Learning with ontologies as background knowledge (SEGS, SDM-SEGS and SDM-Aleph)
  • Data mining applications in medicine and healthcare: early detection of rheumatic diseases, coronary artery disease, sports injuries, epileptic spasms, prognosis after severe head injuries, movement prediction of the lower extremities and modeling of the Slovenian public health system
  • Data mining applications in bioinformatics: Methods and applications for the analysis of microarray data: Detection of irrelevant genes, detection of gene groups characteristic of various types of cancer, use of ontologies (GO, ENTREZ, KEGG) to find differentially expressed gene groups, improved GSEA -Method using ontologies
  • Applications for knowledge management, virtual companies, data mining and decision support, GMO tracking and analysis of social networks

Publications

  • with I. Bratko and I. Mozetič: KARDIO: a study in deep and qualitative knowledge for expert systems. Foreword by Donald Michie, MIT Press, Cambridge / Massachusetts 1989, ISBN 0-262-02273-7 .
  • with S. Džeroski: Inductive logic programming, techniques and applications. Ellis Horwood, 1994
  • Edited with E. Keravnou, B. Zupan: Intelligent data analysis in medicine and pharmacology. Kluwer, 1997
  • Ed., With S. Džeroski: Relational Data Mining. Springer, 2001
  • Edited with D. Mladenić, M. Bohanec, S. Moyle: Data Mining and Decision Support , Integration and Cooperation. Kluwer, 2003
  • with J. Fuernkranz and D. Gamberger: Basics of Regellernens, Springer, 2012
  • Editor of Special Issues magazine

Web links

Individual evidence

  1. ^ A b Department of Knowledge Technologies. Retrieved March 10, 2019 .
personal data
SURNAME Lavrač, Nada
BRIEF DESCRIPTION Slovenian scientist
DATE OF BIRTH July 7, 1953
PLACE OF BIRTH Ljubljana , Slovenia