Nada Lavrač

Research interests

• machine learning, data mining, inductive logic programming
• applications in medicine, public health, bioinformatics and management of virtual enterprises

Selected activities

• Head of the Department of Knowledge Technologies, Jozef Stefan Institute (JSI), and vice-president of JSI Research Council
• Principal researcher and coordinator of national projects Knowledge Technologies (2009-2014, € 2.6 Million), Semantic Service-Oriented Knowledge Discovery (2009-2012), Development and applications of new semantic data mining methods in life sciences (2013-2016) and JSI principal researcher in EU projects BISON (2008-2011), Healthreats (2007-2010), MUSE (2012-2015) and PROSECCO (2013-2016).
• Member of editorial boards
  • Artificial Intelligence in Medicine
  • AI Communications
  • New Generation Computing
  • Applied Artificial Intelligence
  • Machine Learning Journal
  • Data Mining and Knowledge Discovery

Teaching

• University of Nova Gorica, Slovenia (course Knowledge Discovery in Databases, and course Knowledge Management, both for MSc students in Engineering and Management)
• University of Ljubljana, Slovenia (course Knowledge Discovery in Databases, for MSc students in Statistics)
• Jozef Stefan International Postgraduate School, Slovenia (course Data Mining and Knowledge Discovery for MSc students, course Selected Techniques for Tabular and Relational Data Mining in Module Knowledge Technologies for PhD students, and course Knowledge Management for MSc and PhD students in New Media and e-Science)

Books

• Foundations of Rule Learning, Springer, 2012 (author, with J. Fuernkranz, D. Gamberger, 334 pages)
• Data Mining and Decision Support: Integration and Collaboration, Kluwer, 2003 (editor, with D. Mladenić, M. Bohanec, S. Moyle, 275 pages)
• Relational Data Mining, Springer, 2001 (editor, with S. Džeroski, 398 pages) [link]
• Intelligent Data Analysis in Medicine and Pharmacology, Kluwer, 1997 (editor, with E. Keravnou, B. Zupan, 310 pages) [link]
• Inductive Logic Programming: Techniques and Applications, Ellis Horwood, 1994 (author, with S. Džeroski, 293 pages) [downloadable]
• Kardio: A Study in Deep and Qualitative Knowledge for Expert Systems, The MIT Press, 1989 (author, with I. Bratko and I. Mozetič, 260 pages)
• Prolog through Examples: A Practical Programming Guide, Sigma Press, 1988 (author, with I. Kononenko, 197 pages)

Impact

• WoS Citations = 1804 (list of citations)
• Hirsch index h = 18 (Apr. 2013)

Selected publications (Google Scholar | COBISS)

Short CV

Prof. Nada Lavrac is Head of the Department of Knowledge Technologies (since 2004), was Head of Intelligent Data Analysis and Computational Linguistics research group (in 1999-2003) at the Department of Intelligent Systems, and researcher of Jožef Stefan Institute, Ljubljana, Slovenia (since 1978). She is Full Professor at University of Nova Gorica and Deputy Head of Information and Communication Technologies Program at Jozef Stefan International Postgraduate School. She was visiting professor at Bristol University, UK (1997-2002, teaching parts of courses Introduction to Machine Learning and Learning from pguctured Data) and at Klagenfurt University, Aupgia (1987-2002, teaching courses on Knowledge Acquisition, Data Mining and Decision Support).

She received a BSc in Technical Mathematics and MSc in Computer Science from Ljubljana University, and a PhD in Technical Sciences from Maribor University, Slovenia. In 1984 she was in a group of researchers who were awarded a national prize for research excellence, in 1997 she was awarded the Ambassador of Science of Slovenia prize, and in 2007 she has been elected ECCAI Fellow.

Her main research interest is machine learning and data mining, in particular inductive logic programming and intelligent data analysis in medicine. She is coauthor of KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems, The MIT Press 1989, and Inductive Logic Programming: Techniques and Applications, Ellis Horwood 1994, and co-editor of Relational Data Mining, Springer 2001, Intelligent Data Analysis in Medicine and Pharmacology, Kluwer 1997. She was founder the Solomon European Network and acted as co-coordinator of the EU 5th Framework project Data Mining and Decision Support for Business Competitiveness: A European Virtual Enterprise (Sol-Eu-Net, IST-1999-11495, 2000-2003). She was coordinator of the European Scientific Network in Inductive Logic Programming ILPNET (1993-1996). She is member of editorial boards of Artificial Intelligence in Medicine AI Communications New Generation Computing Applied AI Machine Learning Journal and Data Mining and Knowledge Discovery. She was vice-president of ECCAI (1996-98), and is member of the International Machine Learning Society board (IMLS, since 2001), and Artificial Intelligence in Medicine board (AIME, since 1999).