Nada Lavrač

Research interests

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

Selected activities

• Former head of the Department of Knowledge Technologies (2004-2020), Jozef Stefan Institute (JSI)
• Head of ICT Programme (since 2016) and former Vice-Dean (2016-2020) at Jozef Stefan International Postgraduate School, Ljubljana, Slovenia
• Principal researcher and coordinator of national projects Knowledge Technologies (2015-2021), and Basic Research Project: SDM-Open-SLO (2018-2021) and researcher in EU projects H2020 FNS-Cloud (2019-2023), and quality manager in H2020 project EMBEDDIA (2019-2022).
• Member of editorial boards
  • Artificial Intelligence in Medicine (former member)
  • 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 PhD students in Statistics)
• Jozef Stefan International Postgraduate School, Slovenia (course Data and Text Mining (link to school year 2020/2021) for MSc students of the ICT Programme, and course Data Mining and Knowledge Discovery (link to school year 2020/2021) for PhD students of the ICT Programme)

Books

• Representation Learning: Propositionalization and Embeddings, Springer, 2021 (author, with V. Podpečan and M. Robnik-Šikonja, 163 pages)
• 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)
• Intelligent Data Analysis in Medicine and Pharmacology, Kluwer, 1997 (editor, with E. Keravnou, B. Zupan, 310 pages)
• Inductive Logic Programming: Techniques and Applications, Ellis Horwood, 1994 (author, with S. Džeroski, 293 pages)
• 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 = 4622 (list of citations - November 2021)
• Hirsch index h = 31

Citation indices by Google Scholar (May 2023)

• Number of citations: 16141
• h-index: 54
• i10-index: 201

Selected publications (Google Scholar | COBISS)

Short CV

Prof. Nada Lavrac is Research Councillor and former Head of the Department of Knowledge Technologies (2004-2020), 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 Head of Information and Communication Technologies Program at Jozef Stefan International Postgraduate School (since 2016). She was visiting professor at Bristol University, UK (1997-2002, teaching parts of courses Introduction to Machine Learning and Learning from structured Data) and at Klagenfurt University, Austria (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, in 2007 she has been elected ECCAI Fellow, and in 2013 she received the Zois Recognition Award for important contributions to science, research and development in the area of intelligent data analysis.

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, 2001-2005), and Artificial Intelligence in Medicine board (AIME, 1999-2015).

Longer CV