Elpida Keravnou-Papailiou received the B.Tech. degree in Computer Science and the Ph.D. degree in Cybernetics from Brunel University, West London, in 1982 and 1985, respectively. She is the first Rector of the Cyprus University of Technology, assuming her duties on January 4th 2012. She started her academic career from the Department of Computer Science, University College London as a Lecturer in 1985–1992, a Senior Lecturer 1991–1992, and the Director of the M.Sc. course in computer science. In 1992, she took up an academic position in the Department of Computer Science, University of Cyprus as an Associate Professor from 1992 to 1996, and a Professor since 1996. At the University of Cyprus, she served as a Vice-Rector for Academic Affairs (2002–2006), as the Dean of the School of Pure and Applied Sciences (1999–2002), and as the first Chairperson of the Department of Computer Science (1994–1998). She also served as the President of the Governing Board of the Cyprus University of Technology (2009–2010). She is currently the Vice-Chair of the Evaluation Committee for Private Universities in Cyprus and a Member of the Governing Board of the European Institute of Innovation and Technology and its Executive Committee (www.eit.europa.eu). She has carried out research in the areas of knowledge engineering, expert systems, deep knowledge models, diagnostic reasoning, temporal reasoning, artificial intelligence in medicine, intelligent data analysis in medicine and hybrid decision support systems. She is an Associate Editor of the scientific journal Artificial Intelligence in Medicine (Elsevier) since the launch of the journal in 1989. During the period 2003–2005, she served as the Chairperson of the Artificial Intelligence in Medicine Europe Board.
JBHI, Featured ArticlesDBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal Abstractions for Coronary Heart Disease Prognosis
Temporal abstraction (TA) and dynamic Bayesian networks (DBNs) became two topics of much interest and research in clinical systems. TA is a knowledge-based process that abstracts raw temporal data into higher level interval-based concepts. TA techniques were utilized in various... Read more
Posted on 10 MAY 2016