Vlahavas P. Ioannis Professor, Dean, School ofScience and Technology

Ioannis Vlahavas is the Dean of School of Science and Technology of International Hellenic University and a professor at the Department of Informatics at the Aristotle University of Thessaloniki. He received his PhD degree in Logic Programming Systems from the same University in 1988.

During the first half of 1997 he was a visiting scholar at the Department of CS at Purdue University. He specializes in logic programming, knowledge-based and AI systems and he has published over 130 papers, 9 book chapters and co-authored 6 books in these areas.

He teaches logic programming, AI, expert systems and DSS.

He has been involved in more than 20 research and development projects, leading most of them. He was the chairman of the 2nd Hellenic Conference on AI and the host of the 2nd International Summer School on AI Planning.

He is currently leading the Logic Programming and Intelligent Systems Group (LPIS Group, lpis.csd.auth.gr) (more information at www.csd.auth.gr/~vlahavas)

Selected Publications

  • Koutitas G., Tsioliaridou A., Kamilatos I and Vlahavas P. I., "Energy Efficiency Monitoring in Local Data Centers", Proc. IEEE under review (forthcoming) • Conference Paper
  • Stavropoulos A., Vrakas D., Arvanitidis A. and Vlahavas P. I., "A System for Energy Savings in an Ambient Environment", (under review) (forthcoming) • Conference Paper
  • Tzanis G., Berberidis C. and Vlahavas P. I., "StackTIS: A Stacked Generalization Approach for Effective Prediction of Translation Initiation Sites", Computers in Biology and Medicine, Elsevier, November 2011. (2011) • Journal Paper
  • Tzanis G., Berberidis C. and Vlahavas P. I., "Machine Learning and Data Mining in Bioinformatics", Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, Viviana E. Ferraggine, Jorge H. Doorn, and Laura C. Rivero (Eds.), IDEA Group Publishing, 978-1-60566-242-8, February 2009 (2009) • Book Chapter
  • Berberidis C. and Vlahavas P. I., "Detection And Prediction Of Rare Events In Transaction Databases", International Journal of Artificial Intelligence Tools (IJAIT), World Scientific, 16(5), pp. 829 – 848, 2007 (2007) • Journal Paper
  • Tzanis G., Berberidis C. and Vlahavas P. I., "MANTIS: A Data Mining Methodology for Effective Translation Initiation Site Prediction", Proc. of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Lyon, France, 2007 (2007) • Conference Paper
  • Tzanis G., Berberidis C. and Vlahavas P. I., "A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites", In Proc. 7th International Symposium on Biological and Medical Data Analysis (ISBMDA 2006), Springer LNCS, Thessaloniki, Greece, December 7-8, 2006 (2006) • Conference Paper
  • Tzanis G., Berberidis C. and Vlahavas P. I., "On the Discovery of Mutually Exclusive Items in a Market Basket Database", Proc. 2nd ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD 2006), Thessaloniki, Greece, September 6, 2006 (2006) • Conference Paper
  • Berberidis C. and Vlahavas P. I., "Mining for weak periodic signals in time series databases", Journal of Intelligent Data Analysis, Volume 9(1), IOS Press (2005) • Journal Paper
  • Tzanis G., Berberidis C. and Vlahavas P. I., "Biological Data Mining", Encyclopedia of Database Technologies and Applications, Laura C. Rivero, Jorge H. Doorn and Viviana E. Ferraggine (Eds.), IDEA Group Publishing, April 2005 (2005) • Book Chapter
  • Tzanis G., Berberidis C., Alexandridou A. and Vlahavas P. I., "Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences", In Proc. 10th Panhellenic Conference on Informatics (PCI'2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, pp. 426-436, Volos, Greece, 11-13 November 2005 (2005) • Conference Paper
  • Berberidis C., Angelis L. and Vlahavas P. I., "Inter-transaction Association Rules Mining for Rare Events Prediction", Proc. (companion volume) 3rd Hellenic Conference on Artificial Intelligence (SETN '04), Samos, Greece, 2004 (2004) • Conference Paper
  • Berberidis C., Angelis L. and Vlahavas P. I., "PREVENT: An algorithm for mining inter-transactional patterns for the prediction of rare events", Proc. 2nd European Starting AI Researcher Symposium (STAIRS' 04), IOS Press, Valencia, Spain, 23-24 August 2004 (2004) • Conference Paper
  • Berberidis C. and Vlahavas P. I., "Periodicity Mining in Industrial Data: A Real World Example on Power Data", Proc. First International Conference for Mathematics and Informatics for Industry (MII 2003), Thessaloniki, Greece, April 14-16 2003 (2003) • Conference Paper
  • Berberidis C., Vlahavas P. I., Aref W.G., Atallah M. and Elmagarmid A.K., "On the Discovery of Weak Periodicities in Large Time Series", Proc. 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), Helsinki, Finland, August 2002, Springer-Verlag, LNAI, vol. 2431, pp.51-61 (2002) • Conference Paper
  • Berberidis C., Walid G., Atallah M., Vlahavas P. I. and Elmagarmid A.K., "Multiple and Partial Periodicity Mining in Time Series Databases", Proc. 15th European Conference on Artificial Intelligence (ECAI 2002), pp. 370-374, Lyon, France, 2002, IOS Press, pp.370-374 (2002) • Conference Paper

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