Education

MD Degree
Aristotle University of Thessaloniki, 2016
Grade:
Very Good, 7.80 out of 10

PhD in Computer Science
Aristotle University of Thessaloniki, 2011
Thesis Title:
Knowledge Discovery from Biological Data
Grade:
Honors, 10 out of 10

MSc in Computer Science
Aristotle University of Thessaloniki, 2008
Specialization:
Information Systems
Grade:
Honors, 9.33 out of 10

BSc in Computer Science
Aristotle University of Thessaloniki, 2004
Grade:
Honors, 8.72 out of 10

Experience

Research Visitor
Dartmouth College, NH, USA, March-April 2006
Research visit at the Department of Computer Science at Dartmouth College at New Hampshire, U.S.A. for research collaboration with Dartmouth Experimental Visualization Laboratory (DEVLAB).

E-Learning Software Developer and Seminar Presenter
E-Learning Support Center, 2004-2008
E-Learning Software Development and Seminar Presentation in the research program titled "e-Learning Support Center (eLSC) - A.U.Th.'s Central Action" (Operational Programme for Education and Initial Vocational Training - Hellenic Ministry of National Education and Religious Affairs).

Software Evaluator
EUROCITIZEN Project, February-March 2005
Software Evaluation in the research program titled "An interactive, agent-based, on line edutainment environment to promote European intercultural education and cooperation among citizens of Europe" (Funded by the European Union under the IST program, E-content).

Software Developer
Intel-Gas Project, 2005-2006
Software Development in the research program titled "Development of an Intelligent System for the Remote Management of Natural Gas Units" (Operational Programme "Competitiveness", Measure: 4.3, Action: Programme for the Development of Industrial Research and Technology for New Enterprises).

Distinctions

Scholarship
Hellenic Association for Artificial Intelligence, 2010
Scholarship from the Hellenic Association for Artificial Intelligence for participating in the 6th Hellenic Conference on Artificial Intelligence.

3rd Place Innovative Business Plan Award
Thessaloniki Technology Park / Management & Development Corporation S.A., 2008
3rd place Innovative Business Plan Award at the competition "Innovative Ideas in Central Macedonia 2008" organized by Thessaloniki Technology Park / Management & Development Corporation S.A. in the framework of the Regional Innovation Pole of Central Macedonia Project.

Scholarship
Research Committee of the Aristotle University of Thessaloniki, 2006
Scholarship from the research committee of the Aristotle University of Thessaloniki, for distinction during the first year of my PhD studentship.

Scholarship - Highest Grade Achievement
State Scholarships Foundation, 2002
Scholarship from the State Scholarships Foundation, for achieving the highest grade during the first year (2000-2001) of the undergraduate studies program of the Department of Informatics.

4th Place Entrance
Aristotle University of Thessaloniki, Department of Informatics, 2000
Entered 4th (out of 70 candidates) at the Department of Informatics of Aristotle University of Thessaloniki.

1st Place Graduation
32nd Unified Upper Secondary School of Thessaloniki, 2000
School-leaving certificate from the 32nd Unified Upper Secondary School of Thessaloniki, achieving the highest grade ("honors" 19.5 out of 20).

Scholarship - 1st Place Graduation
Ioannis and Vasileia Karagiannis endowment, 1998
Scholarship from the Ioannis and Vasileia Karagiannis endowment for achieving the highest grade on the school-leaving certificate from 4th Lower Secondary School of Harilaou (Grade: honors 19,33 out of 20).

Publications

Journal Articles

  1. Sarafidis, P.A., Georgianos, P.I., Karpetas, A., Bikos, A., Korelidou, L., Tersi, M., Divanis, D., Tzanis, G., Mavromatidis, K., Liakopoulos, V., Zebekakis, P.E., Lasaridis, A., and Protogerou, A.D. (2014). Evaluation of a Novel Brachial Cuff-Based Oscillometric Method for Estimating Central Systolic Pressure in Hemodialysis Patients. American Journal of Nephrology, 40(3): 242-250.
  2. Tzanis, G. (2014). Biological and Medical Big Data Mining. International Journal of Knowledge Discovery in Bioinformatics. 4(1): 42-56.
  3. Tzanis, G. Berberidis, C., and Vlahavas, I. (2012). StackTIS: A Stacked Generalization Approach for Effective Prediction of Translation Initiation Sites, Computers in Biology and Medicine, Elsevier, 42(1), 61-69.
  4. Tzanis, G., Kavakiotis, I., and Vlahavas, I. (2011). PolyA-iEP: A Data Mining Method for the Effective Prediction of Polyadenylation Sites, Expert Systems with Applications, Elsevier, 38(10): 12398-12408.
  5. Hatzikos, E., Tsoumakas, G., Tzanis, G., Bassiliades, N., and Vlahavas, I. (2008). An Empirical Study of Sea Water Quality Prediction, Knowledge-Based Systems, Elsevier, 21(6): 471-478.
  6. Tzanis, G. and Berberidis, C. (2007). Mining for Mutually Exclusive Items in Transaction Databases. International Journal of Data Warehousing and Mining, Idea Group Publishing, 3(3): 45-59.

Conference Papers

  1. Tzanis, G. and Vlahavas, I. (2010). Mining for Mutually Exclusive Gene Expressions, In Proceedings of the 6th Hellenic Conference on Artificial Intelligence, Springer-Verlag, Athens, Greece, 255-264.
  2. Tzanis, G., Kavakiotis, I., Vlahavas, I. (2008). Polyadenylation Site Prediction Using Interesting Emerging Patterns, In Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, IEEE, Athens, Greece, 1-7.
  3. Tzanis, G. and Vlahavas, I. (2007). Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression. In Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), Patras, Greece, 96-100.
  4. Tzanis, G. and Vlahavas, I. (2007). Mining High Quality Clusters of SAGE Data, In Proceedings of the 2nd VLDB Workshop on Data Mining in Bioinformatics, Vienna, Austria.
  5. Tzanis, G. Berberidis, C., and Vlahavas, I. (2007). MANTIS: A Data Mining Methodology for Effective Translation Initiation Site Prediction. In Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Lyon, France, 6343-6347.
  6. Tzanis, G., Berberidis, C., and Vlahavas, I. (2006). A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites, In Proceedings of the 7th International Symposium on Biological and Medical Data Analysis, Thessaloniki, Greece, 92-103.
  7. Tzanis, G., Berberidis, C., and Vlahavas, I. (2006). On the Discovery of Mutually Exclusive Items in a Market Basket Database, In Proceedings of the 2nd ADBIS Workshop on Data Mining and Knowledge Discovery, Thessaloniki, Greece, 1-12.
  8. Tzanis, G., Katakis, I., Partalas, I., and Vlahavas, I. (2006). Modern Applications of Machine Learning, In Proceedings of the 1st Annual SEERC Doctoral Student Conference, Thessaloniki, Greece.
  9. Tzanis, G. and Vlahavas, I. (2006). Prediction of Translation Initiation Sites Using Classifier Selection. In Proceedings of the 4th Hellenic Conference on Artificial Intelligence (SETN'06), G. Antoniou, G. Potamias, D. Plexousakis, C. Spyropoulos (Eds.), Springer-Verlag, LNAI 3955, Heraklion, Greece, 367-377.
  10. Tzanis, G., Berberidis, C., Alexandridou, A., and Vlahavas, I. (2005). Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences. In Proceedings of the 10th Panhellenic Conference on Informatics (PCI'2005), Volos, Greece, 426-436.
  11. Berberidis, C., Tzanis, G., and Vlahavas, I. (2005). Mining for Contiguous Frequent Itemsets in Transaction Databases, In Proceedings of the IEEE 3rd International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Sofia, Bulgaria, 679-685.

Chapters in Edited Volumes

  1. Kavakiotis, I., Tzanis, G., and Vlahavas I. (2014). Polyadenylation Site Prediction using PolyA-iEP Method. Polyadenylation: Methods and Protocols, Methods in Molecular Biology, J. Rorbach and A. Bobrowicz (Eds.), 1125, 131-140.
  2. Kavakiotis, I., Tzanis, G., and Vlahavas I. (2014). Mining Frequent Patterns and Association Rules from Biological Data. Biological Knowledge Discovery Handbook: Preprocessing, Mining and Post-processing of Biological Data, M. Elloumi and A.Y. Zomaya (Eds.), Wiley Book Series on Bioinformatics: Computational Techniques and Engineering, Wiley-Blackwell, John Wiley & Sons Ltd., New Jersey, USA.
  3. Tzanis, G., Berberidis, C., and Vlahavas, I. (2009). Machine Learning and Data Mining in Bioinformatics. Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, Ferraggine, V.E., Doorn, J.H., Rivero, L.C. (Eds.), IGI Global.
  4. Tzanis, G., Berberidis, C., and Vlahavas, I. (2005). Biological Data Mining, Encyclopedia of Database Technologies and Applications, L.C. Rivero, J.H. Doorn, and V.E. Ferraggine (Eds.), IDEA Group Publishing.