Athens Tech College

Georgios Papamichail is Director of the Directorate of Efficiency, Certification and New Technologies at the National Centre for Public Administration and Local Government (ΕΚΔΔΑ). In this role he leads the organisation’s digital infrastructure and its quality and certification work. This includes the Microsoft 365 environment and the Windows Server/Active Directory and Hyper-V infrastructure, a Windows 11 deployment across 150 workstations, the migration of the opengov.gr platform to Microsoft Azure, and the ISO 9001 quality management system. He has helped run large EU Recovery and Resilience Facility projects on digital upskilling of public servants and AI-driven workforce planning, as well as the GR digiGOV-innoHUB innovation project. He has also contributed to GDPR compliance, public procurement and the drafting of amendments to ΕΚΔΔΑ’s organisational statute. A computer engineer by training with CCNA/CCNP certifications, he combines technical expertise in networking and systems administration with deep knowledge of Greek administrative law, public procurement and data protection. Alongside his public-sector career he has taught ICT for many years as an adjunct lecturer at universities and colleges and as a Tutor-Advisor at the Hellenic Open University. He has also published widely in decision making, operations research, e-commerce and computational biology.

2001 – today: Tutor-Advisor (ΣΕΠ) at the Hellenic Open University, Thematic Unit ΠΛΗ10 and ΠΛΗ50, Adjuct Assistant Professor at the Athens University of Economics and Business, Lecturer at private colleges in partnership with UK universities (Athens Tech, New York College, Metropolitan College). Lessons delivered in the area of ICT:

· Computer Networks

· Operating Systems

· Computer Systems Architecture

· Mathematics for Computing

· Supervision of undergraduate and postgraduate theses

2007–2025: Cisco Networking Academy Instructor, with over 4.700 hours of documented instruction across CCNA programs.

1. Kapelios, V., Panagopoulou, G., Papamichail, G., Sirmakessis, S., & Tsakalidis, A. (1995). The “cross” rectangle intersection problem. The Computer Journal, 38(3), 227–235.

2. Pramataris, K., Giaglis, G., Papamichail, G., Doukidis, G., & Pallikarakis, N. (1995). The potential of EDI in health: The EUROMEDIES case. In Proceedings of Health Telematics 95.

3. Papamichail, G. P. (1997). An experimental investigation on the impact of mediated group memory on collaborative small group decision-making. Journal of Decision Systems, 6(4), 333–351.

4. Pramataris, K. C., Vrechopoulos, A. P., Mylonopoulos, N., Papamichail, G., & Poulimenakou, A. (2000). Personalised services and promotions in internet retailing. In Proceedings of the eBusiness and eWork 2000 Conference, Madrid, Spain.

5. Vrechopoulos, A. P., Papamichail, G. P., & Doukidis, G. I. (2002). Identifying patterns in internet retail store layouts. In P. M. Pardalos & V. K. Tsitsiringos (Eds.), Financial engineering, e-commerce and supply chain (pp. 231–245). Springer.

6. Papamichail, G. P., & Antoniadis, I. P. (2003). Information quality issues in telco database marketing campaigns. In Proceedings of the 11th European Conference on Information Systems (ECIS 2003) (pp. 1480–1490).

7. Papamichail, G. P., & Papamichail, D. P. (2003). Towards using computational methods for real-time negotiations in electronic commerce. European Journal of Operational Research, 145(2), 232–238.

8. Papamichail, D. P., & Papamichail, G. P. (2004). Personalized trust management in decision making: A dynamic clustering approach. Journal of Computing and Information Technology, 12(1), 47–53.

9. Papamichail, G. P., & Papamichail, D. P. (2004). Real-time concept creation in distributed e-learning systems. In Proceedings of the IASTED International Conference on Web-Based Education (pp. 631–636), Innsbruck, Austria.

10. Papamichail, G. P., & Papamichail, D. P. (2007). The k-means range algorithm for personalized data clustering in e-commerce. European Journal of Operational Research, 177(3), 1400–1408.

11. Papamichail, D., & Papamichail, G. (2009). Improved algorithms for approximate string matching. BMC Bioinformatics, 10(Suppl. 1), Article S10.

12. Papamichail, D., & Papamichail, G. (2010). Incorporating miRNA target sites in protein-coding RNA. In 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) (pp. 380–385). IEEE.

13. Mabrey, M., Caputi, T., Papamichail, G., & Papamichail, D. (2014). Static level ancestors in practice. arXiv. https://doi.org/10.48550/arXiv.1402.2741

14. Papamichail, D., Caputi, T., & Papamichail, G. (2014). The level ancestor problem in practice. arXiv. https://doi.org/10.48550/arXiv.1402.2741

15. Papamichail, D., Huang, A., Miller, A., Kennedy, E., Ott, J.-L., & Papamichail, G. (2016). Most compact parsimonious trees. arXiv. https://doi.org/10.48550/arXiv.1603.03315

16. Papamichail, D., Huang, A., Kennedy, E., Ott, J.-L., Miller, A., & Papamichail, G. (2017). Live phylogeny with polytomies: Finding the most compact parsimonious trees. Computational Biology and Chemistry, 69, 171–177.

17. Papamichail, D., Liu, H., Machado, V., Gould, N., Coleman, J. R., & Papamichail, G. (2018). Codon context optimization in synthetic gene design. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(2), 452–459.

18. Papamichail, D., Carpino, N., Aberbach, T., & Papamichail, G. (2020). Decodon Calculator: Degenerate codon set design for protein variant libraries. In IWBDA 2020: 12th International Workshop on Bio-Design Automation.

19. Cheema, N., Papamichail, G., & Papamichail, D. (2022). Computational tools for synthetic gene optimization. In V. Singh (Ed.), New frontiers and applications of synthetic biology (pp. 171–189). Academic Press.

20. McCloskey, M., Curcio, G., Badineni, A., McGrath, K., Papamichail, G., & Papamichail, D. (2023). Automated arrangements of multi-part music for sets of monophonic instruments. In International Symposium on Computer Music Multidisciplinary Research (pp. 329–336). Springer Nature Switzerland.

21. Papamichail, D., Febinger, M., Almeda, S., Aberbach, T., & Papamichail, G. (2024). Synthesis cost-optimal targeted mutant protein libraries. Computational Biology and Chemistry, 110, Article 108068.