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Dr. Nikolaos Dourvas

Postdoctoral Research Associate

  • Ph.D. in Electrical and Computer Engineering, D.U.TH, in the Electronics and Information Technology Systems Sector (2021)
  • MSc in Electrical and Computer Engineering, D.U.TH, in the Electronics and Information Technology Systems Sector (2015)
  • Diploma in Electrical and Computer Engineering, D.U.TH (2013)

Dr. Nikolaos I. Dourvas is currently a Post-Doctoral Research fellow in Information Technologies Institute (ITI) at the Centre for Research & Technology Hellas (CERTH). His research interests include Artificial Intelligence and Machine Learning, Digital Twins, Embedded systems, and Modeling of complex electronic systems. During his Ph.D, he has worked as a teaching assistant in the following classes: “Microprocessors and Applications”, “Embedded Systems Design”, “Analysis & Synthesis of Complex Electronic Systems” and “Digital Design”. He has published his work in international peer-reviewed journals and conferences.

Recent Publications

Show all (6)

  • A. Vassiliades, A. I. Karageorgiadis, E. Batziou, S. Diplaris, E. A. Stathopoulos, N. Dourvas, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, "Optimizing Carbon Footprint & Energy Performance for the Sustainability of Historic Buildings using Knowledge Graphs & Digital Twins.", in Proceedings of the third international Workshop on Knowledge Graphs for Sustainability (KG4S), Portoroz, Slovenia, June 1-2, 2025.
  • E. Batziou, N. I. Dourvas, K. Ioannidis, S. Diplaris, S. Vrochidis, I. Kompatsiaris, "Digital Twin Development for Cultural Heritage Buildings: A Multimodal Approach to Simulating Energy Performance.", in Proceedings of the ISIM Workshop at ACM IMX 2025, ACM, 2025.
  • E. Patsiouras, S. Kyriakou Vasileiou, S. A. Papadopoulos, N. I. Dourvas, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, "Integrating AI and Computer Vision for Ballistic and Bloodstain Analysis in 3D Digital Forensics.", in Proceedings of the IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St Albans, UK, October 21-23, 2024.
  • T. Papadopoulos, I. Kosmas, G. Botsoglou, N. I. Dourvas, C. Maga-Nteve, C. Michalakelis, "Predicting Consumer Service Price Evolution during the COVID-19 Pandemic: An Optimized Machine Learning Approach.",Electronics, vol. 12, no. 18, 2023. https://doi.org/10.3390/electronics12183806
  • I. Koulalis, N. Dourvas, T. Triantafyllidis, K. Ioannidis, S. Vrochidis, I. Kompatsiaris, "A survey for image based methods in construction: from images to digital twins.", in Proceedings of the 19th International Conference on Content-based Multimedia Indexing (CBMI 2022), Graz, Austria, 14-16 September 2022, pp. 103-110. https://doi.org/10.1145/3549555.3549594
Contact
Dr. Nikolaos Dourvas
Building A - Office 0.8

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311257727
Fax: +30 2310 474128
Email: ndourvas@iti.gr