Professor Vasileios Chatzis received his Diploma in Electrical Engineering in 1991 and his PhD in Informatics in 1999, both from the Aristotle University of Thessaloniki. He is currently a Professor in the Department of Management Science and Technology at the Democritus University of Thrace. He teaches Computer Programming, Information Systems and Software Technology courses at undergraduate and postgraduate level.
From 1993 to 1999, he was a researcher at the Artificial Intelligence and Information Analysis Laboratory in the Department of Informatics at the Aristotle University of Thessaloniki. He also taught in the Department of Electrical and Computer Engineering at the Democritus University of Thrace.
His current research interests include business intelligence, machine learning, deep learning, data clustering and digital image processing and analysis. He has over 20 years’ experience in research, acting as a coordinator or member of research groups on various projects. He has published over 50 research papers which are internationally recognized, having been cited more than 1500 times. He is also a reviewer for many international scientific journals.
Contact details:
Department of Management Science and Technology, DUTh, Kavala 65404,
Telephone: +302510462325,
Email: chatzis@mst.duth.gr
SELECTED PUBLICATIONS:
- Panagiotopoulos, F.; Chatzis, V. A Mathematical Method for Optimized Decision-Making and Performance Improvement Through Training and Employee Reallocation Under Resistance to Change. Mathematics 2025, 13, 2619. https://doi.org/10.3390/math13162619
- Parastatidou, G.; Chatzis, V. Identifying Base Erosion Through the Expenses Localness Indicators Model: A Methodology for Supporting Social Investment. J. Risk Financial Manag. 2025, 18, 326. https://doi.org/10.3390/jrfm18060326
- Parastatidou, G.; Chatzis, V. Measuring Localness in E-Commerce Using the Expenses Localness Indicators Model. J. Theor. Appl. Electron. Commer. Res. 2025, 20, 67. https://doi.org/10.3390/jtaer20020067
- Panagiotopoulos, F., Chatzis, V. A Continuous Monitoring and Reallocation Method for Successful Decisions in Change Management. Algorithms 2025, 18, 184. https://doi.org/10.3390/a18040184
- Parastatidou, G., Chatzis, V. (2024). A Meta-Indicator for the Assessment of Misleading Sustainability Claims. Sustainability, 16(23), 10628. https://doi.org/10.3390/su162310628
- Kalampokas, T., Krinidis, S., Chatzis, V. & Papakostas G.A.. Performance benchmark of deep learning human pose estimation for UAVs. Machine Vision and Applications 34, 97 (2023). https://doi.org/10.1007/s00138-023-01448-5
- Mardiris, V. and Chatzis, V., A Configurable Design for Morphological Erosion and Dilation Operations in Image Processing using Quantum-dot Cellular Automata, Journal of Engineering Science and Technology Review, Vol. 9, Iss. 2, pp. 25-30, 2016.
- Krinidis, S., Krinidis, M., Chatzis, V., Fast and robust fuzzy active contours, Engineering Intelligent Systems 21 (2-3), pp. 133-146, 2013.
- Panagiotopoulos, F.K., Mardiris, V.A., Chatzis, V., Quantum-dot cellular automata design for median filtering and mathematical morphology operations on binary images, Lecture Notes in Computer Science, 7495 LNCS , pp. 554-564, 2012.
- S. Krinidis and V. Chatzis, “A Robust Fuzzy Local Information C-means Clustering Algorithm”, IEEE Trans. on Image Processing, vol. 19, no 5, pp. 1328-1337, 2010.