| Subject: | Mathematical Modelling for Science and Technology |
| Degree: | Department of Physics, Aristotle University of Thessaloniki |
| PhD: | School of Physics and Mathematics, Mathematical Physics Group, Newcastle University, United Kingdom |
| Research Interests: | Mathematical modeling, applied mathematics, theoretical physics, applied statistics, quantum field theory, modified theories of gravity, cosmology, quantum gravity, Probabilistic Models for Decision making and knowledge representation, Artificial Intelligence with Bayesian Probability networks, Medical Statistics, Intelligent systems, Expert systems, Digitization/representation of human brain, Human Computer Interaction |
| Office: | 211, 2nd Floor, Building Β |
| Contact with students: | Wednesday 13:00-15:00 |
| Tel: | +3022310 60162 |
| E-mail: | vzarikas@uth.gr |
| Personal Webpage: | https://www.researchgate.net/profile/Vasilios-Zarikas/publications |
Vasilios Zarikas received his Ph.D. in Theoretical Physics and Applied Mathematics from Newcastle University, England, U.K. and an M.Sc. degree from the University of Sussex, U.K. both supported by state funding. He was awarded a first class honors Bachelor degree in Physics by the Aristotle University of Thessaloniki, Greece. He was a postdoctoral researcher, a lecturer and an assistant researcher in several Universities: University of Athens, Dept. of Physics, Finance University of Athens, University of Crete, Mathematics Department and Foundation of Research and Technology FORTH, at the Informatics division. Heraclion Crete and Nazarbayev University. Some of the gained prizes include Ph.D. and M.Sc. Scholarships and assistantships as well as a research award from Niarchos Research Foundation.
His research work consists of more than 80 fully refereed journal and conference papers (50 journals, one research chapter book) and it has been recognized by 850 citations. Furthermore, his research activity has been received the support of National, European and Central Asia research funding; European research projects: IS4-ALL (Paneuropean ΣΕΑ00247-1), 2WEAR (Paneuropean, ΣΕΑ00268-1-1), PALIO (Paneuropean, ΣΕΑ00266-1), European and Greek projects: “Aristeia” ΚΠΣ 00006-1, “Optimum distributed generation design (DGRES)”- MIS 380360 for “Archimedes III”, “Energy reduction in Elevators Technology” for Synergasia 2009, “Measurement of Physical and Chemical Parameters in hot springs” for “Archimedes III”, “Caffeine Effects” for “Archimedes III”, Asian research projects: P.I. for “Quantum Gravity at astrophysical scale” for Orau grant Grant Number 110119FD4534. Co-Pi for Artificial Intelligence for Breast cancer Diagnosis, MES project.
Furthermore, he has supervised successfully three Ph.D. students.
Finally, he is a referee in several journals and conferences and coeditor in one journal.
Updated list of publications can be found here :
https://www.researchgate.net/profile/Vasilios_Zarikas/publications/
Updated list of citations and h -index can be found here :
https://scholar.google.gr/citations?user=eXEwsYUAAAAJ&hl=en
and here :
http://www.scopus.com/inward/authorDetails.url?authorID=6505951499&partnerID=MN8TOARS
- Bonanno, A., Kofinas, G., Zarikas, V., Effective field equations and scale-dependent couplings in gravity. (2021) Physical Review D, 103 (10), art. no. 104025.
- Bapin, Y., Alimanov, K., Zarikas, V., Camera-driven probabilistic algorithm for multi-elevator systems. (2020) Energies, 13 (23), art. no. en13236161,
- Mitra, A., Chattopadhyay, P., Paul, G., Zarikas, V., Binary black hole information loss paradox and future prospects. (2020) Entropy, 22 (12), art. no. 1387, pp. 1-15.
- Zarikas, V., Poulopoulos, S.G., Gareiou, Z., Zervas, E., Clustering analysis of countries using the COVID-19 cases dataset. (2020) Data in Brief, 31, art. no. 105787,
- Amrin, A., Zarikas, V., Spitas, C., Reliability analysis and functional design using Bayesian networks generated automatically by an “Idea Algebra” framework. (2018) Reliability Engineering and System Safety, 180, pp. 211-225.
- Kofinas, G., Zarikas, V., Solution of the dark energy and its coincidence problem based on local antigravity sources without fine-tuning or new scales. (2018) Physical Review D, 97 (12), art. no. 123542,
- Kofinas, G., Zarikas, V.. Avoidance of singularities in asymptotically safe Quantum Einstein Gravity. (2015) Journal of Cosmology and Astroparticle Physics, 2015 (10), art. no. 069,
- Zarikas, V., Papageorgiou, E., Regner, P., Bayesian network construction using a fuzzy rule based approach for medical decision support. (2015) Expert Systems, 32 (3), pp. 344-369.
- Zarikas, V., Kitsos, C.P., Risk analysis with reference class forecasting adopting tolerance regions.(2015) Springer Proceedings in Mathematics and Statistics, 136, pp. 235-247.
- Zarikas, V., Modeling decisions under uncertainty in adaptive user interfaces. (2007) Universal Access in the Information Society, 6 (1), pp. 87-101.
- Kiritsis, E., Kofinas, G., Tetradis, N., Tomaras, T.N., Zarikas, V., Cosmological evolution with brane-bulk energy exchange. (2003) Journal of High Energy Physics, 7 (2), pp. 733-754.
- Zarikas, V., Derivative expansion of quadratic operators in a general ’t Hooft gauge. (1999) Physical Review D – Particles, Fields, Gravitation and Cosmology, 60 (10), 10 p.
