Zafeiris Anna

tudományos főmunkatárs

PhD (Pazmany University, Budapest, 2008)

Biográfia:

Anna Zafeiris holds one MSc degree in Computational Mathematics (Artificial Intelligence orientation, 2003) and one in Physics (2002), both from the University of Sciences, Szeged. She completed her PhD studies in the subject of Modelling Visual Attention under the supervision of Prof. Tamás Roska, at the Peter Pazmany University, on the Faculty of Information Technology, where she graduated in 2008, Summa Cum Laude. Currently, she is a member of the MTA-ELTE Statistical and Biological Research Group of the HAS, which is hosted by the Biological Physics Department at ELTE-TTK. Her main research interest is to model biological and social systems with tools borrowed from mathematics, physics and information technology, with an emphasis on group dynamics in complex and self-organizing systems, from the viewpoint of network theory. She has been teaching Discrete Mathematics, Cellular Neural/Nonlinear Networks, Database Theory, Digital Computation Theory at PPCU-FIT in Hungarian, and Statistical Physics of Biological Systems at ELTE-TTK, in English. She authored the book entitled "Why we live in hierarchies: a quantitative treatise" together with Prof. Tamás Vicsek, which has been published in 2018 by Springer-Nature. She holds the “Bolyai János” Research Scholarship in the topic of “Optimal Collective decision making in hierarchical, heterogeneous, groups” (2015 - 19), and the Bolyai+ Research Grant in the topic of "Optimal information flow in groups aiming to reach consensus in complex environment" (2018 - 19).

Tudományos adatbázisok profiloldalai:

• Publikációs lista: MTMT2
• Publikációs lista: ORCID
• Publikációs lista: ResearcherID
• Publikációs lista: Scopus
• Publikációs lista: Google Scholar

Az utolsó 5 év válogatott közleményei:

1. Anna Zafeiris and Tamás Vicsek: Why we live in hierarchies: a quantitative treatise. SpringerBriefs in Complexity, Springer-Nature, 2018
2. Anna Zafeiris and Tamás Vicsek, Group performance is maximized by hierarchical competence distribution, Nature Communications, 4, Article number: 2484, DOI
3. Anna Zafeiris, Zsombor Komán, Enys Mones and Tamás Vicsek, Phenomenological theory of collective decision-making, Physica A, 479, pp. 287-298, 2017 CrossLink