Evgenia Michailovna Gerasimenko graduated with distinction from the Southern Federal University with a degree in Applied Informatics in Economics in 2010.
She pursued full-time postgraduate studies in Theoretical Foundations of Computer Science from 2010 to 2014. In 2014, she defended her PhD thesis in Technical Sciences. In 2020, she received the title of Associate Professor in Theoretical Foundations of Computer Science.
Position: Associate Professor at the CAD Department.
Scientific and teaching experience: 14 years.
In 2016, she was awarded a scholarship for young scientists of the Southern Federal University engaged in scientific and innovative activities.
Research interests: fuzzy logic, graph theory, evacuation modeling, discrete mathematics, flow problems in transport networks, data mining, fuzzy decision-making methods.
She is the author of over 90 scientific publications, including:
3 monographs
40 publications indexed in international databases (Scopus, WoS, Springer)
20 publications listed in the VAK list
4 textbooks
Her Hirsch index is 9 in RSCI and 6 in Scopus.
In 2018, she received an award from the Computer Science Committee of the Polish Academy of Sciences for the monograph Flows in Networks Under Fuzzy Conditions (co-authored by A.V. Bozhenyuk, E.M. Gerasimenko, J. Kacprzyk, and I.N. Rozenberg), published by Springer, recognizing it as the best monograph in computer science.
Research project experience:
Principal investigator of RSF grant No. 22-71-10121 “Development of Theoretical Foundations for Decision Support in Evacuation Tasks during Emergency Situations under Fuzzy Conditions” (2022–present).
Principal investigator of RFBR grant No. 19-01-00559a “Development and Research of Methods for Solving Extreme Optimization Flow Problems and Evacuation Tasks in Emergency Situations on Fuzzy Intuitionistic and Hesitant Graphs, Fuzzy Generalized Graphs, and Hypergraphs” (2019–2021).
Principal investigator of RFBR grant No. 16-01-00090a “Analysis and Research of Flows in Transport Networks under Fuzzy Conditions” (2016–2018).
Research team member of RFBR grant No. 17-01-00119a “Research of Methods and Algorithms for Decision-Making Based on Spatiotemporal Data in Smart Power Grids” (2017–2019).
Editorial Board Membership:
The Open Transportation Journal (ISSN 1874-4478), United Arab Emirates (Scopus, CiteScore 1.8)
Supervises postgraduate students in the specialty 2.3.8 Computer Science and Information Processes.
Publications in Q1/Q2 journals and monographs:
Gorbachev S., Gerasimenko E., Dixit А., Mani А., Kureichik V. Smart Emergency Multi-Attribute Decision-Making for Typhoon Response Based on a Hybrid Intuitionistic Fuzzy Approach // Nature. Scientific reports 2026. – 32 p. – https://doi.org/10.1038/s41598-026-45762-0 (научнаяСтатья, WOS, Scopus, Q1).
J. Kacprzyk, A. Bozhenyuk, E. Gerasimenko. Lexicographic Maximum Dynamic Evacuation Modelling with Partial Lane Reversal Based on Hesitant Fuzzy TOPSIS. Applied Soft Computing, vol. 144, September 2023 (Scopus, Q1)
Gerasimenko E., Bozhenyuk A. Decision-Making Approach to Emergency Evacuation Based on the Prioritized Flow with Intermediate Storage via HF ELECTRE. Journal of Multiple-Valued Logic & Soft Computing, 2024, Vol. 43, pp. 453–47 (WoS, Q1)
Gerasimenko E., Kureichik V.V. Minimum Cost Lexicographic Evacuation Flow Finding in Intuitionistic Fuzzy Networks. Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 251–263