معرفی
Prof. Yuliya Kyrychko is a Professor of Applied Mathematics at the University of Sussex, UK, affiliated with the Department of Mathematics within the School of Mathematical and Physical Sciences. She holds a PhD in Mathematics from the University of Surrey and has held academic positions at Sussex since 2010, progressing from Lecturer to Reader before becoming a Professor in 2023.
Education:
- PhD in Mathematics, University of Surrey (2001–2004)
- MSc in Applied Mathematics, Dnepropetrovsk National University (2000–2001)
- BSc (Hons) in Mathematics, Dnepropetrovsk National University (1996–2000)
Research Interests: Focuses on nonlinear dynamics, delay differential equations, and their applications in epidemiology, ecological systems, and biomedical modeling. Key areas include:
- Mathematical modeling of gene silencing and crop losses
- Autoimmunity and cytokine dynamics
- Infectious disease spread (e.g., COVID-19, coronaviruses)
- Neural network oscillations with time delays
- Cryptocurrency analysis using Google Trends data
- Complex networks in IoT systems
Recent Article Trends: Recent work emphasizes:
- Time-delayed systems in biological and epidemiological contexts
- Stochastic modeling of viral replication and mutation
- Optimization of healthcare strategies for pandemic containment
- Multi-stability and bifurcations in nonlinear models
Grants:
- EPSRC funding for hybrid testing in spatial systems (2007–2010)
- Research on distributed finance and smart networks (2016–2020)
Teaching & Leadership:
- Convened courses on Mathematical Biology, Calculus, and MATLAB
- Directed the “Mathematics Applied to Biology” research group
- Chair of School Athena SWAN Committee (2016–2018)
Labs/Teams: Active in interdisciplinary collaborations, particularly in mathematical biology, epidemiology, and computational modeling within the Department of Mathematics.
