Yuliya Kyrychko

I am an applied mathematician with research interests focussed on the use of fundamental methods of applied mathematics, in particular, nonlinear dynamics, to develop new theoretical, computational and experimental tools for solving 'real-world' problems, and to use application-driven challenges to inspire new mathematics. In particular, members of my group and myself are working on:
-Delay differential equations with discrete and distributed delays
-Epidemic modelling with latency and immunity
-Neural network models with delayed connections
-Modelling of genetic networks
-Time-delayed feedback control of chaos in spatially extended systems
-Mathematical modelling and wavelet analysis of cryptocurrencies using Google Trends data
-Understanding the dynamics of blockchain-based technologies using dynamical systems approach
-Applications of complex networks theory to understand and optimise performance of the Internet of Things (IoT) networks