Viktoria Fodor

Communication networks make it possible for humans to exchange information with one another, and with machines. Throughout the last few decades, technology has completely changed our lives, our society, and economy. In the future, networks will be an important part of distributed intelligent systems for efficient factories, transportations, and healthcare. Therefore, network research is faced with new challenges, Such challenges include the heterogeneity of the services, the enormous size of the new networks, and the need for resource efficient operations. Within network design, mathematical models are used to capture the most important properties of the system, and to evaluate the effects of the design choices.

Viktoria Fodor’s research focuses on developing methods that take into consideration the randomness of a network. This is important as we do not know where, when, and how much information the network users will need to exchange. The models also include the network protocol’s behaviour, i.e. the rules provided for sharing transfer resources. This could involve the radio wave spectrum that is used within telecommunication. Since more and more networks work within the same area, they can interfere with one another. Therefore, the research group also designs learning-based, distributed solutions, where networks optimise their behaviour based on the environment in which they operate.