István Zoltán Kiss

István Zoltán Kiss is a Professor at the Network Science Institute (Northeastern University London). His research sits at the intersection of network science, dynamical systems, and stochastic processes, focusing on theoretical and data-driven problems such as network inference, exactness of mean-field models, temporal and higher-order networks, and resilience of power networks.

• Research Themes: Mathematical Biology, Computational Neuroscience, Epidemic Modeling, Higher-order Network Analysis, Network Inference
• Methodologies: Markov Chains, Dynamical Systems, Closure Techniques, Adaptive Networks, Bayesian Inference

The 15 most recent publications span topics from simplicial contagion to trade dynamics in shipping networks, emphasizing exact and approximate models, parameter identifiability, and higher-order network structures. His work frequently addresses clustered networks, non-Markovian processes, and epidemic control strategies.

Key collaborations include:

• Prof Péter L. Simon (Eötvös Loránd University): Exact models, bifurcation theory
• Dr Joel C. Miller (La Trobe University): Edge-based models, weighted networks
• Dr Nicos Georgiou (University of Sussex): Network closure techniques

István has supervised numerous PhD students and postdoctoral researchers, including Dr Jean-Charles Croix (Leverhulme Trust) and Dr Vasilis Hatzopoulos (EPSRC), and taught courses like Statistical Inference and Random Processes across multiple institutions.