Christos Charalambous

Latest research interests in the field of Computational Social science and in particular in the modelling of the dynamics of social norms in communities under collective risk.

In the recent past, I researched in complex systems in general, and more specifically in modelling prejudices in opinion dynamics (with emphasis on the role of the network topology of a community with a minority of biased agents) and in the competition of languages in bilingual societies, modelled on adaptive complex networks.

Relative experience also in machine learning, where I worked in a project concerning the performance of quantum reservoir computers, and in particular in identifying the role that particle statistics play in it.

I also have experience on the modelling of kinetics of biological systems, in particular in developing models of anomalous diffusion emerging in the context of interacting particle dynamics. These were aimed at describing observations of the diffusing dynamics of protein receptors that lie on the cell's membrane. I also have experience in anomalous diffusion in fluctuating environments, and more specifically one described by the Glauber-Ising model dynamics.

In the past, I acquired extensive experience in open quantum systems, in particular on the dynamics of impurities in Bose Einstein Condensates (BEC), which were examined under the prism of quantum Brownian motion. Particular emphasis was given on the non-Markovianity of the aforementioned dynamics as well as their anomalously diffusing kinetics.