Short Bio

Nikos holds an MSc in Data Science and Machine Learning from the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), where his thesis project focused on "Optimization in Network Team Growth Dynamics". Prior to that, Nikos  completed an MEng at the School of Applied Mathematical and Physical sciences of NTUA, where his thesis "Calibration of Hadronic Jets using Machine Learning" focused on the study of angular distributions of jets recorded at the Large Hadron Collider (LHC) at CERN.

Research Interests

His research and work experience focus on machine learning, data mining and graph analysis.

PhD research on "How Unfair is Sticking to your own Opinion? Fairness in Opinion Formation Dynamics"
Abstract: We introduce fairness in opinion formation dynamics under the Friedkin–Johnsen model. Defining influence as a node’s impact on final opinions, we propose minimal interventions in order to balance influence across competing groups. We derive closed-form equations, design algorithms, and validate them on synthetic and real networks.