SHORT BIO

Vasilis is an MSc student in the School of Informatics at the Aristotle University of Thessaloniki in the area of Web and Data Science. He holds a bachelor’s degree from the same department. He has research experience in fair division, while he has also worked on topics around deep learning and reinforcement learning.

RESEARCH INTERESTS

Vasilis’ research interests lie in the intersection of computer science, machine learning, and economics and specifically on algorithmic game theory and mechanism design. His research will focus on topics in algorithmic game theory.

PhD research on "Learning-Augmented Coordination Mechanisms"
Abstract: We study the fundamental problem of reducing the inefficiency of equilibria in congestion games via coordination mechanisms. We adopt the learning-augmented framework and design a coordination mechanism that modifies the latency functions based on a predicted demand vector. The mechanism offers an equilibrium strategy to the players that achieves strong performance guarantees.