SHORT BIO

Andreas is a PhD candidate jointly-enrolled at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA) and Archimedes AI, Data Science, and Algorithms Research Hub, where he is very fortunate to be co-advised by Prof. Ioannis Panageas (UC Irvine) and Prof. Aris Pagourtzis (CoReLab, NTUA). Prior to pursuing his PhD, Andreas obtained an M.Sc. in Data Science and Machine Learning, as well as a joint B.Sc.-M.Eng. degree in ECE with a major in Computer Science, all from NTUA.

During his master’s studies, he worked as an Applied Scientist intern (Level 4) at Amazon in Barcelona.

RESEARCH INTERESTS

In general, Andreas is interested in the intersection of game theory, online learning, and reinforcement learning.

Current areas of interest include:

• Computing/Learning equilibria in structured games (e.g., games with large action spaces, Markov games)
• Online learning and bandits (e.g., bandits with combinatorial structure)
• The computational complexity of hard problems in game theory and optimization
• Multi-agent reinforcement learning (MARL) under partial observability

PhD research on "Advances in Multi-Agent Learning, Decision Making and Computation"
Abstract: We aim to explore advances in the foundations of computation, online learning and multi-agent learning. The main pillar of research aims at showing positive results in the context of (a) learning in games (e.g., polyhedral games and Markov games) with structure, and (b) studying the computational complexity of non-convex optimization problems.

RESEARCH AREAS

Optimization