Vasilis Pollatos

Vasilis' research interests include optimization and statistical learning theory. Specifically, his research will focus on areas such as learning in games and computation of equilibria.

Vasilis holds a Meng in Electrical and Computer Engineering from the National Technical University of Athens with a specialization in Computer Science. He has research and work experience in the development and analysis of machine learning algorithms. In 2020 he was an intern at NCSR “Demokritos”, where he applied deep learning techniques to satellite imagery problems. From September 2022 to August 2023 he worked as a research assistant at the Max Planck Institute for Software Systems, focusing on reinforcement learning and robustness problems.

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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