Mr. Michail Dadopoulos

Research Assistant

  • Diploma in Electrical and Computer Engineering AUTH (2024)

Graduate of the School of Electrical and Computer Engineering at Aristotle University of Thessaloniki (A.U.Th.). His diploma thesis, titled “Deep Reinforcement Learning for Financial Data Analytics and selection of appropriate actions” focuses on the development and evaluation of Deep Reinforcement Learning agents for financial trading, aiming to enhance their robustness and profitability through the integration of a contractive loss during training. He has been working as a Research Assistant at the Information Technologies Institute (ITI) of the Centre for Research and Technology Hellas (CERTH) since October 2025. His research interests include Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and Reinforcement Learning.

Contact
Mr. Michail Dadopoulos

Information Technologies Institute
Centre of Research & Technology - Hellas
Email: mdadopoulos@iti.gr
Url: https://www.linkedin.com/in/michail-dadopoulos/