Interests
Georgios (George) Palaiokrassas’ research interests lie at the intersection of Blockchain, Machine Learning and Internet and Things. He focuses on the development of advanced algorithms and models for decentralized finance (DeFi) applications, particularly in the areas of fraud detection, credit risk assessment, and liquidation prediction. George has made significant contributions to the understanding and implementation of smart contracts on blockchains, reinforcement learning in blockchain environments and the application of Large Language Models (LLMs) for blockchain use cases enhancing smart contracts and improving overall system reliability and efficiency through AI-driven insights.
Selected Publications
- G. Palaiokrassas, S. Scherrers, I. Ofeidis, L. Tassiulas. (2024). “Leveraging Machine Learning for Multichain DeFi Fraud Detection”. In IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2024).
- G. Palaiokrassas, S. Scherrers, E. Makri, L. Tassiulas. (2024). “Machine Learning in DeFi: Credit Risk Assessment and Liquidation Prediction”. In IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2024).
- M. Darlin, G. Palaiokrassas, L. Tassiulas. (2022). “Debt-financed collateral and stability risks in the DeFi ecosystem”. In 2022 4th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), pages 5–12, IEEE.
PREVIOUSLeandros Tassiulas
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