Odysseas Hlapanis

Odysseas’ research interests focus on natural language processing with large language models, such as the well-known family of GPT models. He plans to improve the ability of such models to make logical inferences in order to safely use them in crucial healthcare or legal applications.

Odysseas holds an Meng in Electrical and Computer Engineering from the National Technical University of Athens. 
He has research experience in designing deep neural network architectures for natural language processing, computer vision and speech applications. His thesis titled “Adapted Multimodal BERT with Layer-wise Fusion for Sentiment Analysis” was presented in the international conference ICASSP 2023 in Rhodes.

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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