Summary
Giorgos Paraskevopoulos is an Assistant Researcher and recently minted PhD in Artificial Intelligence from the National Technical University of Athens with 11 years of experience bridging industry and academia in speech and language processing. His dissertation and research focus on cognitively motivated machine learning for dimensionality reduction and domain adaptation, particularly for resource-constrained and unseen-domain settings, and he has co-authored 20+ peer-reviewed papers with 500+ citations. He has practical ML and software engineering experience from roles at Intracom Telecom, Behavioral Signals and internships with Amazon Lab126 and AWS AI Labs, bringing production-aware perspectives to research. An active open-source contributor and reviewer for top conferences (ACL, AAAI, ICASSP), he has contributed to multiple European and national projects such as AI4EDU and Babyrobot. Notably, his work emphasizes multimodal representation fusion and cognitively-inspired architectures, pairing theoretical rigor with applied system-building.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at National Technical University of Athens
English, German, Greek