Andreas Kouridakis
Researcher
Research Interests
Graph Neural Networks (GNNs)
Human-Centric AI
Generative AI
Multimodal Machine Learning
Contact
Additional Information
Andreas Kouridakis is a postgraduate student in “Artificial Intelligence”, an Inter-Institutional program organized by NCSR Demokritos and the University of Piraeus. He is currently conducting research for his thesis, focusing on the application of Graph Neural Networks (GNNs) for time series analysis.
He holds a BSc in Mathematics from the University of Patras. Along with his academic studies, he has gained some experience in the industry, working with generative models on tasks such as data augmentation and sentiment analysis.
Additionally, he is working on enhancing Human-Agent collaboration, leveraging large language models (LLMs) to obtain valid and valuable information, using Reinforcement Learning.
His interests include Multimodal Emotion Recognition, which refers to the identification and understanding of human emotional states by combining signals such as text, speech and facial cues. He also focuses on Data Ethics and Legal Compliance, ensuring that AI models are developed and applied responsibly within ethical frameworks.