Stathis holds an Meng in Electrical and Computer Engineering from the Democritus University of Thrace. Specifically, he chose the «Electronic and Information Systems» specialization and graduated in December 2022, achieving the highest grade among his peers.

From the early years of his studies, he demonstrated a keen interest in the field of artificial intelligence and data science, actively participating in various annual scientific groups and events. He has relevant research experience in designing, developing, and evaluating self-supervised learning methods. While working on his diploma dissertation thesis, he studied unsupervised learning techniques for leveraging large sets of unlabeled data to enhance accuracy, efficiency, and scalability of perception systems used in autonomous vehicles.

RESEARCH INTERESTS

Stathis’ research interests include computer vision and deep unsupervised learning. Specifically, his research will focus on developing innovative self-supervised learning methods to extract high-quality representations from large sets of unlabeled multimodal data.

PhD research on "Semantic Future Prediction"
Abstract: Semantic future prediction refers to forecasting how scene semantics like objects, depth, and spatial structure will evolve over time. As a fundamental capability of world-models, it enables accurate, robust, and efficient foresight, allowing autonomous systems and intelligent agents to operate safely, reliably, and effectively in complex, dynamic environments.