Stathis Karypidis

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.

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.

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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