giannis-kalogeropoulos
Giannis Kalogeropoulos
RESEARCH INTERESTS

Giannis' research interests lie in the fields of geometric deep learning, multimodal fusion, and computer vision. Specifically, his work will focus on developing graph-based multimodal fusion methods, designing models that respect intra- and cross-modal symmetries and experimenting with cross-modal interactions.

SHORT BIO
Giannis holds an MEng in Electrical and Computer Engineering from the National Technical University of Athens, focusing on Computer Science. During his studies, he studied a lot of state-of-the-art deep learning techniques and cultivated a strong interest in Geometric Deep Learning. While working on his Diploma Thesis, he employed Graph Neural Networks and incorporated external knowledge for the multimodal task of Visual Dialog.
He has professional and research experience in studying and implementing machine learning models in a wide range of fields. Specifically, as a Machine Learning Engineer, he has worked on Natural Language Processing and Time Series Forecasting problems, employing, among others, pre-trained Language Models. Moreover, he has dove deeper into the MLOps techniques for orchestrating the whole lifecycle of an ML model. Finally, he has published and presented at an IEEE conference his work on Machine Learning and Edge Computing.
 

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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