Vasiliki Vasileiou

Vasiliki’s primary research interests lie in the fields of Artificial Intelligence and Machine Learning, with a specific focus on 2D and 3D Computer Vision (including Semantic and Temporal Segmentation, Detection, Weak Supervision, and Language Supervision), as well as Image Processing and Robotics

Vasiliki holds an MSc in Artificial Intelligence from the University of Amsterdam (UvA), where her thesis project focused on "Language-Driven 3D Scene Understanding." Prior to that, she completed an MEng in Electrical and Computer Engineering at the National Technical University of Athens (NTUA), with a thesis on the field of "Temporal Segmentation in Videos".
She has research experience, having worked as an undergraduate research assistant at the CVSP lab at NTUA and as an AI graduate research intern at ATLAS lab at UvA (in collaboration with TomTom). During her undergraduate and graduate studies, she published two papers, one in EUSIPCO and another in ReScience C. Additionally, she gained teaching experience as a teaching assistant in undergraduate and graduate AI and CS-related courses at the University of Amsterdam and Vrije Universiteit.

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.

greece2.0 eu_arch_logo_en


Stay connected! Subscribe to our mailing list by emailing
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)