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Resume (English only)
Academic Achievements
Published 55+ conference and journal papers; Mentored 25+ scientists; Delivered 19 tutorials and workshops at conferences and universities; Contributed to high-impact research and published at top-tier conferences.
Research Experience
Worked as an ML scientist at MERL from June to Dec. 2019, focusing on graph representation learning; Since Feb. 2020, has been working at Amazon, developing GNN and NLP solutions, leading research and development in the intersection of GraphML and NLP for AWS and Amazon. Led projects such as Neptune ML and GraphStorm, and led teams in developing new search features based on graph and language technologies.
Education
Ph.D. in 'Robust Deep Learning on Graphs' from the University of Minnesota, supervised by Prof. Georgios B. Giannakis; M.Sc. from the University of Minnesota; Diploma from the School of Electrical and Computer Engineering, National Technical University of Athens, majoring in Computer Science.
Background
A Senior Applied Scientist at Amazon AI, with a focus on the intersection of Graph Neural Networks (GNNs) and Natural Language Processing (NLP), particularly in applications for AWS and Amazon.
Miscellany
Contact: vassilisnioannidis@gmail.com; Google Scholar page available.