Evangelos Papalexakis

Evangelos (Vagelis) Papalexakis is a prominent academic in the field of computer science, currently serving as the Ross Family Chair and Associate Professor at the University of California, Riverside since August 2016. Research focuses on data science, machine learning, and AI, with a specialization in scalable and interpretable unsupervised and semi-supervised methods for multi-aspect data. Key applications of this work include fake news detection, graph mining, gravitational wave detection, and AI explainability. Prior experience includes a Research Assistant position at Carnegie Mellon University from September 2011 to August 2016, where research emphasized mining large multi-aspect data and tensor decompositions. Evangelos also completed internships at Google and Microsoft, contributing to advancements in structured data and search algorithms. Academic qualifications include a PhD in Computer Science from Carnegie Mellon University and a Master's and Engineering Diploma in Electronic and Computer Engineering from the Technical University of Crete.