Vassalos Vasilios

Department of Informatics
Office Address: 2, Troias, Kimolou & Spetson Str., 4th Floor, Office 401
Phone: +30 210 - 8203 124
Office Hours: Monday and Wednesday 10:00-11:00 and upon agreement by email

Vasilis Vassalos is leading the Data Science research group in the Information Processing Lab. He serves in AUEB since 2004, and before that he served as Assistant Professor in the Stern School of Business at NYU and the founder and CTO of a venture-funded data integration startup company acquired by a multinational public software company. In 2013 he was a visiting professor of the Information and Communication School of EPFL. During the 2007-2008 academic year he was a Marie Curie Outgoing International Fellow of the European Commission and a Visiting Scholar at the CSE Department of UC San Diego for fall-winter 2007.

Professor Vassalos is the recipient of numerous awards and has been Principal Investigator for over 15 funded research and advanced development projects since his arrival at AUEB in 2004. He is the author of over 60 technical publications and two US patents. Vassalos is the cofounder of the pioneering software company Enosys Software, maker of the first XQuery based data integration platform and distributed XQuery engine. Enosys Software was sold to BEA Systems in 2003. He is a PI of the FET Flaghship Human Brain Project since the beginning, and was a member of the Stakeholder Board of the Project in 2016-2018.

He was member of the Board of Directors of the Observatory of the Greek Information Society, a member of the advisory board of the US-based high technology company Lingospot, and an advisor and consultant to industry and public sector entities, as well as a mentor and investor in technology startups.

He received a Diploma in Electrical and Computer Engineering from the National Technical University of Athens in 1989, and his MS and PhD in Computer Science from Stanford University in 1998 and 2000 respectively. His current research interests include Machine Learning applications to large scale business problems, Declarative Machine Learning, Query Processing and Optimization of Complex, Heterogeneous Data, and large-scale Data Integration/Data Cleaning.

Full CV:[pdf]