Christos Koutras
Visualization and Data Analytics Research Center, Department of Computer Science and Engineering, Tandon School of Engineering, New York University
Office 1137
11th floor
370 Jay Street
NY 11201, Brooklyn
United States
I am a Postdoctoral Research Associate at the Visualization and Data Analytics Research Center of the NYU Tandon School of Engineering. I have obtained my PhD from the Web Information Systems group of the Faculty of Engineering, Mathematics and Computer Science at Delft University of Technology, where I was supervised by Asterios Katsifodimos and Christoph Lofi. My research is focused on Data Integration, and specifically Schema Matching, while I have also worked on spatial data management.
I also hold a Master of Philosophy (MPhil) in Computer Science from HKUST, where I was supervised by Prof. Dimitris Papadias. Prior to that, I obtained my 5-year Diploma in Electrical and Computer Engineering from National Technical University of Athens.
news
Nov 15, 2024 | I have joined the VIDA Research Center at NYU School of Engineering as a Postdoctoral Research Associate! |
Oct 25, 2022 | Our valentine python package has a new version (0.1.5)! This version brings minor fixes and support for Python 3.11! |
Apr 16, 2022 | Happy to share that I am starting my internship as an Applied Scientist with the AWS Graph ML team! My focus will be on ML-assisted dataset exploration! |
Mar 20, 2021 | We will demonstrate our paper "Valentine in Action: Matching Tabular Data at Scale" in VLDB 2021! With this demo we provide an intuitive GUI to use Valentine both for experimentation/evaluation and holistic schema matching! |
Feb 28, 2021 | Our paper "Valentine: Evaluating Matching Techniques for Dataset Discovery" has been accepted to IEEE ICDE 2021! You can access the pre-print and more information about the paper here! |
Nov 18, 2020 | We have released Valentine, a tool for facilitating Dataset Discovery by offering a set of SOTA matching methods, fabricated datasets with ground truth and an easy way to deploy it! The corresponding pre-print arXiv paper can be found here, while we have all needed information and useful links in this webpage. | Mar 9, 2020 | We are gonna present our WiP paper "REMA: Graph Embeddings-based Relational Schema Matching" during the SEA Data workshop co-hosted with EDBT 2020! |