Christos Koutras
Web Information Systems Group, Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, TU Delft
Office W4.920
4th floor, Building 28
V Mourik Broekmanweg 6
2628XE, Delft
Netherlands
I am a PhD Candidate at the Web Information Systems group of the Faculty of Engineering, Mathematics and Computer Science at Delft University of Technology. I am 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 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
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! |