Dr. Nikolaos LAOUTARIS
Research Professor
- PhD: Computer Science - University of Athens. Athens, Greece
- Former position: Senior Researcher. Telefónica. Barcelona. Spain & Director of Data Science. Eurecat. Barcelona. Spain
- Joining date: December 2018
- Website: http://laoutaris.info/
- Email: nikolaos.laoutaris@imdea.org
- Phone: +34 91 481 6917
Biography
Nikolaos Laoutaris is a research professor at IMDEA Networks Institute in Madrid, and director of its Data Transparency Group (DTG). Prior to that he was director of data science at Eurecat and chief scientist of the Data Transparency Lab which he co-founded in 2014 during his 10 year tenure as a researcher in Telefonica. Before that, Nikolaos was a postdoc fellow at Harvard University, a Marie Curie postdoc fellow at Boston University, and a PhD student in computer science at the University of Athens. His main research interests include privacy, transparency, data protection, economics of networks and information, intelligent transportation, distributed systems, protocols, and network measurements.
Research projects
ODIO
Main researcher
The Open Digital Identity Observatory
More infoarrow_right_altDW-marking
Main researcher
Data Watermarking: The missing link to on-/off-chain implementation of distributed data marketplaces
More infoarrow_right_altPIMCITY
Main researcher
Building the next generation personal data platforms
More infoarrow_right_alt
Publications
What do Information Centric Networks, Trusted Execution Environments, and Digital Watermarking have to do with Privacy, the Data Economy, and their future?
ACM SIGCOMM Computer Communication Review. Volume 51 , ACM. ISSN: 0146-4833. January 2021
Identifying Sensitive URLs at Web-Scale
The 20th ACM Internet Measurement Conference (ACM IMC 2020). Virtual event. October 2020
Beyond content analysis: Detecting targeted ads via distributed counting
The 15th International Conference on emerging Networking EXperiments and Technologies (ACM CoNEXT 2019). Orlando, Florida, USA. December 2019
Why Online Services Should Pay You for Your Data? The Arguments for a Human-Centric Data Economy
IEEE Internet Computing. doi:10.1109/MIC.2019.2953764. Volume 23 , ISSN: 1089-7801. September 2019
Collaborative Consumption for Mobile Broadband: A Quantitative Study
The 10th ACM International Conference on emerging Networking EXperiments and Technologies (ACM CoNEXT 2014). Sydney, Australia. December 2014