Pavlos Sermpezis

I am a Postdoctoral Researcher at Datalab at the Informatics Dept., Aristotle University of Thessaloniki, Greece.

Before that I was for 5 years with the INSPIRE group, at the Institute of Computer Science (ICS) of the Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece. I received a PhD in Computer Science and Networks in 2015 from EURECOM, Sophia-Antipolis, France, and a Diploma in Electrical and Computer Engineering, at the Aristotle University of Thessaloniki, in 2011.

Research Interests

My main research interests are on data science and computer networking -from mobile networks to the Internet's backbone- with a few bits and pieces of social networks and recommendations systems. I study them both from a theoretical (modeling, analysis, optimization) and applied (system design, measurements, real experiments) point of view.

!!! NEWS !!!

  • [June-2022] I participate in the TPC of the ACM WSDM 2023 (Web Search and Data Mining) conference [link]

  • [June-2022] Invited speaker @ PhD summer school organized by the SEMANTIC ITN project, where I talked about "Data science for network monitoring: challenges, practical problems, and potential solutions"

  • [Jan-2022] Our paper has been accepted for publication in the ACM Transactions on the Web (TWEB)!

Dimitra Karanatsiou, Pavlos Sermpezis, Jon Gruda, Konstantinos Kafetsios, Ilias Dimitriadis, Athena Vakali, "My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks", ACM Transactions on the Web (TWEB), accepted for publication, Jan. 2022.

  • [Jan-2022] I participate in the TPC of IEEE Globecom 2022 [link] (Mobile and Wireless Networks symposium)

  • [Oct-2021] Our project "AI4NetMon" (AI methods and tools for improving network monitoring practices), funded by RIPE NCC, has officially started!
    I'm happy to be the PI of such an interesting industry-funded project, and excited to investigate how to identify and fix bias in Internet monitoring & measurements using network data & AI. Learn more about the project