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.
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 !!!
[July-2023] I participate in the TPC of the ACM WSDM 2024 (Web Search and Data Mining) conference [link]
[July-2023] Check our preprint on analysing the Greek wiretapping scandal - a data journalism project in collaboration with iMEdD.
Ilias Dimitriadis, Dimitrios P. Giakatos, Stelios Karamanidis, Pavlos Sermpezis, Kelly Kiki, Athena Vakali, "Analyzing large scale political discussions on Twitter: the use case of the Greek wiretapping scandal (# ypoklopes)", arxiv, 2023
[July-2023] Our paper has been accepted for publication in the ACM IMWUT journal (and to be presented in the main track of UbiComp 2023 conference)
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, R Baeza-Yates, "Uncovering Bias in Personal Informatics", ACM IMWUT / UbiComp 2023
[May-2023] Our paper has been accepted to IEEE/IFIP TMA conference
Pavlos Sermpezis, Lars Prehn, Sofia Kostoglou, Marcel Flores, Athena Vakali, Emile Aben, "Bias in Internet Measurement Platforms", IEEE/IFIP Network Traffic Measurement and Analysis Conference (TMA), 2023
[Apr-2023] Our paper has been accepted for publication in the ACM Transactions on Computing for Healthcare
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, "14 Years of Self-Tracking Technology for mHealth-Literature Review: Lessons Learnt and the PAST SELF Framework", ACM Transactions on Computing for Healthcare, 2023
[Feb-2023] Our paper has been accepted for publication in ACM Web Conference (WWW) - demo paper
Dimitrios Panteleimon Giakatos, Pavlos Sermpezis, Athena Vakali, "PyPoll: A python library automating mining of networks, discussions and polarization on Twitter", ACM Web Conference (WWW) - demo paper, 2023
[Nov-2022] We are happy to announce that our project AI4NetMon 2.0 has been selected to be funded by the RIPE NCC Community Projects!
Find out more about the industry-funded AI4NetMon project (in which I am PI) and our efforts on identifying and fixing bias in Internet monitoring & measurements using network data & AI: https://ai4netmon.csd.auth.gr/
A list of interactive online tools (outcomes of the AI4NetMon 1.0 project) that present the bias in Internet measurement infrastructure and provide recommendations for improving them is available here: https://observablehq.com/collection/@pavlos/ai4netmon
[Nov-2022] Find out our two upcoming papers in the area of Graph Neural Networks
[Oct-2022] Invited speaker @ RIPE85 meeting in Belgrade, where I talked about "Unbiasing Internet Measurements: The Findings of the AI4NetMon Project" [slides/video]
[Oct-2022] We have been invited at the International Journalism Week, organized by iMEdD, to give a talk about our Datalab's tools on Twitter analytics: "In Twitter we trust? Bot detection and advanced analytics on Twitter" [YouTube video]