Pavlos Sermpezis
Scholar

Pavlos Sermpezis

Google Scholar ID: OWCsHVoAAAAJ
Measurement Lab (M-Lab)
Data ScienceInternet measurementsNetwork modelingMobile networks
Citations & Impact
All-time
Citations
914
 
H-index
17
 
i10-index
25
 
Publications
20
 
Co-authors
31
list available
Contact
Resume (English only)
Academic Achievements
  • - Participated in the TPC of the ACM WSDM 2024 conference.
  • - Published a preprint on analyzing the Greek wiretapping scandal as part of a data journalism project.
  • - A paper titled 'Uncovering Bias in Personal Informatics' was accepted for publication in the ACM IMWUT journal and will be presented at UbiComp 2023.
  • - A paper on 'Bias in Internet Measurement Platforms' was accepted by the IEEE/IFIP Network Traffic Measurement and Analysis Conference (TMA).
  • - Published a review article on self-tracking technology for mHealth in the ACM Transactions on Computing for Healthcare.
  • - A demo paper about PyPoll, a Python library for automating mining of networks, discussions, and polarization on Twitter, was accepted for the ACM Web Conference (WWW).
  • - The AI4NetMon 2.0 project, where he serves as PI, received funding from RIPE NCC Community Projects.
  • - Two papers on Graph Neural Networks were published: one at ACM CoNEXT (GNNet workshop) and another at IEEE/WIC/ACM WI-IAT conference.
Research Experience
  • - Worked with the INSPIRE group at the Institute of Computer Science (ICS) of FORTH, Heraklion, Greece, for 5 years.
  • - Currently a researcher at Datalab, Informatics Dept., Aristotle University of Thessaloniki, Greece.
Education
  • Received a PhD in Computer Science and Networks from EURECOM, Sophia-Antipolis, France, in 2015; Diploma in Electrical and Computer Engineering from Aristotle University of Thessaloniki, Greece, in 2011.
Background
  • Currently a Postdoctoral Researcher at Datalab, Informatics Dept., Aristotle University of Thessaloniki, Greece. Main research interests are in data science and computer networking (from mobile networks to the Internet's backbone), with elements of social networks and recommendation systems.