
About
Panagiotis Liakos is a Researcher at the University of Athens (Department of Informatics and Telecommunications), specializing in graph mining for large-scale networks. He holds a Ph.D. in Distributed and Streaming Graph Processing (2015-2018), an M.Sc. in Computer Systems Technology (2008-2011), and a Ptychion in Informatics and Telecommunications (2004-2008), all from the University of Athens. His research focuses on developing scalable algorithms for graph processing, compression, and community detection in dynamic networks.
Research interests include:
- Graph mining: Community detection, temporal graph analysis
- Large-scale systems: Distributed processing, cloud-based solutions
- Data optimization: Lossless compression, storage efficiency
- Stream processing: Real-time network analysis, dynamic algorithms
His publications demonstrate strong focus on graph algorithms and data efficiency, with recent work on time-series compression (Chimp, Sim-Piece) and temporal graph processing. He has received multiple awards including:
- IEEE Big Data Travel Grants (2016, 2017)
- SIGIR Travel Grant (2016)
- WSDM Data Challenge 1st Place (2013)
- Greek State Scholarship (2006-2007)
He has supervised 9 Master's students on topics spanning recommendation systems, MongoDB optimization, sports analytics, and traffic modeling. Contributed to European projects including GALENA, Interact, EarthServer, iMarine, and PERNASVIP. Leads the Hive Server project for distributed services and teaches Large Scale Data Management.
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