Knowledge & Data Engineering Systems
The Knowledge & Data Engineering Systems (KDES) research group is part of the Information, Data and Analysis (IDA) Section. KDES brings together the fundamental research areas of Distributed Data Systems, Data Engineering, and Data Science.
KDES's strength lies in the spectrum of theoretical backgrounds and applications ranging from large-scale Distributed Computing Systems and Information Systems, to Edge Computing and Distributed Machine Learning/AI, and focuses on building innovative distributed data science and engineering systems.
News & Events
28 NovOpen PhD Calls on Distributed Learning Systems, Distributed AI/Federated Learning, Resilient Machine Learning. Funding opportunities deadline: 31 JAN 2023-check here: https://lnkd.in/eraqDpZD
18 NovDr Anagnostopoulos has been appointed as Associate Editor of the section: Artificial Intelligence of Things, in Frontiers in the Internet of Things
07 OctThe programme of EdgeAI-IoT 2022 in conjunction with 8th IEEE WFIoT2022 is now available!
26 SepDVF Talk on: Data-Aware Task-offloading Decision Making at the Network Edge by Dr Kolomvatsos, School of Computing Science, University of Glasgow
14 OctOur IEEE Transactions on Network and Service Management article: 'A Proactive Statistical Model Supporting Services and Tasks Management in Pervasive Applications' by K Kolomvatsos and C Anagnostopoulos, has just been published on IEEE Xplore.