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.
Academic Staff & Members
News & Events
09 MarThe aim of this workshop is to showcase and promote research on data science, machine learning and artificial intelligence in geotechnical engineering in the UK It will be attended by academic researchers and geotechnical engineers. This workshop is supported by the Turing Network Funding of the Alan Turing Institute and EPSRC IAA.
Special Issue on Pervasive Edge ComputingSpecial Issue of Pervasive Edge Computing: IoT-Edge Convergence is now open; Discovery Internet of Things, Springer.
University of Lleida TalkTalk on 'Knowledge Engineering at the Edge'
IEEE DASC/ICDE 2023Our paper 'Query-driven Edge Node Selection in Distributed Learning Environments' is accepted in the IEEE DASC/ICDE 2023 Conference (3-7/4 Anaheim, CA, US).
Open PhD Calls (Deadline 31 JAN 2023)Open 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