Pervasive Data Science & Distributed Computing
Essence Research Lab is affiliated with the Knowledge and Data Engineering Systems Group of the Research Section: Information, Data and Analysis (IDA), School of Computing Science. Essence brings together the fundamental research areas of Distributed Data Systems and Pervasive Data Science at the Edge.
Essence's strength lies in the spectrum of theoretical backgrounds and applications ranging from context-awareness and networked data systems, to distributed processing & machine learning at the Edge. Essence focuses on building innovative pervasive data management systems and applications. Essence undertakes research ubder the School's theme: Understandable Autonomous Systems.
Lab's members collaborate with the Inference, Dynamics and Interaction (IDI) as a source of Machine Learning expertise, the Networked Systems Research Laboratory (Netlab) as a source of Networking expertise, and the Intelligent Pervasive Systems (iPRISM) as a source of Intelligent Systems expertise.
Essence's Google Maps link
Essence in a Nutshell
- Model re-usability at the edge; query-driven analytics; exploratory analysis.[Presentations & Tutorials]
- Contextual data management; distributed decision making; adaptive information processing; optimal stopping theory. [Presentations & Tutorials]
- Distributed machine learning; federated/local learning; combinatorial multi-armed bandit. [Presentations & Tutorials]
Check for Postgraduate Research & PhD Opportunities. Contact: Dr Christos (Chris) Anagnostopoulos