Pervasive & Distributed Intelligence
Essence (Essential Science) Research Lab is affiliated with the Knowledge and Data Engineering Systems within the Section: Information, Data and Analysis (IDA), School of Computing Science. The lab brings together the fundamental research areas:
(i) Predictive Computing, (ii) Network-centric Information Processing, and (iii) Distributed Intelligence.
Essence lab's strength lies in the spectrum of theoretical backgrounds and applications ranging from Context-awareness, Networked Intelligent Systems, to Distributed Processing & Machine Learning. Essence focuses on building innovative context-aware networked data systems and applications. Essence Lab undertakes research ubder the School's themes: Autonomous Systems and Data Science.
Essence 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 in a Nutshell
- Fund:CLDS (UK EPSRC)
- Distributed Machine Learning; Optimal Stopping Theory. [Presentations & Tutorials]
- Stochastic Optimization; Distributed Decision Making. [Presentations & Tutorials]
- Query-driven Analytics; Exploratory Analytics; Learning Automata. [Presentations & Tutorials]
- Federated/Local Machine Learning; Adaptive & Control Theory; Contextual Information Processing. [Presentations & Tutorials]
Check for Postgraduate Research & PhD Opportunities. Contact: Dr Christos Anagnostopoulos