The Alan Turing Institute - Post-Doctoral Enrichment Awards

Dr Koorosh Aslansefat K.Aslansefat@hull.ac.uk
Lecturer/Assistant Professor

Professor Yiannis Papadopoulos Y.I.Papadopoulos@hull.ac.uk
Professor

H2020 - ICT - DEIS Feb 1, 2017 - Jan 31, 2020
Cyber-Physical-Systems harbor the potential for vast economic and societal impact in all major application domains, however in case of failure this may lead to catastrophic results for industry and society. Thus, ensuring the dependability of such sy... Read More about H2020 - ICT - DEIS.

DREAM: Data-driven Reliability-centered Evolutionary Asset Manager Sep 1, 2018 - Aug 31, 2021
Costs related to maintenance of wind farm assets, including wind turbines, subsea infrastructure and grid, can be significantly reduced through condition monitoring, data analytics and advanced health management that addresses early fault diagnosis,... Read More about DREAM: Data-driven Reliability-centered Evolutionary Asset Manager.

Secure and Safe Multi-Robot Systems Jan 1, 2021 - Dec 31, 2023
European strategy and research roadmap documents emphasise the significant societal and economic benefits coming from robotic and autonomous systems. Multi-Robot Systems (MRS) comprise distributed and interconnected robotic teams that can carry out t... Read More about Secure and Safe Multi-Robot Systems.

KTP - Connexin Oct 1, 2023 - Sep 30, 2025
This project works with broadband and IoT business Connexin on a novel speech-to-text platform that integrates sensor networks for assisted living into a smart speaker for adult social care.

National Edge AI Hub for Real Data: Edge Intelligence for Cyber-disturbances and Data Quality Feb 1, 2024 - Jan 31, 2029
Artificial Intelligence (AI) has grown more pervasive with the advent of Edge Computing (EC) and the proliferation of
gateways and base stations at the network edge and the sensors and actuators needed to run algorithms close to
where data is gener... Read More about National Edge AI Hub for Real Data: Edge Intelligence for Cyber-disturbances and Data Quality.