I am a Lecturer Understandable Autonomous Systems and a member of the Glasgow Systems Section (GLASS) of the School of Computing Science in the University of Glasgow. Previously I have lectured Software Engineering at the Department of Computing, School of Computing, Engineering and Built Environment, Glasgow Caledonian University and Computing Science at the Department of Computer Science, Heriot Watt University
My research is mainly focused around large scale, complex, information systems engineering. I have previously worked in GLASS as an RSE/SE Entreprise Fellow and on the AnyScale Applications EPSRC funded project under the supervision of Dr Jeremy Singer.
During my PhD at the University of Strathclyde I have investigated the use of commodity hardware, wireless communications and edge processing in Condition Monitoring of Industrial machines particularly on Ship applications. My work was developed over identified industry needs to support higher incorporation of technology in the domain.
Through work experience I have also used data collection and processing for large scale applications in industrial building utility monitoring. Furthermore, I have worked on several embedded software applications such as Cube satellites. I have worked on medical devices, where I am currently a director of Clydescope Health Ltd.
Previously, acquired my MSc in 2008 on Biomedical Engineering at the University of Strathclyde and my Bachelor degree is in Computer Science from the University of Crete where I had worked at the FORTH instituted of research at the Computer Architecture and VLSI Systems Laboratory during my undergraduate studies.
My research interests are predominantly application driven large scale information system architecture designs for the collection and processing of large amounts of data and the problems these introduce to scalability and reliability. Distributed computing and edge processing are able to address much of these issues.
- Large scale, complex, information systems engineering
- Autonomous and Reliable Distributed systems
- Edge computing aspects of:
- Machine learning and data fusion applications
- Heterogeneous architectures and autonomous systems