Dr Lito Michala
- Lecturer (Computing Science)
I am currently a lecturer within the school of computing science. I am a member of the Glasgow Systems Section (GLASS), a member of the ACM, and a mentor under the Athena SWAN Mentorship Scheme. I have previously worked as an RSE/SE Enterprise Fellow and as a Researcher on the AnyScale Applications EPSRC funded project under the supervision of Dr Jeremy Singer and Prof Phil Trinder.
During my PhD at the University of Strathclyde, I investigated the use of commodity hardware, wireless communications and edge processing in Condition Monitoring of Industrial machines particularly on Ship applications. 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. Moreover, I have worked on medical devices for monitoring of health and delivery of treatment for diabetic patients, where as a director of Clydescope Health Ltd. Previously, I acquired my MSc in 2008 on Biomedical Engineering at the University of Strathclyde and my Bachelor degree in 2007 in Computer Science from the University of Crete were I had worked at the FORTH instituted of research at the Computer Architecture and VLSI Systems Laboratory during my undergraduate thesis.
You can find more information on my personal website.
As part of the Glasgow Systems Section (GLASS) my interests focus on:
- Large scale, complex, cyber-physical systems engineering
- Machine learning and data fusion applications with a focus on federated learning
- Edge computing
- Distributed systems
- Heterogeneous architectures and autonomous systems
For further information on current research, interests and publications please follow the link to my personal web page
Guo, X. et al. (2021) Smartphone-based DNA diagnostics for malaria detection using deep learning for local decision support and blockchain technology for security. Nature Electronics, 4(8), pp. 615-624. (doi: 10.1038/s41928-021-00612-x)
Cano, J. , White, D. R., Bordallo, A., McCreesh, C. , Michala, A. L. , Singer, J. and Nagarajan, V. (2018) Solving the task variant allocation problem in distributed robotics. Autonomous Robots, 42(7), pp. 1477-1495. (doi: 10.1007/s10514-018-9742-5)
Lazakis, I., Michala, A. L. and Turan, O. (2016) The European Commission's role in marine materials, equipment and components mutual recognition certification. Journal of Contemporary European Research, 12(3), pp. 754-772.
Xu, R. (C.), Michala, A. L. and Trinder, P. (2022) CAEFL: composable and environment aware federated learning models. In: Erlang 2022: Proceedings of the 21st ACM SIGPLAN International Workshop on Erlang, Ljubljana, Slovenia, 11-16 Sep 2022, pp. 9-20. ISBN 9781450394352 (doi: 10.1145/3546186.3549927)
Aljabri, J., Michala, A. L. and Singer, J. (2022) ELSA: a keyword-based searchable encryption for cloud-edge assisted industrial internet of things. In: 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022), Taormina (Messina), Italy, 16-19 May 2022, ISBN 9781665499569 (doi: 10.1109/CCGrid54584.2022.00035)
- Naila, *
GDPR-Compliance Threat Modelling Technique for Autonomous Car Systems
Honours Level courses:
- Operating Systems (H) 2019-present
- Advanced Systems Programing (H/M) 2022-Present
- Systems Programming (H) 2019-2021
- Computing Systems (level 1) 2019-2020
- CS class of Summer School 2017 - present
- Operating Systems
- Computing Systems
Luke Foster Prize for the Best JCER Article of 2016 runner-up for the article "The European Commission’s role in marine materials, equipment and components certification mutualisation"
Recipient of the Best Poster, First Place in the SICSA event of the 5th IEEE Conference on Dependable and Secure Computing (DSC 2022) for the article "Aljabri, J., Michala, A. L., and Singer, J. (2022). ELSA: Edge Lightweight Search- able Attribute-based encryption Multi-keyword Scalability"