Dr Louise Knight
Lecturer
Director of Recruitment and Admissions
School of Computer Science and Informatics
Overview
I am a lecturer at the National Software Academy, School of Computer Science & Informatics, teaching both undergraduate and postgraduate modules in Java and performance & scalability. Prior to this, I was a Research Assistant on the EU Horizon 2020-funded SWITCH project, investigating how the SWITCH workbench could be adapted to support CUDA through experiments on Amazon Web Services.
My PhD project was in the interdisciplinary field of Bioinformatics. I implemented methods for finding molecular co-evolution on CUDA-enabled graphics cards, allowing these methods to be used on the entire human proteome for the first time.
Publication
2019
- Stefanic, P., Cigale, M., Jones, A. and Knight, L. 2019. Support for full life cycle cloud-native application management: Dynamic TOSCA and SWITCH IDE. Future Generation Computer Systems 101, pp. 975-982. (10.1016/j.future.2019.07.027)
- Knight, L., Stefanic, P., Cigale, M., Jones, A. and Taylor, I. 2019. Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance. Future Generation Computer Systems 100, pp. 542-556. (10.1016/j.future.2019.05.039)
- Stefanic, P. et al. 2019. SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications. Future Generation Computer Systems 99, pp. 197-212. (10.1016/j.future.2019.04.008)
- Stefanic, P., Cigale, M., Jones, A. C., Knight, L., Rogers, D., Quevedo Fernandez, F. and Taylor, I. 2019. Application-infrastructure co-programming: managing the entire complex application lifecycle. Presented at: 10th International Workshop on Science Gateways 2018, Edinburgh, Scotland, 13-15 June 2018 Presented at Atkinson, M. and Gesing, S. eds., Vol. 2357. CEUR Workshop Proceedings
2018
- Knight, L., Stefanic, P., Cigale, M., Jones, A. C. and Taylor, I. J. 2018. Towards a methodology for creating time-critical, cloud-based CUDA applications. Presented at: IT4RIs 18: Interoperable infrastructures for interdisciplinary big data sciences- Time critical applications and infrastructure optimization, Amsterdam, The Netherlands, 18 January 2018. , (10.5281/zenodo.1162877)
- Stefanic, P., Cigale, M., Fernandez, F. Q., Rogers, D., Knight, L., Jones, A. C. and Taylor, I. 2018. TOSCA-based SWITCH workbench for application composition and Infrastructure planning of time-critical applications. Presented at: The 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18), Amsterdam, The Netherlands, 18 January 2018.
2017
- Knight, L. 2017. Co-evolving protein sites: their identification using novel, highly-parallel algorithms, and their use in classifying hazardous genetic mutations. PhD Thesis, Cardiff University.
Articles
- Stefanic, P., Cigale, M., Jones, A. and Knight, L. 2019. Support for full life cycle cloud-native application management: Dynamic TOSCA and SWITCH IDE. Future Generation Computer Systems 101, pp. 975-982. (10.1016/j.future.2019.07.027)
- Knight, L., Stefanic, P., Cigale, M., Jones, A. and Taylor, I. 2019. Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance. Future Generation Computer Systems 100, pp. 542-556. (10.1016/j.future.2019.05.039)
- Stefanic, P. et al. 2019. SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications. Future Generation Computer Systems 99, pp. 197-212. (10.1016/j.future.2019.04.008)
Conferences
- Stefanic, P., Cigale, M., Jones, A. C., Knight, L., Rogers, D., Quevedo Fernandez, F. and Taylor, I. 2019. Application-infrastructure co-programming: managing the entire complex application lifecycle. Presented at: 10th International Workshop on Science Gateways 2018, Edinburgh, Scotland, 13-15 June 2018 Presented at Atkinson, M. and Gesing, S. eds., Vol. 2357. CEUR Workshop Proceedings
- Knight, L., Stefanic, P., Cigale, M., Jones, A. C. and Taylor, I. J. 2018. Towards a methodology for creating time-critical, cloud-based CUDA applications. Presented at: IT4RIs 18: Interoperable infrastructures for interdisciplinary big data sciences- Time critical applications and infrastructure optimization, Amsterdam, The Netherlands, 18 January 2018. , (10.5281/zenodo.1162877)
- Stefanic, P., Cigale, M., Fernandez, F. Q., Rogers, D., Knight, L., Jones, A. C. and Taylor, I. 2018. TOSCA-based SWITCH workbench for application composition and Infrastructure planning of time-critical applications. Presented at: The 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18), Amsterdam, The Netherlands, 18 January 2018.
Thesis
- Knight, L. 2017. Co-evolving protein sites: their identification using novel, highly-parallel algorithms, and their use in classifying hazardous genetic mutations. PhD Thesis, Cardiff University.
Research
My research interests are mainly in high performance computing (HPC), and particularly in the use of CUDA-enabled graphics cards. I have also done research into the use of CUDA with Cloud-based technologies.
Teaching
I am module leader for the following modules:
- Performance and Scalability (2nd year BSc)
- Programming Principles and Practice (MSc)
I am also a Personal Tutor to BSc and MSc students, supervise final year BSc and MSc dissertation projects as well as Year in Industry placement students, and am Director of Recruitment & Admissions for COMSC.
Biography
I have been a Lecturer in the School of Computer Science and Informatics since 2018, teaching in the National Software Academy as part of our BSc and MSc programmes. Prior to this, I worked for a few months as a Teacher at Cardiff University, which involved some lecturing (mostly first-year BSc Java) and also marking courseworks and exams.
After completing my PhD in Cardiff in 2017, I worked briefly as a Research Assistant on the EU Horizon 2020-funded SWITCH project, doing experiments involving getting the CUDA code I wrote during my PhD to work on Amazon Web Services (AWS) instances, and investigating how the SWITCH workbench could support CUDA in the future. My PhD project was more broadly a Bioinformatics project, as not only did I implement methods for solving Biological problems on CUDA-enabled graphics cards, but I also analysed the results I obtained from a Medical perspective. My interest in this fascinating area of Computer Science stems from my BSc study, also at Cardiff.
Professional memberships
Fellow of Advance HE (formerly HEA) FHEA
Academic positions
- 2018-present: Lecturer, Cardiff University
- 2018: Teacher, Cardiff University
- 2017-2018: Casual Research Assistant, Cardiff University
- 2013-2017: Demonstrator (as part of PhD)
Contact Details
+44 29225 10951
Abacws, Room 2.61, Senghennydd Road, Cathays, Cardiff, CF24 4AG