Professor Peter Garraghan
Professor in Distributed SystemsResearch Overview
Machine Learning systems, AI Security, Sustainable computing, Distributed Systems
Web Links
Profile
Peter Garraghan is a Professor in Distributed Systems, EPSRC Fellow, and CEO of .
His research expertise is empirically studying and designing secure and sustainable systems at scale (AI/ML systems, Cloud datacentres, core network infrastructure). His research places strong emphasis on system experimentation within both laboratory and production environments.
Peter has published over 60 research articles, led software teams to create bleeding-edge technology, has industrial experience building large-scale production distributed systems, and has worked and collaborated internationally with the likes of Microsoft, Nvidia, BT, BBC, Alibaba Group, STFC, CONACYT, UK government, as well as the UK datacenter and defence industry.
He is the recipitent of the prestigious EPSRC Fellowship (2021 - 2026), and his research on AI/ML security and sustainable computing has featured in the media including the BBC and the Daily Mail.
Research Interests
- Distributed Systems, Deep Learning systems, Cloud datacenters
- AI/ML Security, Adversarial Machine Learning
- Sustainable & energy-efficient computing at scale
Qualifications
Ph.D. in Computer Science (University of Leeds, UK)
PhD Supervision Interests
I am happy to explore and supervise topics within distributed systems, AI/ML systems, AI security, and energy-aware computing. If you have your own ideas for a research project you would like to pursue, feel free to contact me to discuss further. I currently have multiple fully funded positions open.
01/01/2023 → 31/03/2027
Research
01/12/2022 → 31/05/2023
Research
16/11/2022 → 31/03/2023
Research
26/09/2022 → 28/02/2023
Research
01/06/2022 → 31/12/2024
Research
01/04/2022 → 31/07/2022
Research
01/10/2021 → 30/09/2025
Research
01/06/2021 → 31/05/2025
Research
01/10/2020 → 30/09/2025
Research
01/06/2018 → 15/07/2018
Research
01/09/2017 → 30/11/2019
Research
Security Lancaster, Security Lancaster (Secure Machine Learning and Intelligence), Security Lancaster (Systems Security)
Security Lancaster, Security Lancaster (Secure Machine Learning and Intelligence)
Security Lancaster, Security Lancaster (Distributed Systems), Security Lancaster (Systems Security)
Materials Science Institute PhD Student, MSF PhDs Cohort 2 (2019/20)
Security Lancaster, Security Lancaster (Secure Machine Learning and Intelligence)
- DSI - Foundations
- MSF Supervisors 2019/20
- SCC (Distributed Systems)
- Security Lancaster
- Security Lancaster (Distributed Systems)
- Security Lancaster (Secure Machine Learning and Intelligence)
- Security Lancaster (Software Security)