Projects per year
Personal profile
SUMMARY of research interests (100 words)
Machine Learning systems, AI Security, Sustainable computing, Distributed Systems
Web Links
Profile
06/24 - I have multiple PhD positions open in cyber security for AI/GenAI. If interested, kindly reach out to me.
Peter Garraghan is a Professor in Distributed Systems, EPSRC Fellow, and CEO of Mindgard.
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)
External positions
CEO, Mindgard
22/05/2022 → …
EPSRC Fellow, Engineering and Physical Sciences Research Council
06/2021 → 06/2025
Collaborations and top research areas from the last five years
-
SL: National Edge AI Hub for Real Data: Edge Intelligence for Cyber-disturbances and Data Quality
Suri, N. (Co-Investigator), Suri, N. (Co-Investigator) & Garraghan, P. (Principal Investigator)
Engineering and Physical Sciences Research Council
1/02/24 → 31/01/29
Project: Research
-
HTTP version 3 for unicast delivery of video services over the Internet
Race, N. (Principal Investigator) & Garraghan, P. (Co-Investigator)
1/01/23 → 31/03/27
Project: Research
-
Reducing the Global ICT Footprint via Self-adaptive Large-scale ICT Systems
Garraghan, P. (Principal Investigator)
Engineering and Physical Sciences Research Council
1/06/21 → 31/05/26
Project: Research
-
Future Places: A Digital Economy Centre on Understanding Place Through Pervasive Computing
Sas, C. (Co-Investigator), Short, R. (Co-Investigator), Gere, C. (Co-Investigator), Knowles, B. (Co-Investigator), Davies, N. (Co-Investigator), Leslie, D. (Co-Investigator), Knight, J. (Co-Investigator), Leeson, A. (Co-Investigator), Harper, R. (Principal Investigator), Cruickshank, L. (Co-Investigator), Davies, N. (Co-Investigator), Race, N. (Co-Investigator), Friday, A. (Co-Investigator), Houben, S. (Co-Investigator), Harper, R. (Principal Investigator), Blair, G. (Co-Investigator), Rouncefield, M. (Co-Investigator) & Garraghan, P. (Co-Investigator)
Engineering and Physical Sciences Research Council
1/10/20 → 28/02/26
Project: Research
-
Uncovering Mitigation Effectiveness for Cyber Attacks Against AI Systems
Garraghan, P. (Principal Investigator)
2/01/25 → 31/03/25
Project: Research
-
Novel Strategies for Data Centre Waste Heat Use
Terenius, P., Garraghan, P. & Harper, R. H. R., 12/03/2025, In: AIP Conference Proceedings. 3113, 1, 6 p., 020035.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open AccessFile98 Downloads (Pure) -
Energy-adaptive Network Switching via Intra-device Scaling
Hodkin, M., Krug, L. & Garraghan, P., 17/01/2024, (Accepted/In press) Proceedings of the IEEE International Conference on Communications: Scaling the Peaks of Global Communications. IEEE, 6 p.Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Open AccessFile96 Downloads (Pure) -
A material social view on data center waste heat: Novel uses and metrics
Terenius, P., Garraghan, P. & Harper, R., 25/01/2023, In: Frontiers in Sustainability. 3, p. 1-22 22 p., 1008583.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access -
Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization
Trawicki, S., Hackett, W., Birch, L., Suri, N. & Garraghan, P., 20/10/2023. 2 p.Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Open AccessFile44 Downloads (Pure) -
DOPpler: Parallel Measurement Infrastructure for Auto-tuning Deep Learning Tensor Programs
Borowiec, D., Yeung, G.-F., Friday, A., Harper, R. H. R. & Garraghan, P., 31/07/2023, In: IEEE Transactions on Parallel and Distributed Systems. 34, 7, p. 2208-2220 13 p.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open AccessFile98 Downloads (Pure)
Prizes
-
IEEE JCC'21 Best Paper Award
Lindsay, D. (Recipient) & Garraghan, P. (Recipient), 26/08/2021
Prize: Prize (including medals and awards)
Press/Media
-
Data centers are energy hogs. Could they help power the grid?
11/01/21
1 item of Media coverage
Press/Media: Research
-
Revealed: How streaming a season of your favourite Netflix show could 'produce more pollution than driving from Birmingham to Manchester’
8/03/20
1 item of Media coverage
Press/Media: Newspaper Article
-
Lancaster University begins datacentre research to establish cloud latency causes
14/06/17
1 item of Media coverage
Press/Media: Research