Distributed systems, Cloud computing, energy & sustainability, Machine Learning systems, systems security, resource scheduling, dependability.

(October 2020): Commencing June 2021 onwards, I will have multiple open positions in the following areas:

• PhD students: Sustainable ML systems, energy-adaptive network infrastructure, secure ML infrastructure.
• Postdoctoral researchers: Massive-scale distributed systems, ICT sustainability & energy-efficiency, cluster schedulers, ML-driven systems.

For serious enquires, kindly contact me via email to explore further.

I am happy to explore and supervise topics within distributed systems, cloud computing, energy, resource scheduling, security, and dependability research. If you have your own ideas for a research project you would like to pursue, feel free to contact me to discuss further.

Evolving Distributed Systems Laboratory

Peter Garraghan is a Lecturer (Assistant Professor) in Computer Science and has published over 50 peer-reviewed articles within the field of distributed systems. His research expertise is empirically studying and improving the performance, resilience, and sustainability of massive-scale distributed systems (Cloud computing, Machine Learning systems, Datacentres) in the face of societal and environmental change.

Peter has industrial experience building large-scale production distributed systems, and has worked and collaborated internationally with the likes of Alibaba Group, Microsoft, BT, STFC, CONACYT, and the UK datacenter and IoT industry.

• Distributed Systems, Cloud computing, Machine Learning systems
• Energy-efficient & sustainable computing at scale
• CPU & GPU cluster resource scheduling
• Fault tolerance & recovery
• Systems security

Ph.D. in Computer Science (University of Leeds, UK)