Dr Rizos Sakellariou is (full) Professor, holding a Chair in Computer Science, a member of the academic staff of the Department of Computer Science of the University of Manchester, where he teaches and leads a Research Laboratory carrying out research in the broad area of Software for Parallel, Distributed and Large-Scale Systems.
[Prior to his current role he was Lecturer, Senior Lecturer, Reader: if you are not familiar with UK academia check this)]

Dr Sakellariou has been into Computer Science for nearly 40 years, having a huge experience in the field. During this time, he has been a programmer, a researcher, a consultant, an educator, a senior academic.

For a full list of publications the best link is my google scholar profile

Current research interests focus on software for any large-scale and/or distributed computing environment (from multi-/many-core to Clouds/Fog/Edge/IoT), especially in relation to resource management with multiple constraints and diverse optimization objectives and trade-offs. Dr Sakellariou would be happy to discuss research proposals or supervise PhD projects in relation to software for large-scale computation/data/systems, including scientific workflows, Cloud/Fog/Edge computing, Internet of Things, Big Data, all sorts of scheduling, as well as social network analysis.

In the by now distant past, as a postdoc, Rizos was a member of the dHPF Compiler Group in the Department of Computer Science, Rice University, where he was involved with the DARPA-funded project POEMS. He has also been a Visiting Assistant Professor with the Department of Computer Science, University of Cyprus, whereas he has also had a brief spell of experience with the software industry, looong time ago when people were using COBOL, Pascal and the like :-)

A limited number of PhD studentships for home students are currently available from the School for a September 2024 start
I am keen to supervise projects in a number of areas related to large-scale software including: high-performance (also distributed, cloud, fog, edge, heterogeneous) computing, scheduling, energy efficient computing, scientific workflows, managing large-scale computations/data, social network analysis.
Feel free to suggest a research topic along these lines!
(if you are looking for a PhD topic and supervisor you may want to read this - read these essential PhD tips) .