MetaLab is a group of scientists who explore the properties of hardware and software systems at a meta level. With modern computer systems growing in complexity far beyond the ability of humans to reason about them, this means building machine-based capabilities to model, reason about and control these systems. Our group works on this problem in many different dimensions and across many application domains, ultimately aiming to build a complete fundamental understanding of how we can express and reason about all forms of computational system at a higher level. Members of the group have expertise in research areas spanning cloud computing, datacenters, many-core systems, networking, IoTs, middleware, compilers, and runtime optimisation.
Want to join us? Prospective students click here.
Metalab researchers organised a xmas lunch at the WaterWitch restaurant
The metalab researchers organised a xmas lunch at the WaterWitch. Everybody enjoyed networking over the food during this festive season.
December 9, 2016Read more.
MetaLab researcher presents self-assembling software at USENIX OSDI 2016
Dr. Barry Porter, a lecturer in MetaLab, presented our recent research on emergent, self-assembling and self-learning software systems at the
November 10, 2016Read more.
MetaLab 2016 Welcome Event
Metalab held a successful event to welcome new members of the group. Researchers from the group gave presentation about their work.
October 20, 2016Read more.
Metalab hosted seminar by Dr. Pavlos Petoumenos
The Metalab reading group hosted a seminar by Dr Pavlos Petoumenos from University of Edinburgh on 18th of October, 2016.
October 18, 2016Read more.
MetaLab researchers present emergent software at SASO
22 Roberto Rodrigues Filho, a PhD student in MetaLab, presented our recent research on emergent software systems at the IEEE
September 26, 2016Read more.
Prestigious fellowship brings environmental science into the digital age
A Lancaster University professor has been awarded a prestigious senior fellowship to bring about a step change in data-driven environmental
September 24, 2016Read more.