Professor Simon Cox

Head of Department

Research interests

  • My research focusses on computational tools, technologies and platforms and how they enable interdisciplinary problems to be solved in engineering and science.His team in the Computational Engineering and Design Group is applying and developing high performance and cloud computing in a variety of collaborative interdisciplinary computational science and engineering projects. These include:
  • High Performance and novel Computing SystemsCloud Computing and commercial distributed computing - which led to a spin out companyApplied computational algorithms Computational electromagnetics– which led to the formation of a spin-off company.New algorithms such as meshless methods and fast solvers.Data Management Simon is also Director of the Microsoft Institute for High Performance computing where he demonstrates why, where and how current and future Microsoft tools and technologies can be exploited to enable engineering and scientific research to deliver faster, cheaper and better results.

More research

Connect with Simon


Professor Simon J Cox is Professor of Computational Methods and Director of the Microsoft Institute for High Performance Computing within the Faculty of Engineering and Physical Sciences.

He has a doctorate in Electronics and Computer Science, first class degrees in Maths and Physics and has won over £30Mn in research & enterprise funding, and industrial sponsorship. He has published over 250 papers and regularly speaks at prestigious national and international conferences. His teaching focussed on courses related to computing, design, and enterprise in Engineering. He is a Microsoft Most Valuable Professional and has been annually awarded this international status since 2003.

Simon also works on a range of outreach projects and has run a “Supercomputing in Engineering Course” since 2005 with the Smallpeice trust. In Sept 2012 he built the world’s first Raspberry Pi and Lego based supercomputer.

"I am keen to “inspire the next generation of scientists and engineers to solve multidisciplinary problems using computational and experimental methods”