High impact research
Academic staff within the Department consistently produce high impact research spanning several areas of Computer Science - including Algorithms and Complexity, Computer Vision and Image Processing, and High Performance Computing and Big Data Processing - according to REF2014, 85% of our research being recognised as internationally excellent or world-leading.
We actively work with industry (e.g. Jaguar Landrover, Renault, IBM, P&G) and government departments (e.g. MoD, Home Office, Department of Transport). Research-led teaching is a key strength of the Department, who came 4th in the Complete University Guide 2018. The Department has an exceptionally strong External Advisory Board, consisting of high-profile industrialists and academics.
The Department is rapidly expanding – it will double in size over the next 10 years. The new building for the department (joint with Mathematical Sciences) is planned to be ready for 2021.
Three research groups will be based on the current research strengths in (1) algorithms and complexity, (2) computer vision, imaging, and visualisation and (3) high-performance computing, cloud computing, and simulation.The last two groups will be expanded, a new group will be formed in a strategic area favoured in terms of research funding, capacity for inter-disciplinary research and capacity for generating impact.
We will expand our involvement in research funding initiatives and joint projects with the top research groups, industry and government agencies on all levels: regional, national, and international, which will naturally lead to societal and commercial impact. We will maintain our high student satisfaction scores and employability rate, and hence our high position in league tables.
Our department is ranked 4th in the UK
Complete University Guide 2018
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The Department has frequently been one of the major recipients of funded research under the Mathematics of Computing theme of the UK EPSRC, its Algorithms and Complexity group currently leading the ALGOUK network of algorithms research in the UK. The Department’s applied research is closely related to two of the “eight great technologies”, namely Robotics and Autonomous Systems & Big Data and Data Sensitive Science, as recently identified by the UK Government.
The Department currently has interdisciplinary links with many other departments in Durham (e.g. Mathematics, Physics, Biology, Engineering, Archaeology, Psychology and the Durham Business School). The Department has extensive links with industry (e.g. Jaguar Land Rover, Boeing, Proctor and Gamble) and government (e.g. Ministry of Defence, Home Office and Department of Transport).
Some of the high-profile projects led by the department (in collaboration with the UK government and many industrial partners) include development of image processing techniques for the next generation intelligent baggage security scanning, autonomous activity sensing (in infrared video imagery), and in 3D scene reconstruction and understanding for automotive and robotic sensing.
The ExaHyPe project, an EU-funded project in which Durham participates along with 7 other European institutions, aims to develop an An Exascale Hyperbolic PDE Engine – exascale software to compute accurate weather forecast, complex earthquake physics, hematic flows in patients, or the most catastrophic events in the universe.
The department has a visualisation lab where much of the research related to Computer Vision and Image Processing is conducted. Two specific examples of research directions here include research in multi-modal image understanding, automotive vision, visual surveillance, and autonomous robotic sensing and in bioimaging, i.e. image processing, data mining, database and visualization techniques to extract, compare, search and manage the biological knowledge.
Our research in High Performance Computing investigates innovative algorithms, algorithmic paradigms, patterns, and methodologies to meet next generation's supercomputing challenges. It benefits from Durham's High Performance Computing Service and its supercomputers. We hosts experimental compute nodes, e.g. phi1@durham.