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.
Autonomous robotic platforms allow detailed observations to be made over large areas in the ocean. For these systems to be useful, it is necessary to develop advanced sensing capabilities and methods to allow the robots to safely navigate and accurately localize themselves in complex, GPS denied environments. Once observations have been made, it’s necessary to interpret the large volumes of data that are gathered in an efficient and scalable way. For more information on research activities, please visit the Ocean Perception research website.
Seafloor 3D visual reconstruction: Development of deep-sea imaging hardware and processing pipelines for calibration, localisation and 3D mapping of the seafloor with full-field uncertainty characterisation.
BioCam (NERC NE/P020887/1): Development of a deep-sea, high-altitude seafloor imaging system for monitoring seafloor ecological variables as part of the Oceanids Marine Sensor Capital program. This project is a collaboration with Sonardyne International Ltd, the National Oceanography Centre and the ACFR University of SydneyAT-SEA (NERC NE/T010592/1): 3D visual survey of decommissioned seafloor infrastructure using a shore launched Autonomous Underwater Vehicle (Boaty McBoaface) as part of the INSITE program. This project is a collaboration with the National Oceanography Centre.
Automated interpretation of data: Development of AI methods for rapid scalable interpretation of seafloor imagery.
