Visualising and interpreting CT scans and other data is crucial for surgeons. Using mixed reality and machine learning to create 3d models of organs allows medical practitioners to decide quickly and easily if surgery is the best option for the patient.
Professor John Mitchell, Vice Dean of Education in the Faculty of Engineering Sciences, gives his overview of the Integrated Engineering Programme (IEP) which forms the basis of Undergraduate Engineering Teaching at UCL.
A briefing video for the Engineering Exchange community forum on transport, pollution and big data in London.
Understanding the textures and patterns of pancakes is helping UCL scientists improve surgical methods for treating glaucoma.
Novel, breakthrough communication technologies are needed to keep up with our insatiable appetite for reliable, faster networks connecting everything and everyone. We design systems that will push the fundamental limits of optical fiber communications.
The UCL Department of Security and Crime Science was the first university department in the world devoted specifically to reducing crime and other risks to personal and national security.
UCL Engineering undergraduates are geared up to mentor local London school students in a sponsorship package for the world’s biggest STEM competition for schools.
What happens when lithium-ion batteries overheat and explode has been tracked inside and out for the first time by a UCL-led team using sophisticated 3D imaging.
Understanding how Li-ion batteries fail and potentially cause a dangerous chain reaction of events is important for improving their design to make them safer to use and transport, say the scientists behind the study.
ARM is partnering with UCL (University College London) to launch a new education kit aimed at developing students’ Internet of Things (IoT) technical skills. The aim is to encourage more graduates to stay in Science, Technology, Engineering & Maths (STEM) related professions as statistics suggest half leave the sector to pursue careers in unrelated areas.
Humans have a natural ability to understand how objects they see fit together: stacking on, blocking parts, or even fitting inside each other. Young infants can stack blocks: but going from a flat image to a 3D understanding of how the parts are related is still very difficult for computers.