Whichever programme you choose to study, you will be taught by internationally-recognised teaching staff who have excellent links with industry. Being taught by someone who is changing the world with their ideas means you'll be ahead of the curve in your subject area.
Professor Sean Gong
Shaogang (Sean) Gong is a Professor of Visual Computation at Queen Mary and a Turing Fellow at the Alan Turing Institute of Data Science and Artificial Intelligence. He established the Queen Mary Computer Vision Laboratory in 1993 and has enjoyed his years working with PhD students and postdoctoral researchers. His research is in Computer Vision and Machine Learning, with a focus on Object Recognition, Action Recognition, and Video Analysis.
Professor Gong was recently awarded the Institute of Engineering and Technology (IET) 2020 Achievement Medal for Vision Engineering. The IET Achievement Awards exist to recognise individuals from all over the world who have made exceptional contributions to the advancement of engineering, technology and science in any sector.
Professor Gong is a pioneer and world-leading researcher on visual surveillance based on computer vision, artificial intelligence, machine learning and video analysis. His innovative research is being employed daily in forensic analysis and surveillance for security and crime prevention.
Dr Eliane Bodanese
Eliane is a Senior Lecturer at the School of Electronic Engineering and Computer Science. She has published more than 50 refereed journal/conference papers. Her research interests include sensor networks and the internet of things, human activity detection and recognition through minimal non-intrusive sensing, indoor and outdoor localization, communication support for emergencies, heterogeneous wireless environments, cooperative communications, ad hoc and delay tolerant networks.
Eliane joined Queen Mary in 2003. She is a member of the Communication Systems Research Group. Her research projects have been sponsored by EPSRC in the area of alternative and resilient communication for emergencies and in using wireless networks to support first responders and resilience in upland areas. She has also been sponsored by BT to work on internet-centric services. Eliane is a member of the EPSRC Associate Peer Review College, and she is a reviewer of numerous journals and conferences.
Dr Kamyar Mehran
Kamyar is a Senior Lecturer in Electrical Power Engineering. His lab focuses on solving complex problems in mobility electrification, energy networks, energy efficiency and reduction of harmful gases.
Kamyar’s research centre has developed a battery management system (BMS) to accurately estimate battery degradation using specialised algorithms.
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