FOR FELLOWS, ENGINEERING ACADEMICS AND RESEARCHERS
The next in the series of the Technical briefing will be a panel discussion on Data centric engineering and will feature Professor Mark Girolami FREng, the Chief Scientist of The Alan Turing Institute and Royal Academy of Engineering Research Chair in Data Centric Engineering. Other panellists will include current and previous Academy grant holders/collaborators. This event will highlight current thinking and best practice in this transformative area.
Programme
| 1.50pm | Zoom opens |
| 2.00pm | Welcome and introduction |
| 2.10pm |
Panel discussion
|
| 2.35pm | Q&A session |
| 2.55pm | Closing remarks |
| 3.00pm | Close of event |
Accessibility
It is very important to the Royal Academy of Engineering that our events are accessible to all. If you have any accessibility requirements, please contact the Events team at your earliest convenience so that necessary arrangements can be made. Contact details: [email protected].
Professor Mark Girolami FREng
Mark Girolami is the Sir Kirby Laing Professor of Civil Engineering at the University of Cambridge where he also holds the Lloyds Register Foundation / Royal Academy of Engineering Research Chair in Data Centric Engineering. Prior to joining the University of Cambridge Professor Girolami held the Chair of Statistics in the Department of Mathematics at Imperial College London. He was one of the original founding Executive Directors of the Alan Turing Institute the UK’s national institute for Data Science and Artificial Intelligence, after which he was appointed as Strategic Programme Director at Turing, where he established and led the Lloyd’s Register Foundation Programme on Data Centric Engineering. Since October 2021 he serves as the Chief Scientist of the Alan Turing Institute. Professor Girolami is an elected fellow of the Royal Society of Edinburgh, he was an EPSRC Advanced Research Fellow (2007-2012), an EPSRC Established Career Research Fellow (2012-2018), and a recipient of a Royal Society Wolfson Research Merit Award.
Professor Maja Pantic FREng
Maja Pantic obtained her BSc, MSc and PhD degrees in computer science and Artificial Intelligence in 1996, 1997 and 2001 from Delft University of Technology, the Netherlands. Until 2005, she was an Assistant/ Associate Professor at Delft University of Technology. In 2006, she joined the Imperial College London, Department of Computing, UK, where she is Professor of Affective & Behavioural Computing and the Head of the iBUG group, working on machine analysis of human non-verbal behaviour. From April 2018 to April 2020, she was the co-founder and the Research Director of Samsung AI Research Centre in Cambridge. From April 2020, she is the AI Scientific Research lead in Meta Platforms London (formerly Facebook London). Professor Pantic is one of the world's leading experts in the research on machine understanding of human behaviour including vision-based detection, tracking, and analysis of human behavioural cues like facial expressions and body gestures, and multimodal analysis of human behaviours like laughter, social signals, and affective states. Professor Pantic received various awards for her work including BCS Roger Needham Award, awarded annually to a UK based researcher for a distinguished research contribution in computer science, and Maria Petrou Award, awarded biannually to a senior female researcher for her contributions to pattern recognition field. She is a Fellow of the UK's Royal Academy of Engineering, an IEEE Fellow and an IAPR Fellow.
Professor David Lane CBE FREng FRSE
Professor David Lane CBE FREng FRSE is a passionate scientist, innovator, educator and personal investor in Robotics & AI. A founding award winning CEO (SeeByte Ltd/Inc Edinburgh, San Diego, exit to Batelle Inc USA) he is/has been Chair/NED in five businesses and one fund in UK, US, Norway, Hong Kong in Edtech, Healthcare, Manufacturing, Offshore Energy, Defence, Food. He co-created the Edinburgh Centre for Robotics and National Robotarium at Heriot-Watt and Edinburgh Universities, forming a research and translation hub with >150 staff and PhDs including the £40m ORCA Hub, the largest offshore robotics R&D programme globally. He has published >300 peer reviewed papers engineering advanced cognition, sensing and bio-inspiration into unmanned systems, with visiting scientific appointments in the US, China and NATO. He is member UK Govt AI Council, co-Chair UK Robotics Growth Partnership leading the vision for a Cyber-Physical Infrastructure for national resilience, sustainability, prosperity and security. Awards include the 2011 Praxis Unico Business Impact Award, 2013 Scottish Digital Technology Award International Growth, 2018 Guardian University Business Collaboration Award, 2019 Scottish Knowledge Exchange Champion. He mentors in the RAEng & RSE Enterprise Fellowship Schemes. Colleagues in China call him 雷恩 (Lay-en), meaning ‘Kind Thunder’.
Professor Elizabeth Cross
Professor Elizabeth Cross is a Professor in the Dynamics Research Group at the University of Sheffield. She currently holds an EPRSC Innovation Fellowship on the development of grey-box models for assessing the health of structures in operation (grey-box models combine physics-based models with machine learning technology). Lizzy is a co-director of the Laboratory for Verification and Validation, a state-of-the-art dynamic testing facility.