Deep Learning in Academia - user stories from Researchers

Please note - as this meetup is being hosted by our awesome sponsors Skills Matter, you'll also need to sign up on their website:

https://skillsmatter.com/meetups/11054-deep-learning-in-academia-user-stories-from-researchers

The agenda is as follows:

18:00 - 18:30 - Arrive

18:30 - Intro

18:45 - University College London - Deep Learning with NHS data
Dr Parashkev Nachev and Robert Gray will discuss the work they are doing with NHS data, to improve operational efficiency, and improve patient outcomes.

19:30 - Queen Mary University London - Video analysis with Deep Learning
Prof Sean Gong will talk about the work he is doing researching Computer Vision and Machine Learning, including work with Law Enforcement agencies.

19:40 - NVIDIA DEEP LEARNING INSTITUTE – Enabling Academia to solve the worlds most challenging problems.

Danny Kiernan from Nvidia will explain how IBM and Nvidia are working together to drive AI education through the Deep Learning Institute.

20:00 - Wrap Up and Close

Our Presenters:

University College London (UCL)
Parashkev Nachev is a Senior Clinical Research Associate at the Institute of Neurology at University College London Hospital. His research deals primarily with translational aspects of cognitive and behavioural neurology, in particular with the development of novel methodology for distributed investigational and therapeutic devices.
Robert Gray is a research associate at UCL Institute of Neurology.

Queen Mary University London (QMUL)
Sean Gong (http://www.eecs.qmul.ac.uk/~sgg/) is a pioneer on video behaviour analysis and a world authority on person re-identification in visual surveillance. He served on the Steering Panel of the UK Government Chief Scientific Adviser's Science Review. He has published over 400 academic papers in computer vision and machine learning (Google Scholar Citations 19,072, H-index 73), 2 research monographs on behaviour recognition (2011) and face recognition (2000), and 5 edited books on person re-identification (2014), video analysis for business intelligence (2012), and face and gesture analysis (2007, 2005, 2003). He has been the Professor of Visual Computation at Queen Mary since 2001 and is the Director of the Queen Mary Computer Vision Group (3 profs, 1 reader, 3 senior lecturers, 35 PhDs and postdocs). He is the Chief Scientist of three start-up companies. A commercial system developed based on his research has won the 2017 Global Frost & Sullivan Award for Technical Innovation on Law Enforcement Video Forensics Technology, and the 2017 ADS (Aerospace Defence Security) Innovation Award for revolutionary solution to reviewing CCTV footage.