Agenda – Data science and signal processing

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09:00 – 09:30   Refreshments

09:30 – 09:40   Welcome and introduction, Mark Briers, (The Alan Turing Institute, UK)

09:40 – 10:05   Privacy preserving data analysis – Adria Gascon (The Alan Turing Institute, UK)

10:05 – 10:30   Building more discriminative feature spaces for deep learning in video – Neil Robertson (Queens University Belfast, UK)

10:30 – 10:55    Contextual information in network anomaly detection – Fran Aparicio-Navarro (Newcastle University, UK)

10:55 – 11:20    Network-based inference and structure discovery – Simon Godsill (Cambridge University, UK)

11:20 – 11:45    Refreshments

11:45 – 12:10    Deep learning for textualization of images – Mohammad Dabbah (Roke Manor, UK)

12:10 – 12:35    Matrix completion/compressed sensing with expander graphs – Jared Tanner (The Alan Turing Institute, UK)

12:35 – 13:00    Multiway analysis for data science – Danilo Mandic (Imperial College London, UK)

13:00 – 13:40   Lunch

13:40 – 14:05   Reinforcement learning for optimal adaptive waveform design in MIMO active sensing systems – Steven Herbert (University of Edinburgh, UK)

14:05 – 14:30   Bots versus humans on social media- what are the tells? – Jon Crowcroft (The Alan Turing Institute, UK)

14:30 – 14:55   Global Interaction Networks Predict the Geography of Conflict – Weisi Guo (The Alan Turing Institute, UK)

14:55 – 15:20   Making sense of sounds – Wenwu Wang (University of Surrey, UK)

15:20 – 15:50   Dstl challenge competitions – Jordi Barr (Dstl, UK)

15:50 – 16:00  Discussion and Close