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    Research Interests

    Professor Robertson researches new underpinning machine learning methods for visual analytics and his principal research focus is face/activity recognition in real video. He started his career in the UK Scientific Civil Service with DERA (2000-2002) and QinetiQ (2002-2007) and was the 1851 Royal Commission Fellow at Oxford University (2003–2006).

    His autonomous systems, defence and security research is extensive. Highlights include 5-year EPSRC Programmes UDRC Phase 2 (2012-2017) and 3 (2018-2023), and the EPSRC RAS CDT (2013-2018).

    Neil is a leader in the commercialisation of computer vision research. He is the co-founder of AnyVision. Created in 2015, AnyVision is now an international business based on world-class AI research with major offices in the USA, UK, Singapore and Israel.

     

    Willingness to take PhD students

    Yes

    PhD projects

    The unknown unknowns: dealing with uncertainty in deep machine learning (see https://tinyurl.com/y27qrlff)

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    Frequent Journals

    • Signal Processing

      ISSNs: 0165-1684

      Elsevier

      Scopus rating (2018): SJR 0.905 SNIP 1.965

      Journal

    • IEEE Transactions on Signal Processing

      ISSNs: 1053-587X

      Institute of Electrical and Electronics Engineers Inc.

      Scopus rating (2018): CiteScore 6.28 SJR 1.477 SNIP 2.55

      Journal

    • Machine Vision and Applications

      ISSNs: 0932-8092

      Additional searchable ISSN (Electronic): 1432-1769

      Springer Verlag

      Scopus rating (2018): CiteScore 2.22 SJR 0.375 SNIP 1.018

      Journal

    • Physics in Medicine and Biology

      ISSNs: 0031-9155

      Additional searchable ISSN (Electronic): 1361-6560

      IOP Publishing Ltd.

      Scopus rating (2018): SJR 1.297 SNIP 1.385

      Journal

    • IEEE Transactions on Mobile Computing

      ISSNs: 1536-1233

      Institute of Electrical and Electronics Engineers Inc.

      Scopus rating (2018): CiteScore 5.8 SJR 0.973 SNIP 2.324

      Journal

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    Contribution to conference papers, events and activities

    ID: 45182402