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Norman Poh

  • data scientist
  • bjss
  • 25h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 2040CitationsNumber of citations received by Norman's publications. Updated daily.

About

Norman is a Data Scientist with 12 years of research experience, in both the academia and commerce. He is currently working for BJSS where he works with a core team of data scientists and machine learning engineers to solve a range of practical machine learning problems across different sectors from government and healthcare to commodity and finance. Previous roles. He previously worked at QuintilesIMS (now IQVIA) where he developed and applied machine learning algorithms to healthcare with applications to detecting and modelling disease progression. Prior to this, he was a senior lecturer and a principal investigator of a project funded by Medical Research Council (MRC) with the aim of modelling Chronic Kidney Disease. Awards and recognition. Whilst at University of Surrey, he was named the researcher of the year 2011. He is a fellow of Higher Education Academy and a recipient of Swiss National Science Foundation Advanced Researcher grant. He has been applying machine learning to solving predictive and diagnostic analytics, with applications to biometrics, forensics, and healthcare. On these topics, he has published in excess of 100 peer-reviwed publications which are summarised by a Google-based H-index of 31.

Research interests

Recent publications

  • On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation

    • Marcel S
    • McCool C
    • Matějka P
    • et al.
    N/AReaders
    22Citations
    Get full text
  • Face authentication test on the BANCA database

    • Messer K
    • Kittler J
    • Sadeghi M
    • et al.
    N/AReaders
    70Citations
    Get full text

Professional experience

data scientist

bjss

January 2018 - Present

Co-authors (231)

  • abir mhenni
  • Raul Sanchez-Reillo
  • Niall McCarroll
  • Ahmed Al-Obaidi

Other IDs