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      Dr David Windridge

      ROLE: Associate Professor in Computer Science
      SCHOOL: Science & Technology
      DEPARTMENT: Computer Science
      EMAIL: D.Windridge@mdx.ac.uk
      1. Biography &
        Qualifications
      2. Learning &
        Teaching Interests
      3. Research Outputs &
        Interests
      4. Funded Research &
        Knowledge Exchange Projects
      5. Engagement &
        Impact

      • Biography &
        Qualifications

        Dr. David Windridge is Associate Professor in Computer Science at Middlesex and heads the University's Data Science activities. His research interests centre on the related fields of machine-learning (A.I.), cognitive systems and computer vision (he also has a former research interest in astrophysics having obtained his Ph.D. in Cosmology at the University of Bristol).

        He has authored and played a leading role on a number of large-scale machine-learning projects in academic and industrial research settings (including the EU DREAMS4CARS, EPSRC ACASVA and EU DIPLECS projects). He is also interested in cross-over areas of data science and has won a number of interdisciplinary research grants in areas as diverse as psychological modelling and proteomic classification. He is a Visiting Professor at Trento University, Italy, and a visiting Senior Lecturer at the University of Surrey. He has authored more than 100 peer-reviewed publications.


        Languages Spoken

      • Learning &
        Teaching Interests

      • Research Outputs &
        Interests

        Publication Feed

        An improved block matching algorithm for motion estimation in video sequences and application in robotics

        Bhattacharjee, Kamanasish and Kumar, Sushil and Pandey, Hari Mohan and Pant, Milli and Windridge, David and Chaudhary, Ankit (2018) An improved block matching algorithm for motion estimation in video sequences and application in robotics. Computers & Electrical Engineering . ISSN 0045-7906 (Accepted/In press)

        A comprehensive classification of deep learning libraries

        Pandey, Hari Mohan and Windridge, David (2018) A comprehensive classification of deep learning libraries. In: International Congress on Information and Communication Technology, 27-28 Feb 2018, London, UK. (Accepted/In press)

        Post-operative pediatric cerebellar mutism syndrome and its association with hypertrophic olivary degeneration

        Avula, Shivaram and Spiteri, Michaela and Kumar, Ram and Lewis, Emma and Harave, Srikrishna and Windridge, David and Ong, Chan and Pizer, Barry (2016) Post-operative pediatric cerebellar mutism syndrome and its association with hypertrophic olivary degeneration. Quantitative Imaging in Medicine and Surgery, 6 (5). pp. 535-544. ISSN 2223-4292

        Identifying similar patients using self-organising maps: a case study on type-1 diabetes self-care survey responses

        Tirunagari, Santosh and Poh, Norman and Hu, Guosheng and Windridge, David (2015) Identifying similar patients using self-organising maps: a case study on type-1 diabetes self-care survey responses. ArXiv e-prints . (Published online first)

        On the intrinsic limits to representationally-adaptive machine-learning

        Windridge, David (2015) On the intrinsic limits to representationally-adaptive machine-learning. ArXiv e-prints .

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      • Funded Research &
        Knowledge Exchange Projects

      • Engagement &
        Impact

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