Dr. David Windridge is Senior Lecturer 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 EPSRC ACASVA and EU DIPLECS projects). He is particularly 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 Research Fellow at the University of Surrey (he was previously a Senior Research Fellow within the Centre for Vision, Speech and Signal Processing). He has authored more than 80 peer-reviewed publications.
Windridge, David and Nagarajan, Rajagopal (2017) Quantum Bootstrap Aggregation. In: Quantum Interaction, 20-22 Jul 2016, San Francisco, CA, USA.
Brown, Mark and Windridge, David and Guillemaut, Jean-Yves (2016) A generalised framework for saliency-based point feature detection. Computer Vision and Image Understanding . ISSN 1077-3142 (Accepted/In press)
Brown, Mark and Guillemaut, Jean-Yves and Windridge, David (2014) A saliency-based framework for 2D-3D registration. In: VISAPP 2014: 9th International Conference on Computer Vision Theory and Applications, 05-08 Jan 2014, Lisbon, Portugal.
Tatarchuk, Alexander and Sulimova, Valentina and Torshin, Ivan and Mottl, Vadim and Windridge, David (2014) Supervised selective kernel fusion for membrane protein prediction. In: 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014), 21-23 Aug 2014, Stockholm, Sweden.
Poh, Norman and Tirunagari, Santosh and Windridge, David (2014) Challenges in designing an online healthcare platform for personalised patient analytics. In: 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), 9-12 Dec 2014, Orlando, FL., USA.