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Research

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Dr Chris Willcocks

Personal web page

Post Doctoral Research Associate in the Department of Computer Science
Telephone: +44 (0) 191 33 41736
Room number: E289

(email at christopher.g.willcocks@durham.ac.uk)

Biography

I have worked as a PDRA for Newcastle University, Durham University, and have been a visiting researcher at the Hong Kong University of Science and Technology.

My interdisciplinary research focuses on providing elegant solutions to computationally expensive or ill-defined problems within the fields of machine learning, high-performance computing, image processing, bioimage informatics and computer graphics. More information about my publications and software is available on my website www.cwkx.com and Github profile github.com/cwkx

Cybersecurity Teaching

Slides for cybersecurity and other material will appear on my webite as they're released.

Personal Webpage

Blog & Articles

Company Webpage

Intogral Limited

GitHub

Link to Profile

Bioimage Informatics

Lab Web Page

Industry Collaboration

  • Intogral Limited Innovate UK successful grant £211,996
  • P&G (ongoing project with Deep Learning)
  • DSTL - our team successfully competed against multiple companies for phase 2 funding for £850,000 shared with one other team)
  • Dyson
  • Unilever

Grants/Awards

  • Intogral Limited (£211,996)
  • Discretionary Award for exceptional contribution to research and collaborative projects (£1000)
  • Research Day (2nd place prize for best presentation)
  • Ustinov travel award
  • NVIDIA Hardware Grant (£1000)
  • EPSRC funded scholarship

Research Interests

  • Unsupervised Learning
  • Level Set Methods
  • Big Data Analytics
  • Image Processing
  • Cybersecurity
  • GPGPU Computing
  • Deep Learning
  • Data Visualization
  • Segmentation & Skeletonization
  • Optimization
  • HPC Computing

Journals

  • A. V. Nasrulloh, C. G. Willcocks, P. T. G. Jackson, C. Geenen, M. S. Habib, D. H. W. Steel, and B. Obara, “Multi-scale Segmentation and Surface Fitting for Measuring 3D Macular Holes,” IEEE Transactions on Medical Imaging, vol. PP, no. 99, PP. 1–1, 2017, ISSN: 0278-0062.
    DOI: 10.1109/TMI.2017.2767908. (New! Accepted)
  • Chris G. Willcocks, P. T. Jackson, C. J. Nelson, and B. Obara, “Extracting 3D Parametric Curves from 2D Images of Helical Objects,” IEEE Transactions on Pattern Analysis and
    Machine Intelligence, vol. 39, no. 9, PP. 1757–1769, Sep. 2017, ISSN: 0162-8828. DOI: 10.1109/TPAMI.2016.2613866.
  • Chris G. Willcocks, P. T. Jackson, C. J. Nelson, A. Nasrulloh, and B. Obara, “Interactive GPU Active Contours for Segmenting Inhomogeneous Objects,” Journal of Real-time Image Processing, (New! Accepted).
  • M. Roberts, Chris G. Willcocks, and B. Obara, “Deep Learning for the Classification & Clustering of Museum Collections,” Journal of Cultural Heritage, Nov. 2017, In Revision.
  • S. Ackay, M. Kundegorski, Chris G. Willcocks, and T. P. Breckon, “On Using Deep Convolutional Neural Network Architectures for Automated Object Detection and Classification within X-ray Baggage Security Imagery,” IEEE Transactions on Information Forensics and Security, Oct. 2017, In Revision.
  • S. Alharbi, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Sequential Graph-based Extraction of Prominent Curvilinear Structures,” Pattern Recognition, Oct. 2017, In Revision.
  • Chris G. Willcocks and F. W. B. Li, “Feature-varying skeletonization: Intuitive control over
    the target feature size and output skeleton topology,” The Visual Computer – International
    Journal of Computer Graphics, CGI, vol. 28, no. 6, PP. 775–785, 2012, ISSN: 1432-2315. DOI:
    10.1007/s00371-012-0688-x.

Journals (in preparation)

  • Chris G. Willcocks, J. Stonehouse, and B. Obara, “Deep Learning for Counterfeit Classification with Multi-Resolution Transfer Learning,” International Journal of Computer Vision,
    2018, In Preparation.
  • Chris G. Willcocks, S. Akcay, P. T. Jackson, and B. Obara, “Quantized Temporal Visualization of Deep Convolutional Neural Networks,” International Journal of Computer Vision, 2018, In Preparation.
  • H. Alhasson, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Understanding the relationship between curvilinear structure enhancement and skeletonisation,” Medical Imaging Analysis, 2018, In Preparation.
  • Chris G. Willcocks and B. Obara, “Subtle Attention with Wasserstein Generative Adversiaral Networks,” Foundations and Trends in Machine Learning, 2018, In Preparation.
  • Chris G. Willcocks and Boguslaw Obara, “Deep volumetric simulation of spiking neurons with locally optimized rewards,” IEEE Transactions on Pattern Analysis and Machine
    Intelligence, 2018, In Preparation.
  • A. V. Nasrulloh, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Automatic 3D segmentation for measuring intraretinal cysts,” IEEE Transactions on Image Processing, 2018.

Conference Proceedings

  • C. J. Nelson, Chris G. Willcocks, P. T. Jackson, P. Laissue, and B. Obara, “Application of high-speed level set segmentation to light sheet fluorescence microscopy,” in Light Sheet Fluorescence Microscopy International, Sheffield, UK, Aug. 2016.
  • N. Mukerji, C. J. Nelson, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Real-time segmentation of brain vasculature and identification of anomalies in magnetic resonance angiography,” in European Congress of Neurosurgery, Athens, Greece, Sep. 2016.

Thesis

  • Chris G. Willcocks, “Sparse Volumetric Deformation – Animating and rendering huge amounts of volumetric data using GPGPU computing,” http://etheses.dur.ac.uk/8471/, PhD thesis, Durham University, Oct. 2013.