Avraham Chapman

Avraham Chapman

Higher Degree by Research Candidate

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Avraham Chapman is currently a part time M Phil candidate undertaking research in Computer Vision. He has over 17 years of experience in industry as a software engineer. He has received a B Comp Sci from the University of Adelaide and a Graduate Certificate in Computer Systems Engineering from RMIT. His research interests primarily focus on the application of unsupervised learning techniques to computer vision.

My research is concerned with finding ways of training deep neural networks in counting tasks, such as crowd counting, using unsupervised methods. Previous research was concerned with acheiving 'detection like' accuracy using regression-based crowd counting models.

  • Appointments

    Date Position Institution name
    2017 - ongoing Senior Software Engineer Saab Systems
    2015 - 2017 Senior Software Developer NoQ
    2014 - 2015 Contract Software Engineer ASC
    2012 - 2014 Senior Java Engineer Sydac
    2012 - 2011 Senior Software Engineer BAE SYSTEMS
    2009 - 2010 Software Engineer BAE SYSTEMS
    2003 - 2009 Software Systems Engineer BAE SYSTEMS
  • Language Competencies

    Language Competency
    Chinese (Mandarin) Can read and write
    English Can read, write, speak, understand spoken and peer review
  • Education

    Date Institution name Country Title
    2005 - 2006 RMIT Australia Graduate Certificate in Computer Systems Engineering
    1999 - 2002 University of Adelaide Australia Bachelor of Computer Science
  • Research Interests

  • Journals

    Year Citation
    2022 Chapman, A., & Liu, L. (2022). Regularizing Neural Network Training via Identity-wise Discriminative
    Feature Suppression.

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