Professor Anton van den Hengel

Professor Anton van den Hengel
 Position Director, Centre for Augmented Reasoning
 Org Unit Australian Institute for Machine Learning, Operations
 Telephone +61 8 8313 5309
 Location Floor/Room 1 ,  Australian Institute for Machine Learning ,   North Terrace
  • Biography/ Background

    Anton van den Hengel is the founding Director of The Australian Institute for Machine Learning, Australia’s largest machine learning research group, and on many measures its most successful.  He is also a Chief Investigator of the Australian Centre of Excellence in Robotic Vision, and a Professor of Computer Science at the University of Adelaide. Professor van den Hengel has been a CI on over $60m in research funding from sources including Google, Facebook, Canon, BHP Billiton and the ARC.
    Prof van den Hengel has won a number of awards, including the Pearcey Foundation Entrepreneur Award, the SA Science Excellence Award for Research Collaboration, and the CVPR Best Paper prize in 2010. He has authored over 300 publications, has an h-index of 49, has had 8 patents commercialised, formed 2 start-ups, and has recently had a medical technology achieve first-in-class FDA approval. Current research interests include leep learning, vison and language problems, interactive image-based modelling, large-scale video surveillance, and medical machine learning.

    Prof van den Hengel and his team have developed world leading methods in a range of areas within Computer Vision and Machine learning, including methods which have placed first on a variety of international leaderboards such as: PASCAL VOC (2015 & 2016), CityScapes (2016 & 2017), Virginia Tech VQA (2016 & 2017), and the Microsoft COCO Captioning Challenge (2016). Professor van den Hengel’s team placed 4th in the ImageNet detection challenge in 2015 ahead of Google, Intel, Oxford, CMU and Baidu, and 2nd in ImageNet Scene Parsing in 2016. ImageNet is one of the most hotly contested challenges in Computer Vision.

     See my homepage for more information


  • Qualifications

    Ph. D. in Computer Science                   1995 – 2000

                Adelaide University

                Robust Estimation of Structure from Motion in the Uncalibrated Case

    Masters Degree in Computer Science     1993 – 1994

                Adelaide University

                Thesis: Enhancing a Direct Method of Determining Shape from Shading.

    Bachelor of Laws                                  1989 - 1993

                Adelaide University

    Bachelor of Mathematical Science          1988 - 1991

                Adelaide University

                Major: Computer Science

  • Publications

    Publications available through the Adelaide library include:

  • Media Expertise

    CategoriesScience & Technology
    ExpertiseArtificial Intelligence, machine learning, computer vision.
    Mobile0414 268 662

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Entry last updated: Tuesday, 29 Mar 2022

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