Work

• My work covers 3 main research streams and their associated application areas:
  • artificial intelligence and machine learning (including deep learning)
  • AI ethics and Responsible AI
  • high performance numerical computing (mathematical software)

Publications

• 100+ publications with 10,000+ total citations (as of 2024)   [see list of papers]
• h-index: 50 (as of 2024)

Open Source Software

• Architect of the widely used Armadillo and RcppArmadillo frameworks for linear algebra & scientific computing
  • 30+ million downloads as of 2024
  • included with all major Linux distributions
  • bridges the gap between research and development
  • used by Facebook, NASA, Boeing, Siemens, Deutsche Bank, MIT, CMU, Stanford, etc.


• Co-developer of the following toolkits to aid development and translation of research code:
  • ensmallen - C++ library for efficient non-linear numerical optimisation
  • Bandicoot - C++ library for accelerated linear algebra on GPUs
  • mlpack - extensive library of machine learning algorithms

Professional Activities

• Contributed to The Conversation (news site with explanatory journalism):
  • What is a GPU? An expert explains the chips powering the AI boom


• Service for various scientific and engineering communities:
  • Program Chair for IEEE Winter Conference on Applications of Computer Vision (WACV): 2017
  • Workshops Chair for IEEE Advanced Video and Signal-based Surveillance (AVSS): 2016
  • Area Chair for IEEE Winter Conference on Applications of Computer Vision (WACV): 2014, 2015, 2016, 2018
  • Reviewer for IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, 2015, 2016
  • Reviewer for International Conference on Machine Learning (ICML), 2016
  • Reviewer for IEEE International Conference on Computer Vision (ICCV), 2015
  • Reviewer for Asian Conference on Computer Vision (ACCV), 2014, 2016, 2018
  • Reviewer for IEEE Workshop on Analysis and Modeling of Faces and Gestures, 2015
  • Reviewer for European Conference on Computer Vision (ECCV), 2014, 2016, 2018

Education

• Master of Business Administration (MBA)
• University of Queensland Business School,
  ranked #1 in Asia Pacific region and #10 world-wide according to The Economist (2016)
  
• Admitted to Dean's Honour Roll for outstanding academic excellence
  (achieved GPA of 6 on a 7 point scale)

• Doctorate (PhD)
  • School of Engineering, Griffith University, Queensland, Australia
  • Research areas: biometrics, signal processing, pattern recognition, machine learning, computer science
  • Obtained "most cited paper" award for article based on thesis chapter

• Bachelor of Engineering (Microelectronics)
  • First Class Honours
  • School of Engineering, Griffith University, Queensland, Australia

Colleagues & Students

I have been fortunate to work with these talented people:

• Ryan Curtin, Marcus Edel, David Douglas, Qinghua Lu, Petra Kuhnert, Emma Schleiger, Stefan Hajkowicz, Justine Lacey, Jon Whittle, Jason Rumengan, Mehrtash Harandi, Arnold Wiliem, Chris McCool, Brian Lovell, Dirk Eddelbuettel, Majid Namazi, Hakim Newton, Abdul Sattar, ZongYuan Ge, Johanna Carvajal, Azadeh Alavi, Sandra Mau, Andres Sanin, Vikas Reddy, Yong Kang Wong, Abbas Bigdeli, Suyu Kong, Fabien Cardinaux, Ronan Collobert, Johnny Mariéthoz, Sébastien Marcel, Kuldip Paliwal, Samy Bengio