Ajmal Mian

BE MSc PhD W.Aust., Professor, Associate Professor

  • The University of Western Australia (M017), 35 Stirling Highway,

    6009 Perth


  • 3097 Citations
  • 27 h-Index
If you made any changes in Pure these will be visible here soon.

Personal profile


Ajmal Mian is now a Professor of Computer Science. He is internationally known for his research in Computer Vision and has published over 160 scientific papers in prestigious journals and conferences including PAMI, IJCV, TIP, PR, TNNLS, CVPR and ECCV. He was a Guest Editor for high impact journals namely Pattern Recognition, Computer Vision & Image Understanding and Image & Vision Computing. He has received several research awards including the West Australian Early Career Scientist of the Year Award, Excellence in Research Supervision Award, Vice-chancellor’s Mid-career Research Award, IAPR Best Scientific Paper Award, Aspire Professional Development Award, Outstanding Young Investigator Award and the Australasian Distinguished Doctoral Dissertation Award. He is a General Chair for ACCV 2018 and has served as a Program Chair for DICTA 2012 and Area Chair of WACV 2019, WACV 2018, ICPR 2016, ACCV 2014. He has received two prestigious and competitive fellowships from the Australian Research Council (ARC). He has secured eight major grants from the ARC and the National Health and Medical Research Council of Australia with over $11 Million in funding. His research interests include computer vision, 3D data analysis, face recognition, machine learning, human action recognition and remote sensing.

Roles and responsibilities

Ajmal Mian leads the Machine Intelligence Group which performs cutting edge research in computer vision and machine learning.

Future research

Human action recognition, 3D point clould analysis, 3D face analysis, automatic video description, deep learning

Funding overview

I have received eight ARC grants including discovery, linkage, infra structure and industry transformation. I have also received an NHMRC grant

Current projects

1. Automatic Human Action Recognition
2. Detecting Obstructive Sleep Apnoea from 3D facial scans
3. 3D face recognition
4. Detecting Autistic Spectrum Disorder (ASD) from 3D facial scans
5. Automatic video description
6. Learning from 3D point cloud for scene analysis

Teaching overview

1. Computer Vision
2. Computer Graphics
3. Computer Analysis & Visualization
4. Problem Solving & Programming with Python
5. Object Oriented Programming with Java
6. Electronic Circuit Analyis & Design


Computer Vision
Machine Learning
Face Recognition
Human action recognition
3D object recognition
Multispectral Image Analysis




  • Computer vision
  • Deep learning
  • Machine learning
  • 3D face recognition
  • 3D object recognition
  • 3D shape analysis
  • Hyperspectral imaging and analysis
  • Human action recognition
  • Image set classification
  • Video description

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 17 Similar Profiles
Face recognition Engineering & Materials Science
Biometrics Engineering & Materials Science
Object recognition Engineering & Materials Science
Tensors Engineering & Materials Science
Lighting Engineering & Materials Science
Classifiers Engineering & Materials Science
Experiments Engineering & Materials Science
Glossaries Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2007 2018

Research Output 2004 2018

2 Citations

Automatic fish species classification in underwater videos: Exploiting pre-trained deep neural network models to compensate for limited labelled data

Siddiqui, S. A., Salman, A., Malik, M. I., Shafait, F., Mian, A., Shortis, M. R. & Harvey, E. S., 1 Jan 2018, In : ICES Journal of Marine Science. 75, 1, p. 374-389 16 p.

Research output: Contribution to journalArticle

neural networks
computer vision
1 Citations

Benchmark Data Set and Method for Depth Estimation from Light Field Images

Feng, M., Wang, Y., Liu, J., Zhang, L., Zaki, H. F. M. & Mian, A., 1 Jul 2018, In : IEEE Transactions on Image Processing. 27, 7, p. 3586-3598 13 p.

Research output: Contribution to journalArticle

Neural networks
Variational techniques
Network architecture
Image analysis
1 Citations

Dense 3D Face Correspondence

Zulqarnain Gilani, S., Mian, A., Shafait, F. & Reid, I., 1 Jul 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 7, p. 1584-1598

Research output: Contribution to journalArticle

Deformable Models

Distance metric learning for pattern recognition

Lu, J., Wang, R., Mian, A., Kumar, A. & Sarkar, S., 1 Mar 2018, In : Pattern Recognition. 75, p. 1-3 3 p.

Research output: Contribution to journalEditorial

Gaussian Process


Data from: Prenatal testosterone exposure is related to sexually dimorphic facial morphology in adulthood

Whitehouse, A. (Creator), Gilani, S. (Creator), Shafait, F. (Creator), Mian, A. (Creator), Tan, W. (Creator), Maybery, M. (Creator), Keelan, J. (Creator), Hart, R. (Creator), Handelsman, D. J. (Creator), Goonawardene, M. (Creator), Eastwood, P. (Creator), Dryad Digital Repository, 8 Sep 2015



APRS Best Paper Runner up Award

Ajmal Mian (Recipient), 2016

Prize/award: Honorary award

ARC Australian Research Fellowship

Ajmal Mian (Recipient), 2011

Prize/award: Other distinction

Aspire Professional Development Award

Ajmal Mian (Recipient), 2016

Prize/award: Prize

Australian Academy of Science Award

Ajmal Mian (Recipient), 2009

Prize/award: Prize