Ajmal Mian

BE MSc PhD W.Aust., Professor, Professor

  • The University of Western Australia (M002), 35 Stirling Highway,

    6009 Perth


  • Source: Scopus
  • Calculated using citation counts from Scopus for publications in the UWA Profiles and Research Repository
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Personal profile


Ajmal Mian is a Professor of Computer Science and is known for his research in AI, Deep Learning, Machine Learning and Computer Vision. He has published over 190 scientific papers in prestigious journals and conferences including PAMI, IJCV, TNNLS, TIP, TKDE, TBE, CVPR and ECCV. He is an Associate Editor for 3 journals that are ranked A* by CORE i.e. TNNLS, TIP and PR. He serves/d as a Guest Editor for NCAA, Remote Sensing, PR, CVIU, IVC and MVA. He has supervised 16 PhD students to completion, all with high impact publications. 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 was the General Chair for DICTA 2019 and ACCV 2018. He also served/s as a Program Chair for DICTA 2012 and Area Chair of ACM Multimedia 2020, 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 10 major grants from the ARC and the National Health and Medical Research Council of Australia and 2 major grants from DARPA USA. His research interests include computer vision, machine learning, deep learning, 3D data (point cloud) analysis, face recognition, 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 deep[ learning. His research group publishes in high impact journals such as IEEE Trans on Pattern Analysis and Machine Intelligence, Int J of Computer Vision, IEEE Trans on Neural Networks & Learning Systems, IEEE Trans on Cybernetics, IEEE Trans on Image Processing, Pattern Recognition and prestigious conferences such as CVPR and ECCV.

To encourage "Reproducible Research", all source code, deep learning models and data generated by his group is publicly available.

Future research

Ajmal Mian's research group is working on the following projects

1. Adversarial attacks for explainable AI (DARPA project)
2. Deceptive signature identification in adversarial attacks (DARPA project)
3. Defence against adversarial attacks on deep learning (ARC Discovery Project)
4. Human action recognition in videos
5. Deep learning architectures for 3D point clould segmentation
6. Automatic Video Description by combining computer vision and natural language processing


Funding overview

(1) Mubarak Shah, Ajmal Mian, Naveed Akhtar, Yogesh Rawat, "DNADeceptive Neural-network Attack Signature Identification", Defense Advanced Research Projects Agency (DARPA), USA, US$1,000,000 (2020-2022).

(2) Mubarak Shah, Ajmal Mian, Nazanin Rahnavard, Naveed Akhtar, "UTraP: Universal Transferable Perturbations for Machine Vision Disruption", Defense Advanced Research Projects Agency (DARPA), USA, US$1,000,000 (2020-2021).

(3) P Watson, N Jones, S Draper, M Bransby, E Cripps, ...., Ajmal Mian, ...."ARC Research Hub for Transforming Energy Infrastructure Through Digital Engineering", Australian Research Council, $5,000,000 ARC + $20,000,000 Industry funding (2020-2024).

(4) Dao-Yi Yu, William Morgan, David Mackey, Ajmal Mian, Stephen Cringle ... "Equipment Grant: Topcon OCT System with OCTA and Anterior Segment Options" NHMRC, $50,000 (2020).

(5) Jacqueline Alderson & Ajmal Mian, "Wearable Tech and Machine Learning: Disrupting Sports Analytics", Fremantle Football Club, $105,000 (2019-2021).

(6) Ajmal Mian, Defense against adversarial attackes on deep learning in computer vision, ARC DP190102443 $426000 ARC + $93918 UWA [2019-2021]

(7) Y. Gao, +6, Ajmal Mian, +13, "ARC Research hub for driving farming productivity and disease prevention" $5000000 ARC + $3828000 Industry [2018-2013]

(8) Ajmal Mian, "View and shape invariant modeling of human actions for smart surveillance", ARC DP160101458, $293000. [2016 - 2018]

(9) Peter Eastwood, Ajmal Mian, N. McArdle, D. Hillman, "Predicting Obstructive Sleep Apnoea using 3D craniofacial photography", NHMRC Project $425000. [2016 - 2018]

(10) I. Reid, +10, Ajmal Mian, "Computational infrastructure for developing deep machine learning models" ARC LIEF $250000. [2014 - ]

(11) Ajmal Mian, "Machine learning for fracture risk assessment using simple radiography", ARC Linkage [2014 - Relinquished]

(12) Ajmal Mian, "Active multispectral computer vision for defense and security" ARC Australian Research Fellowship $734,000 ARC + ~$100000 UWA. [2011 - 2015]

(13) E. Harvey, M. Shortis, Ajmal Mian, P. Culverhouse, D. Edington, D. Cline, "Automation of species recognition and size measurement of fish from underwater stereo-video imagery" ARC Linkage $436000 + Industry funds. [2011 - 2014]

(14) Robyn Owens, Ajmal Mian, "Person identification using multiple non-invasive iris and face biometrics in video", ARC DP $390000. [2010 - 2012]

(15) Ajmal Mian, "Integration of spatio-temporal video data for realtime smart proactive surveillance", ARC Australian Postdoctoral Fellowship $311298 ARC + ~$50000 UWA. [2008 - 2010]

(16) Ajmal Mian, F. Shafait, B. Ghanem, "Biomass estimation of fish in the wild", DAAD German Australian cooperation grant AU$15000 + EURO 15000. [2014 - 2015]

Current projects

See future projects and funding above

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
Deep Learning and Machine Learning
Large scale 3D face recognition
Human action recognition in video
Automatic video description
3D object recognition
Multispectral Image Analysis




Deep Learning

Research expertise keywords

  • 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


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