• The University of Western Australia (M002,M018), 35 Stirling Highway,

    6009 Perth

    Australia

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Personal profile

Biography

Ajmal Mian is a Professor of Computer Science at UWA and is known for his research in Computer Vision, Artificial Intelligence and Deep Learning (Machine Learning). He is an Australian Research Council Future Fellow 2022, Vice-President of the Austraian Pattern Recognition Society, ACM Distinguished Speaker and Associate Editor for IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks & Learning Systems and the Pattern Recognition journal. He has published over 210 scientific papers in high ranked journals and conferences. He also served as a Guest Editor for NCAA, Remote Sensing, PR, CVIU, IVC and MVA. He has supervised 21 PhD students to completion. He has received several 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 DICTA 2012 and Area Chair of CVPR 2022, ACM Multimedia 2020, WACV 2019, WACV 2018, ICPR 2016, ACCV 2014. He is recipient of three prestigious and competitive fellowships from the Australian Research Council (ARC). He has secured 12 major grants from the ARC and the National Health & Medical Research Council of Australia and 2 major grants from DARPA USA. His research interests include computer vision, machine learning, deep learning, 3D point cloud analysis, face recognition, human action recognition and remote sensing.

Current projects

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

1. Robust and Explainable 3D Computer Vision (ARC Future Fellowship)
2. Adversarial attacks for explainable AI (DARPA project)
3. Deceptive signature identification in adversarial attacks (DARPA project)
4. Defence against adversarial attacks on deep learning (ARC Discovery Project)
5. Human action recognition in videos
6. Explainable Artificial Intelligence

 

Funding overview

(1) Ajmal Mian, “Robust and Explainable 3D Computer Vision”, Australian Research Council Future Fellowship, $1,126,000 ARC + $604,481 UWA (2022 – 2025).

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

(3) 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).

(4) 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).

(5) 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).

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

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

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

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

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

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

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

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

(14) 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]

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

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

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

Research

Computer Vision
Deep Learning and Machine Learning
Object detection, tracking and segmentation in 3D point clouds from LiDAR sensor
Large scale 3D face recognition
Human action recognition in video
Automatic video description
3D object recognition
Multispectral Image Analysis

Teaching overview

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

Languages

English
Pashto
Urdu
Hindi

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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