Ajmal Mian

BE MSc PhD W.Aust., Professor, Professor

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

    6009 Perth

    Australia

  • 4635 Citations
  • 33 h-Index
20042020

Research output per year

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Personal profile

Biography

Ajmal Mian is a Professor of Computer Science. He is internationally known for his research in Computer Vision and has published over 180 scientific papers in prestigious journals and conferences including PAMI, IJCV, TNNLS, TIP, PR, 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 15 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 nine major grants from the ARC and the National Health and Medical Research Council of Australia with about $13 Million in funding. 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

I lead the Machine Intelligence Group which performs cutting edge research in computer vision and machine learning. Our 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.

I support and encourage "Reproducible Research" in my group. You will find all our data, source code and deep learning models publicly available on my website or GitHub. 

Future research

My research group is working on the following problems

1. Defence against adversarial attacks on deep learning
2. Human action recognition in videos
3. Designing deep learning architectures for 3D point clould segmentation
4. Automatic Video Description by combining computer vision and natural language processing
5. 3D facial analysis through dense correspondence for medical applications
6. Large scale 3D face recognition

Funding overview

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

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

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

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

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

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

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

(8) 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]

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

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

(11) 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

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

Research

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

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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Research Output

Open Access
  • Fish detection and species classification in underwater environments using deep learning with temporal information

    Jalal, A., Salman, A., Mian, A., Shortis, M. & Shafait, F., May 2020, In : Ecological Informatics. 57, 101088.

    Research output: Contribution to journalArticle

  • Octree Guided CNN With Spherical Kernels for 3D Point Clouds

    Lei, H., Akhtar, N. & Mian, A., 9 Jan 2020, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 9623-9632 156730

    Research output: Chapter in Book/Conference paperConference paper

  • 3 Citations (Scopus)

    Point attention network for semantic segmentation of 3D point clouds

    Feng, M., Zhang, L., Lin, X., Gilani, S. Z. & Mian, A., Nov 2020, In : Pattern Recognition. 107, 107446.

    Research output: Contribution to journalArticle

  • 1 Citation (Scopus)

    Datasets

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

    Whitehouse, A. (Creator), Gilani, Z. (Creator), Shafait, F. (Creator), Mian, A. (Creator), Tan, D. (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

    Dataset

    Projects