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

    6009 Perth

    Australia

Calculated based on number of publications stored in Pure and citations from Scopus

Personal profile

Biography

Ajmal Mian is a Professor of Computer Science at UWA and is known for his research in Artificial Intelligence, Computer Vision, Machine Learning and Robotics. He is an Australian Research Council Future Fellow 2022, Fellow of the International Association for Pattern Recognition, President of the Austraian Pattern Recognition Society, ACM Distinguished Speaker, and served as Senior Editor for IEEE Transactions on Neural Networks & Learning Systems and Associate Editor for IEEE Transactions on Image Processing, and the Pattern Recognition journal. He has published over 300 scientific papers in high ranked AI journals and conferences. He also served as a Guest Editor for NCAA, Remote Sensing, PR, CVIU, IVC and MVA. He has supervised 29 PhD students to completion and mentored 12 postdoctoral fellows. He has received several awards including the HBF Mid-Career Scientist of Year Award, 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/was the General Chair for DICTA 2024, DICTA 2019 and ACCV 2018. He also served/s as a Program Chair DICTA 2012 and Area Chair of ECCV 2024, CVPR 2022, ECCV 2022, ACM Multimedia 2020, WACV 2019, WACV 2018, ICPR 2016, ACCV 2014. He also served as the Doctoral Consortium Co-Chair in IEEE FG 2023 and ACM MM 2024. He is recipient of three prestigious and competitive fellowships from the Australian Research Council (ARC). He has secured 13 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 Artificial Intelligence, 3D 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. 3D Diffusion models for generating and understanding 3D scenes (ARC Discovery Project 2024).

2. Robust and Explainable 3D Computer Vision (ARC Future Fellowship 2022)

3. Defending Aritificial Intelligence against deception attacks, National Intelligence & Security Discovery Project 2022.

4. Text guided 3D Human action generating

5. Explainable Artificial Intelligence

Funding overview

(1) Ajmal Mian, “3D Diffusion Models for Generating and Understanding 3D Scenes”, Australian Research Council (ARC) Discovery Project, $501,000 [2024 – 2026]

(2) Ajmal Mian, Naveed Akhtar, Richard Hartley, “Defending Artificial Intelligence against deception attacks”, National Intelligence and Security Discovery Research Grant, $573,693. [2022 – 2025]

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

(4) David Coward, Oskar Karczewski, Ajmal Mian, Wienczyslaw Bykowski, Grzegorz Taberski, “Characterizing satellites using unresolved optical observations”, Australian Research Council Linkage Project, $303,161 [2022 – 2025]


(5) 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).

(6) 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).

(7) 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).

(8) 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).

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

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

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

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

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

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

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

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

(17) 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]

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

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

(20) 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

Artificial Intelligence
Explainable AI
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

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 11 - Sustainable Cities and Communities
  • SDG 14 - Life Below Water

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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