Top of page

Student/Staff Portal
Global Site Navigation

School of Science

Local Section Navigation
You are here: Main Content
  • Dr Zulqarnian Gilani

    Dr Zulqarnian Gilani

Related Contents

  • See Also
  • Linkedin Profile
    https://au.linkedin.com/in/zulqarnain-gilani
  • Linkedin Profile
  • Google Scholar profile
    https://scholar.google.com.au/citations?user=0uXgj0oAAAAJ&hl=en
  • Google Scholar profile
  • Academic.com profile
    https://edithcowan.academia.edu/SyedZulqarnainGilani
  • Academic.com profile
  • ResearchGate Profile
    https://www.researchgate.net/profile/Syed_Zulqarnain_Gilani
  • ResearchGate Profile

Dr Syed Zulqarnain Gilani

Senior Lecturer

Staff Member Details
Telephone: +61 8 6304 3946
Email: s.gilani@ecu.edu.au
Campus: Joondalup  
Room: JO18.417A  
ORCID iD: https://orcid.org/0000-0002-7448-2327

Dr Gilani is a Senior Lecturer and the Raine Robson Fellow in the School of Science. He is the Co-lead of the Technology and Innovation theme at ECU Nutrition and Health Innovation and Research Institute (NHIRI) and a member of School of Science Centre for AI & ML (CAIML).

Background

Dr Gilani’s research focus is on advancing the applications of explainable artificial intelligence and machine learning algorithms in the field of medical science. His primarily concentrates on developing automated methods to detect Abdominal Aortic Calcification from low resolution DXA scans and 3D face analysis with applications to detecting Autism and Obstructive Sleep Apnoea. Dr Gilani also plays an active role in leading the Technology and Innovation Theme at the Nutrition & Health Innovation Research Institute (NHIRI) and is a core member of Centre for Artificial Intelligence and Machine Learning (CAIML) at ECU. His contributions have been widely recognized in the research community, with many of his publications appearing in Q1 (top 10%) and A* (CORE Ranking) journals and conferences such as Transactions on Pattern Analysis and Machine Intelligence, Proceedings of Royal Society (Biology), Conference on Medical Image Computing and Computer Assisted Interventions (MIICAI) and Conference on Computer Vision and Pattern Recognition (CVPR) - the globally top-rated peer-reviewed conference in the field of computer vision. He has secured over 2 million dollars in funding from 8 local and national competitive grants. As an active researcher in the field, Dr Gilani regularly reviews papers for top-tier journals and conferences and regularly gives presentation/ seminars for the general public to make them aware of the latest research in his field.

Professional Memberships

  • Member of Engineers Australia
  • Life member of Pakistan Engineering Council (Member of Washington Accord)
  • Member of Australian Pattern Recognition Society
  • Member of Medical Image Computing and Computer Assisted Intervention (MICCAI) Society

Awards and Recognition

Awards

  • SZ Gilani, April 2023, “DAAD AInet fellow for Generative Models in Machine Learning”, Awarded EUR 5,000.
  • J Lewis, SZ Gilani et al., Feb 2023, “Investigating genetic and lifestyle determinants of abdominal aortic calcification, and their relationship with cardiovascular disease”, 2022 MRFF Cardiovascular Health Mission, NHMRC. Awarded $1,202,213. (I am the AI lead in this project)
  • SZ Gilani, Nov 2022, “Explainable AI Frameworks for Automatic Detection and Localisation of Abdominal Aortic Calcification”, Raine Research Foundation Fellowship, Awarded $248,913.
  • SZ Gilani, Aug 2022, “Dynamic two-way communication using gestures for human-machine teaming”, Department of Jobs, Tourism, Science, and Innovation/Defence Science Centre, Awarded $150,000.
  • SZ Gilani, Sep 2021, “Two-way communication using gestures for human-machine teaming”, Department of Jobs, Tourism, Science, and Innovation/Defence Science Centre, Awarded $19,992.
  • SZ Gilani (CI-C), May 2021, “A novel machine learning approach to reducing falls and their burden in older Australians”, WA Near-Miss Awards (WANMA), Awarded $74,000.
  • SZ Gilani, May 2021, “Using 3D Dense Correspondence Modelling to Predict Obstructive Sleep Apnea”, ECU School of Science New Staff and Early Career Grant Scheme. Awarded $9,600.
  • SZ Gilani and Bodo Rosenhahn , November 2020, “Predicting falls in the elderly: A novel machine learning approach”. Universities Australia / Germany JRC Scheme (UA-DAAD) Awarded $24,250 and EUR 24,000.
  • SZ Gilani, December 2018, “Modelling the 3D Obstructive Sleep Apnoea Face”, NVIDIA Corporation GPU (Graphical Processing Unit) grant scheme. Awarded $7,750.
  • SZ Gilani, August 2017, “Discovering the Autism Facial Phenotype”, NVIDIA Corporation GPU grant scheme. Awarded $7,750.
  • Associate Investigator (AI) on National Health and Medical Research Council (NHMRC) grant number APP1109057, titled “Predicting Obstructive Sleep Apnoea using 3D Craniofacial Photography” (2016 - 2018). (I wrote the methods section while I as was a PhD student at UWA). Awarded $424,715.
  • SZ Gilani, May 2017, “Relationship between maternal nausea during pregnancy and facial asymmetry in autism spectrum disorder”, Telethon Kids Institute Research Grant, Awarded $15,000.
  • SZ Gilani, May 2012, International Postgraduate Research Scholarship (IPRS) by the University of Western Australia to undergo PhD. Awarded $135,036.
  • SZ Gilani, May 2012, Australian Postgraduate Award by the University of Western Australia to cover living expenses. Awarded $100,000 (approximately).
  • SZ Gilani, May 2012, Top Up Research Scholarships by UWA. Awarded $32,000.Travel grant by UWA to present my research paper in ICPR, Stockholm, Aug 2014. Awarded $1850.
  • SZ Gilani, Jun 2011, Travel grant by Higher Education Commission of Pakistan to present my research paper in ICCSA2011, Santander, Spain. Awarded USD$3100.
  • SZ Gilani, Sep 2009,Travel grant by NUST to present my research paper in CAIP, Munster, Germany in Sep 2009. Awarded USD$2500.
  • SZ Gilani, Dec 2009, Travel grant by NUST to present my research paper in DICTA, Melbourne, Australia. Awarded USD$3000.

Recognition

  • Our research paper titled “Machine‐Learning Assessed Abdominal Aortic Calcification is Associated with Long‐Term Fall and Fracture Risk in Community‐Dwelling Older Australian Women” published in JBMR (2023) won the 2024 ECTS Best Clinical Article Award in European Calcified Tissue Society (ECTS) Congress 2024.
  • Awarded the 2023 DAAD AInet Fellowship given twice a year to a group of outstanding international ECRs  in the field of AI by German DAAD.
  • Awarded the prestigious title of 2022 Raine Robson Fellow.
  • Winner of the Australian Pattern Recognition Society ECR Award 2022 (National Level).
  • Winner of Defence and Research Teaming (DaRT) -4 competition organized by Defence West, DSTG and Defence Science Center (WA) on 13 July 2021.
  • My research paper titled “Fast Point Cloud Registration using Semantic Segmentation” won the DICTA 2019 DST Best Contribution To Science Award in IEEE International Conference on Digital Image Computing: Techniques and Applications 2019.
  • My research paper titled "Towards Large-Scale 3D Face Recognition." won the Best Paper Runner-up Award worth $250 in IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016).
  • My paper titled “Sexually dimorphic facial features vary according to level of autistic-like traits in the general population” was declared the most influential paper by BioMed Central in 2016.
  • My talk titled “3D Facial Morphometrics: Can We Detect Syndromes?” won the Best Talk award worth $200 in UWA Post Graduate Association Student Talks in Research (STiR), Sep 2015.
  • Secured 3rd Position in Fellow of Science Exams (A levels) in the State Level Educational Board (Roughly 30,000 candidates).

Media

  • Radio Interview, “Dr Syed Zulqarnain Gilani on catching drink drivers using AI” on Perth Live with Oliver Peterson, 24 Jun 2024.
  • Media report, “New Camera Technology Can Spot Drunk Drivers as Soon as They Get in Their Car”, Tech Times, 25 Jun 2024.
  • Media report, “New robot technology to deliver ‘tactical advantage’ to Australian Defence Force”,  1 Sep 2022.
  • Media report, “Cutting edge 3D facial scans could give genetic clues to autism”, Chanel 9 National aired on 18 Sep 2021.
  • Media report “Aussie Scientists Develop New Technology to Identify Sleep Apnoea Sufferers”, Channel 10 National, aired on 20 September 2019.
  • “3D face scans help spot Australia's costliest sleep disorder”, IT News, 16 August 2019.
  • Interview on ABC Radio “Drive” with Geoff Hutchison on “New government passport photo requirements for face recognition”, aired at 5pm on 29 June 2018.
  • Interview titled, “Researchers have found a link between masculine facial feature and autism”, Channel 9, Perth Morning News, aired at 8.30am on 25 August 2017.
  • Interview on ABC Radio “Mornings” with Geoff Hutchison on “3D face analysis and relationship with Autism”, aired at 9.16am on 25 August 2018.
  • “3D facial recognition system may end passwords” Deccan Herald, 8 July 2018.
  • “Computer algorithm links facial masculinity to autism”, Scimex (the Science Media Exchange), 25 August 2017.
  • “Masculine features linked to autism”, TERESA BELCHER, Particle, 26 September 2017.
  • “Mathematicians automate gender recognition.” (2014, 09). Australasian Science, 35, 14.
  • “New computer model can perceive gender”, Business Standard, 17 July 2014.
  • “Computers can mimic human gender perceptions”, The Conversation, 19 June 2014.
  • “Computer Gender-Perception a Valuable Tool”, ACM TechNews, 18 June 2014.

Qualifications

  • Doctor of Philosophy, The University of Western Australia, 2018.

Research Outputs

2025

Journal Articles

  • He, S., Gilani, Z., Morrison, P., Hughes, M., McDonald, J. (2025). Pilbara Fat-Tailed Macropods: Using Multivariate and Morphometric Analyses to Explore Spatial and Stylistic Variability. Journal of Archaeological Method and Theory, 32(1), article number 12. https://doi.org/10.1007/s10816-024-09670-9.
  • Sim, M., Gebre, A., Dalla Via, J., Reid, S., Jozani, M., Kimelman, D., Monchka, B., Gilani, Z., Ilyas, Z., Smith, C., Suter, D., Schousboe, J., Lewis, J., Leslie, W. (2025). Automated abdominal aortic calcification scoring from vertebral fracture assessment images and fall-associated hospitalisations: the Manitoba Bone Mineral Density Registry. GeroScience, 2025(Article in Press), 12 pages. https://doi.org/10.1007/s11357-025-01589-7.
  • Smith, C., Sim, M., Ilyas, Z., Gilani, Z., Suter, D., Reid, S., Monchka, B., Jozani, M., Figtree, G., Schousboe , J., Lewis, J., Leslie, W. (2025). Automated abdominal aortic calcification and major adverse cardiovascular events in people undergoing osteoporosis screening: the Manitoba Bone Mineral Density Registry. Journal of Bone and Mineral Research, 2025(Article in press), Article number zjae208. https://doi.org/10.1093/jbmr/zjae208.

Conference Publications

  • Zhang, X., Saleem, A., Ilyas, Z., Suter, D., Nadeem, MA., Prince, R., Zhu, K., Lewis, J., Sim, M., Gilani, Z. (2025). Predicting Falls Through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework. Applications of Medical Artificial Intelligence (85-94). Springer. https://doi.org/10.1007/978-3-031-82007-6_9.

2024

Journal Articles

  • Hollett, R., Bhusal, M., Gilani, Z., Harms, C., Griffiths, S. (2024). Experimental evidence that activewear retail imagery elicits physiological, attentional and self-reported markers of body image threat in women. Body Image, 51(2024), article number 101778. https://doi.org/https://doi.org/10.1016/j.bodyim.2024.101778.
  • Schousboe, J., Lewis, J., Monchka, B., Reid, S., Davidson, M., Kimelman, D., Jozani, M., Smith, C., Sim, M., Gilani, Z., Suter, D., Leslie, W. (2024). Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment. Journal of Bone and Mineral Research, 39(7), 898-905. https://doi.org/10.1093/jbmr/zjae066.

Conference Publications

  • Ilyas, Z., Saleem, A., Suter, D., Schousboe, JT., Leslie, WD., Lewis, J., Gilani, Z. (2024). A Hybrid CNN-Transformer Feature Pyramid Network For Granular Abdominal Aortic Calcification Detection From DXA Images. Medical Image Computing And Computer Assisted Intervention - Miccai 2024, Part XI (14-25). Springer International Publishing Ag. https://doi.org/10.1007/978-3-031-72120-5_2.
  • Keshtkaran, E., Von Berg, B., Regan, G., Suter, D., Gilani, Z. (2024). Estimating Blood Alcohol Level Through Facial Features for Driver Impairment Assessment. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (4539-4548). IEEE. https://doi.org/10.1109/WACV57701.2024.00448.

2023

Journal Articles

  • Truong, G., Le, H., Zhang, E., Suter, D., Gilani, Z. (2023). Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3), 3890-3903. https://doi.org/10.1109/TPAMI.2022.3178442.
  • Sharif, N., Gilani, Z., Suter, D., Reid, S., Szulc, P., Kimelman, D., Monchka, B., Jozani, M., Hodgson, J., Sim, M., Zhu, K., Harvey, N., Kiel, D., Prince, R., Schousboe , J., Leslie, W., Lewis, J. (2023). Machine Learning for Abdominal Aortic Calcification Assessment from Bone Density Machine-Derived Lateral Spine Images. EBioMedicine, 94(August 2023), Article number 104676. https://doi.org/10.1016/j.ebiom.2023.104676.
  • Dalla Via, J., Gebre, A., Smith, C., Gilani, Z., Suter, D., Sharif, N., Szulc, P., Schousboe, J., Kiel, D., Zhu, K., Leslie, W., Prince, R., Lewis, J., Sim, M. (2023). Machine-Learning Assessed Abdominal Aortic Calcification is Associated with Long-Term Fall and Fracture Risk in Community-Dwelling Older Australian Women. Journal of Bone and Mineral Research, 38(12), 1867-1876. https://doi.org/10.1002/jbmr.4921.

Conference Publications

  • Saleem, A., Ilyas, Z., Suter, D., Hassan, GM., Reid, S., Schousboe, JT., Prince, R., Leslie, WD., Lewis, J., Gilani, Z. (2023). SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (273-283). Springer. https://doi.org/10.1007/978-3-031-43987-2_27.
  • Zahan, S., Gilani, Z., Hassan, G., Mian, A. (2023). Human Gesture and Gait Analysis for Autism Detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (3328-3337). IEEE Computer Society. https://doi.org/10.1109/CVPRW59228.2023.00335.

2022

Journal Articles

  • Tan, D., Gilani, Z., Alvares, G., Mian, A., Whitehouse, A., Maybery, M. (2022). An investigation of a novel broad autism phenotype: increased facial masculinity among parents of children on the autism spectrum. Proceedings of the Royal Society B: Biological Sciences, 289(1971), article number 20220143. https://doi.org/10.1098/rspb.2022.0143.

Conference Publications

  • Gilani, Z., Sharif, N., Suter, D., Schousboe, JT., Reid, S., Leslie, WD., Lewis, J. (2022). Show, Attend and Detect: Towards Fine-Grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (439-450). Springer. https://doi.org/10.1007/978-3-031-16437-8_42.
  • Zhang, E., Suter, D., Tennakoon, R., Chin, T., Bab-Hadiashar, A., Truong, H., Gilani, Z. (2022). Maximum Consensus by Weighted Influences of Monotone Boolean Functions. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (8954-8962). IEEE Computer Society. https://doi.org/10.1109/CVPR52688.2022.00876.

2021

Journal Articles

  • Boutrus, M., Gilani, Z., Maybery, M., Alvares, G., Tan, D., Eastwood, P., Mian, A., Whitehouse, A. (2021). Brief Report: Facial Asymmetry and Autistic-Like Traits in the General Population. Journal of Autism and Developmental Disorders, 51(6), 2115-2123. https://doi.org/10.1007/s10803-020-04661-7.
  • Tan, D., Gilani, Z., Boutrus, M., Alvares, G., Whitehouse, A., Mian, A., Suter, D., Maybery, M. (2021). Facial asymmetry in parents of children on the autism spectrum. Autism Research, 14(11), 2260-2269. https://doi.org/10.1002/aur.2612.
  • Feng, M., Gilani, Z., Wang, Y., Zhang, L., Mian, A. (2021). Relation Graph Network for 3D Object Detection in Point Clouds. IEEE Transactions on Image Processing, 30(2021), 92-107. https://doi.org/10.1109/TIP.2020.3031371.

Conference Publications

  • Truong, G., Le, H., Suter, D., Zhang, E., Gilani, Z. (2021). Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (10348-10357). IEEE. https://doi.org/10.1109/CVPR46437.2021.01021.
  • Mursalin, M., Islam, S., Gilani, Z. (2021). 3D Morphable Ear Model: A Complete Pipeline from Ear Segmentation to Statistical Modeling. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-6). IEEE. https://doi.org/10.1109/DICTA52665.2021.9647339.
  • Ilyas, Z., Sharif, N., Schousboe, J., Lewis, J., Suter, D., Gilani, Z. (2021). GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images. DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications (p.1-7). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DICTA52665.2021.9647067.

2020

Journal Articles

  • Aafaq, N., Mian, A., Liu, W., Gilani, Z., Shah, M. (2020). Video Description: A Survey of Methods, Datasets, and Evaluation Metrics. ACM Computing Surveys, 52(6), Article Number 115. https://doi.org/10.1145/3355390.
  • Yan, X., Gilani, Z., Feng, M., Zhang, L., Qin, H., Mian, A. (2020). Self-Supervised Learning to Detect Key Frames in Videos. Sensors, 20(23), Article number 6941. https://doi.org/10.3390/s20236941.
  • Eastwood, P., Gilani, Z., McArdle, N., Hillman, D., Walsh, J., Maddison, K., Goonewardene, M., Mian, A. (2020). Predicting sleep apnea from three-dimensional face photography. The Journal of Clinical Sleep Medicine, 16(4), 493 - 502. https://doi.org/10.5664/jcsm.8246.
  • Feng, M., Zhang, L., Lin, X., Gilani, Z., Mian, A. (2020). Point attention network for semantic segmentation of 3D point clouds. Pattern Recognition, 107(November 2020), Article number 107446. https://doi.org/10.1016/j.patcog.2020.107446.
  • Yan, X., Gilani, Z., Qin, H., Mian, A. (2020). Structural Similarity Loss for Learning to Fuse Multi-Focus Images. Sensors, 20(22), Article Number 6647. https://doi.org/10.3390/s20226647.
  • Tan, DW., Maybery, MT., Gilani, Z., Alvares, G., Mian, A., Suter, D., Whitehouse, AJ. (2020). A broad autism phenotype expressed in facial morphology. Translational Psychiatry, 10(1), article number 7. https://doi.org/10.1038/s41398-020-0695-z.

Conference Publications

  • Nguyen Duc Minh, C., Gilani, Z., Islam, S., Suter, D. (2020). Learning Affordance Segmentation: An Investigative Study. Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA) (Article number 9363390). IEEE. https://doi.org/10.1109/DICTA51227.2020.9363390.

2019

Journal Articles

  • Boutrus, M., Gilani, Z., Alvares, G., Maybery, M., Tan, D., Mian, A., Whitehouse, A. (2019). Increased facial asymmetry in autism spectrum conditions is associated with symptom presentation. Autism Research: official journal of the International Society for Autism Research, 12(12), 1774-1783. https://doi.org/10.1002/aur.2161.

Conference Publications

  • Lee, B., Gilani, Z., Hassan, GM., Mian, A. (2019). Facial Gender Classification—Analysis using Convolutional Neural Networks. 2019 Digital Image Computing: Techniques and Applications (DICTA) (Article number 8946109). IEEE. https://doi.org/10.1109/DICTA47822.2019.8946109.
  • Aafaq, N., Akhtar, N., Liu, W., Gilani, Z., Mian, A. (2019). Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning. Proceedings 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2019 (12487-12496). IEEE. https://doi.org/10.1109/CVPR.2019.01277.
  • Truong, G., Gilani, Z., Islam, S., Suter, D. (2019). Fast Point Cloud Registration using Semantic Segmentation. Proceedings of 2019 Digital Image Computing: Techniques and Applications (DICTA) (Article number 8945870). IEEE. https://doi.org/10.1109/DICTA47822.2019.8945870.

2018

Journal Articles

Conference Publications

  • Feng, M., Gilani, Z., Wang, Y., Mian, A. (2018). 3D face reconstruction from light field images: A model-free approach. Lecture Notes in Computer Science (508–526). Springer Nature. https://doi.org/10.1007/978-3-030-01249-6_31.
  • Gilani, Z., Mian, A. (2018). Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition. CVPR 2018 open access (1896-1905). Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/CVPR.2018.00203.

2017

Journal Articles

  • Tan, D., Gilani, Z., Maybery, M., Mian, A., Hunt, A., Walters, M., Whitehouse, A. (2017). Hypermasculinised facial morphology in boys and girls with Autism Spectrum Disorder and its association with symptomatology. Scientific Reports, 7(2017), article no.9348. https://doi.org/10.1038/s41598-017-09939-y.
  • Gilani, Z., Mian, A., Eastwood, P. (2017). Deep, dense and accurate 3D face correspondence for generating population specific deformable models. Pattern Recognition, 69(September 2017), 238-250. https://doi.org/10.1016/j.patcog.2017.04.013.

2016

Conference Publications

  • Gilani, Z., Mian, A. (2016). Towards Large-Scale 3D Face Recognition. International Conference on Digital Image Computing: Techniques and Applications (DICTA) (8 pages). IEEE. https://doi.org/10.1109/DICTA.2016.7797090.

2015

Journal Articles

  • Gilani, Z., Tan, D., Russell-Smith, S., Maybery, M., Mian, A., Eastwood, P., Shafait, F., Goonawardene, M., Whitehouse, A. (2015). Sexually dimorphic facial features vary according to level of autistic-like traits in the general population. Journal of Neurodevelopmental Disorders, 7(1), Article No. 14. https://doi.org/10.1186/s11689-015-9109-6.
  • Whitehouse, A., Gilani, Z., Shafait, F., Mian, A., Tan, D., Maybery, M., Keelan, J., Hart, R., Handelsman, D., Goonawardene, M., Eastwood, P. (2015). Prenatal testosterone exposure is related to sexually dimorphic facial morphology in adulthood. Proceedings of the Royal Society B: Biological Sciences, 282(1816), Article No. 07. https://doi.org/10.1098/rspb.2015.1351.

Conference Publications

  • Gilani, Z., Shafait, F., Mian, A. (2015). Shape-based Automatic Detection of a Large Number of 3D Facial Landmarks. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (4639-4648). IEEE. https://doi.org/10.1109/CVPR.2015.7299095.

2014

Journal Articles

Conference Publications

  • Gilani, Z., Shafait, F., Mian, A. (2014). Gradient based efficient feature selection. 2014 IEEE Winter Conference on Applications of Computer Vision (WACV) (191-197). IEEE. https://doi.org/10.1109/WACV.2014.6836102.
  • Gilani, Z., Mian, A. (2014). Perceptual differences between men and women: A 3D facial morphometric perspective. Proceedings -22nd International Conference on Pattern Recognition (2413-2418). IEEE. https://doi.org/10.1109/ICPR.2014.418.

2013

Conference Publications

  • Gilani, Z., Shafait, F., Mian, A. (2013). Biologically significant facial landmarks: How significant are they for gender classification?. 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (8 pages). IEEE. https://doi.org/10.1109/DICTA.2013.6691488.

2011

Conference Publications

  • Gilani, Z., Rao, N. (2011). Data Driven Bandwidth for Medoid Shift Algorithm. Computational science and its applications - ICCSA 2011 (534–546). Springer.

Research Projects

  • Investigating genetic and lifestyle determinants of abdominal aortic calcification, and their relationship with cardiovascular disease, National Health and Medical Research Council, MRFF - Cardiovascular Health Mission, 2023 ‑ 2027, $1,202,213.
  • Detecting Abdominal Aortic Calcification with Explainable AI: A Framework for Localisation and Interpretability , Department of Health WA, WA Near-miss Awards: Ideas, 2025 ‑ 2027, $100,000.
  • Collaboration on abdominal aortic calcification study - KURE Korean AAC Study, Yonsei University, Grant, 2024 ‑ 2027, $15,107.
  • Explainable AI Frameworks for Automatic Detection and Localisation of Abdominal Aortic Calcification, Raine Medical Research Foundation, Raine Priming Grants, 2023 ‑ 2024, $255,913.
  • Predicting falls in the elderly: A novel machine learning approach., Edith Cowan University, Australia-Germany JRC Scheme (UA-DAAD), 2021 ‑ 2024, $24,250.
  • Dynamic two-way communication using gestures for human-machine teaming, Department of Jobs, Tourism, Science and Innovation, Defence Science Collaborative Research Grants, 2022 ‑ 2024, $150,000.
  • Dynamic two-way communication using gestures for human-machine teaming , Department of Jobs, Tourism, Science and Innovation, Defence Science Centre DaRT Seed Grant, 2021 ‑ 2022, $19,902.

Research Student Supervision

Current Supervisions

Principal Supervisor

  • Doctor of Philosophy, Adaptive Algorithm for Interpreting Cognitive and Physiological Impairment from Multimodal Data
  • Doctor of Philosophy, Deep Learning for 3D Medical Image Segmentation
  • Doctor of Philosophy, Artificial Intelligence for Enhanced Monitoring of Maritime Activities through Remote Cameras

Completed Supervisions

Principal Supervisor

  • Doctor of Philosophy, Deep learning for medical image interpretation
  • Doctor of Philosophy, Machine Learning for Computer-Aided Diagnostics from Complex Medical Images
  • Doctor of Philosophy, Automated Methods for Estimating Blood Alcohol Concentration Level from Facial Cues

Co-principal Supervisor

  • Doctor of Philosophy, Robust fitting: assisted by semantic analysis and reinforcement learning

Associate Supervisor

  • Doctor of Philosophy: Deep learning based 3D perception & recognition for robot vision
  • Doctor of Philosophy: Data-driven robust human action recognition
  • Doctor of Philosophy: Research on multi-source image fusion algorithm

Assistant Supervisor

  • Master of Science (Computer Science), Affordance Learning for Visual-Semantic Perception
Skip to top of page