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  • Dr Zulqarnian Gilani

    Dr Zulqarnian Gilani

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Dr Syed Zulqarnain Gilani

Post Doctoral Research Fellow

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

Zulqarnain is a Post Doctoral Research Fellow with Professor David Suter in the School of Science.

Background/Employment History

  • Zulqarnain's research focused on 3D face analysis with applications to detecting Autism and Obstructive Sleep Apnoea. Zulqarnain has served on the faculty of NUST and currently holds an adjunct position in UWA.
  • Nov 2018 - present:  Adjunct lecturer at University of Western Australia (UWA)
  • 2016 - 2018:  Research Associate (Post Doc) Computer Science and Software Engineering, UWA.
  • 2018:  Casual Lecturer, Computer Science and Software Engineering, UWA.
  • 2017: Research Officer, Telethon Kids Institute, WA.
  • 2013-14:  Research Assistant, with Dr Ajmal Mian, Computer Science and Engineering, UWA.
  • 2009–12 : Assistant Professor, College of Signals, NUST, Islamabad, Pakistan.

Professional Memberships

  • Life member of Pakistan Engineering Council (Member of Washington Accord).

Awards and Recognition

Grants and Awards

  • 2016 - Assistant Investigator (AI) on National Health and Medical Research Council (NHMRC) grant number APP1109057, titled “Predicting Obstructive Sleep Apnoea using 3D Craniofacial Photography” (2016 - 2018). Worth $424,715.
  • 2012 - Recipient of International Postgraduate Research Scholarship (IPRS) by the University of Western Australia to undergo PhD (May 2012 – May 2016). Worth $135,036.
  • 2012 - Recipient of Australian Postgraduate Award by the University of Western Australia to cover living expenses (May 2012 – Nov 2015). Worth $100,000 (approx).
  • 2012 - Recipient of Top Up Research Scholarships by the University of Western Australia (May 2012 – May 2016). Worth $32,000.
  • 2014 - Awarded University Travel Grant worth $1850 by UWA to present my research paper in ICPR, Stockholm, Aug 2014.
  • 2011 - Awarded a travel grant worth more than US$ 3100 by Higher Education Commission of Pakistan to present my research paper in ICCSA2011, Santander, Spain in Jun 2011.
  • 2009 - Awarded a travel grant worth more than US$2500 by NUST to present my research paper in CAIP, Munster, Germany in Sep 2009.
  • 2009 - Awarded a travel grant worth more than US$3000 by NUST to present my research paper in DICTA, Melbourne, Australia in Dec 2009.
  • 2016 - My research paper titled "Towards Large-Scale 3D Face Recognition." Won the Best Paper Runner-up Award in IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016).
  • 2016 - My paper title “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.
  • 2015 - My talk titled “3D Facial Morphometrics: Can We Detect Syndromes?” won the Best Talk award in UWA Post Graduate Association Student Talks in Research (STiR), Sep 2015.
  • 2009 - Won President’s Gold Medal in MS for securing first position in class with CGPA of 4.0/4.0.
  • 1997 – Secured 2nd Position in Bachelor of Engineering (Electrical Telecom) in the class.
  • 1993 - Secured 3rd Position in Fellow of Science Exams (A levels) in the State Level Educational Board (Roughly 30,000 candidates).

Research Areas and Interests

  • Zulqarnain's research interests are in Machine Learning, Artificial Intelligence, Deep Learning, 3D face analysis, biometrics and syndrome delineation. He has over twenty publications in internationally renowned journals and conference.

Qualifications

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

Research

Recent Research Grants

  • Predicting falls in the elderly: A novel machine learning approach. ,  Edith Cowan University,  Australia-Germany JRC Scheme (UA-DAAD),  2021 - 2023,  $24,250.

Recent Publications (within the last five years)

Journal Articles

  • Yan, X., Gilani, Z., Qin, H., Mian, A., (2020), Structural Similarity Loss for Learning to Fuse Multi-Focus Images. Sensors, 20(22), 6647, Switzerland, DOI: 10.3390/s20226647.
  • 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), 6941, Switzerland, DOI: 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, United States, DOI: 10.5664/jcsm.8246.
  • 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, DOI: 10.1038/s41398-020-0695-z.
  • Feng, M., Gilani, Z., Wang, Y., Zhang, L., Mian, A., (2020), Relation Graph Network for 3D Object Detection in Point Clouds. IEEE Transactions on Image Processing, 30(-), 92-107, USA, DOI: 10.1109/TIP.2020.3031371.
  • 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, Netherlands, DOI: 10.1016/j.patcog.2020.107446.
  • 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, DOI: 10.1002/aur.2161.
  • Aafaq, N., Mian, A., Liu, W., Gilani, Z., Shah, M., (2019), Video Description: A Survey of Methods, Datasets, and Evaluation Metrics. ACM Computing Surveys, 52(6), Article Number 115, USA, DOI: 10.1145/3355390.
  • Gilani, Z., Mian, A., Shafait, F., Reid, I., (2018), Dense 3D Face Correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(7), 1584-1598, DOI: 10.1109/TPAMI.2017.2725279.
  • 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, DOI: 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, DOI: 10.1016/j.patcog.2017.04.013.

Conference Publications

  • 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, Online, IEEE, DOI: 10.1109/DICTA47822.2019.8945870.
  • 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, Online, IEEE, DOI: 10.1109/CVPR.2019.01277.
  • 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, online, IEEE, DOI: 10.1109/DICTA47822.2019.8946109.
  • 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, Cham, Switzerland, Springer Nature, DOI: 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, USA, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, DOI: 10.1109/CVPR.2018.00203.
  • Gilani, Z., Mian, A., (2016), Towards Large-Scale 3D Face Recognition. International Conference on Digital Image Computing: Techniques and Applications (DICTA), 8 pages, Online, IEEE, DOI: 10.1109/DICTA.2016.7797090.

Research Student Supervision

Associate Supervisor

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