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    • David Suter is a Vice-Chancellor’s Professorial Research Fellow and Professor of Computer Science in ECU’s School of Science.
      https://www.ecu.edu.au/__data/assets/image/0006/761910/David-Suter-photo.jpg
    • Professor David Suter

      David Suter is a Vice-Chancellor’s Professorial Research Fellow and Professor of Computer Science in ECU’s School of Science.

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Professor David Suter

Professor of Computer Science

Staff Member Details
Telephone: +61 8 6304 6591
Email: d.suter@ecu.edu.au
Campus: Joondalup  
Room: JO18.417  
ORCID iD: https://orcid.org/0000-0001-6306-3023

David Suter is a Professor of Computer Science in the School of Science (Computing and Security).  He leads a team carrying out leading research in computer vision and big-data analysis. His special expertise includes robust statistical fitting, computational geometry and machine learning.

Background

  • (Research) Professor of Computer Science, Edith Cowan University, Jan 2018-
  • (Adjunct) Professor of Computer Science, The University of Adelaide, Dec 2017-
  • Professor of Computer Science, The University of Adelaide, 2008-2017
  • Professor of Electrical and Computer Systems Engineering, Monash University, 2006-2008
  • Associate Professor of Electrical and Computer Systems Engineering, Monash University, 2002-2006
  • Senior Lecturer (Electrical and Computer Systems Engineering), Monash University, 1992-2002
  • Lecturer (Computer Science and Computer Engineering), La Trobe University, 1988-1992

Awards and Recognition

National and International Research Positions

  • Member Australian Research Council College of Experts (2008-2011)
  • Editorial Board of “International Journal of Computer Vision” (2004-2013) (currently on the Honorary Editorial Board)
  • Editorial Board “Pattern Recognition” (Aug 2017 – present)
  • Editorial Board of “IPSJ Transactions on Computer Vision and Applications” (2008- 2013)
  • Editorial Board of “Journal of Mathematical Imaging and Vision” (2007-2010)
  • Editorial Board of “Machine Vision and Applications” (2006- 2008)

Research Areas and Interests

  • Computer Vision (Robot Vision)
  • Image Processing
  • Pattern Recognition
  • Big-Data Analysis
  • Robust Statistics
  • Computational Geometry

Qualifications

  • Doctor of Philosophy, La Trobe University, 1991.

Research Outputs

2024

Journal Articles

  • 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, 2024(Article in press), -.

2023

Journal Articles

  • 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, 2023(Article in press), 10 pages. https://doi.org/10.1002/jbmr.4921.
  • Fayyazifar, N., Dwivedi, G., Suter, D., Ahderom, S., Maiorana, A., Clarkin, O., Balamane, S., Saha, N., King, B., Green, MS., Golian, M., Chow, BJ. (2023). A Novel Convolutional Neural Network Structure For Differential Diagnosis Of Wide Qrs Complex Tachycardia. Biomedical Signal Processing and Control, 81(2023), article number 104506. https://doi.org/10.1016/j.bspc.2022.104506.
  • 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.
  • Muthu, S., Tennakoon, R., Rathnayake, T., Hoseinnezhad, R., Suter, D., Bab-Hadiashar, A. (2023). Generalized framework for image and video object segmentation using affinity learning and message passing GNNS. Computer Vision and Image Understanding, 236(TBD), article number 103812. https://doi.org/10.1016/j.cviu.2023.103812.
  • Chuah, W., Tennakoon, R., Hoseinnezhad, R., Suter, D., Hadiashar, A. (2023). An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023(Article in Press), TBD. https://doi.org/10.1109/TPAMI.2023.3268640.

Conference Publications

  • Khan, M., Abu-Khalaf, J., Suter, D., Rosenhahn, B. (2023). M3T: Multi-class multi-instance multi-view object tracking for embodied AI tasks. M3T: Multi-class multi-instance multi-view object tracking for embodied AI tasks (246-261). Springer, Cham. https://doi.org/10.1007/978-3-031-25825-1_18.
  • 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.

2022

Journal Articles

  • Truong, G., Le, H., Zhang, E., Suter, D., Gilani, Z. (2022). Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022(article in press), 1-13. https://doi.org/10.1109/TPAMI.2022.3178442.
  • Chuah, W., Tennakoon, R., Hoseinnezhad, R., Suter, D., Bab-Hadiashar, A. (2022). Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications. IEEE Transactions on Intelligent Transportation Systems, 23(10), 18916-18926. https://doi.org/10.1109/TITS.2022.3170870.

Conference Publications

  • Chuah, W., Tennakoon, R., Hoseinnezhad, R., Bab-Hadiashar, A., Suter, D. (2022). ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (13012-13022). IEEE Computer Society. https://doi.org/10.1109/CVPR52688.2022.01268.
  • 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.
  • Doan, A., Sasdelli, M., Suter, D., Chin, T. (2022). A Hybrid Quantum-Classical Algorithm for Robust Fitting. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (417-427). IEEE Computer Society. https://doi.org/10.1109/CVPR52688.2022.00051.
  • 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.

2021

Journal Articles

  • Xiao, G., Wang, H., Ma, J., Suter, D. (2021). Segmentation by continuous latent semantic analysis for multi-structure model fitting. International Journal of Computer Vision, 129(7), 2034-2056. https://doi.org/10.1007/s11263-021-01468-6.
  • 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.
  • Le, H., Chin, T., Eriksson, A., Do, T., Suter, D. (2021). Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3), 842-857. https://doi.org/10.1109/TPAMI.2019.2939307.

Conference Publications

  • Tennakoon, R., Suter, D., Zhang, E., Chin, T., Bab-Hadiashar, A. (2021). Consensus Maximisation Using Influences of Monotone Boolean Functions. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2866-2875). IEEE. https://doi.org/10.1109/CVPR46437.2021.00289.
  • 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.
  • 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.
  • Chin, T., Suter, D., Ch'ng, SF., Quach, J. (2021). Quantum robust fitting. Computer Vision - ACCV 2020. 15th Asian Conference on Computer Vision. (485-499). Springer International Publishing. https://doi.org/10.1007/978-3-030-69525-5_29.

2020

Journal Articles

  • 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.
  • Muthu, S., Tennakoon, R., Rathnayake, T., Hoseinnezhad, R., Suter, D., Bab-Hadiashar, A. (2020). Motion segmentation of RGB-D sequences: Combining semantic and motion information using statistical inference. IEEE Transactions on Image Processing, 29(2020), 5557-5570. https://doi.org/10.1109/TIP.2020.2984893.

Conference Publications

  • Chen, H., Suter, D., Wu, Q., Wang, H. (2020). End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence (10534-10541). AAAI Press. https://doi.org/10.1609/aaai.v34i07.6625.
  • 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.
  • Fayyazifar, N., Ahderom, S., Suter, D., Maiorana, A., Dwivedi, G. (2020). Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals. 2020 Computing in Cardiology (article number 9344384). IEEE Computer Society. https://doi.org/10.22489/CinC.2020.161.

2019

Journal Articles

  • Xiao, G., Wang, H., Yan, Y., Suter, D. (2019). Superpixel-Guided Two-View Deterministic Geometric Model Fitting. International Journal of Computer Vision, 127(4), 323–339. https://doi.org/10.1007/s11263-018-1100-8.
  • Wang, H., Xiao, G., Yan, Y., Suter, D. (2019). Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(3), 697-711. https://doi.org/10.1109/TPAMI.2018.2803173.

Conference Publications

  • Lin, S., Xiao, G., Yan, Y., Suter, D., Wang, H. (2019). Hypergraph Optimization for Multi-structural Geometric Model Fitting. Proceedings of the AAAI Conference on Artificial Intelligence (8730-8737). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v33i01.33018730.
  • 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

Conference Publications

  • Le, H., Eriksson, A., Milford, M., Do, T., Chin, T., Suter, D. (2018). Non-smooth M-estimator for Maximum Consensus Estimation. 29th British Machine Vision Conference (BMVC) (1-12). British Machine Vision Conference.
  • Cai, Z., Chin, T., Le, H., Suter, D. (2018). Deterministic Consensus Maximization with Biconvex Programming. Proceedings European Conference on Computer Vision (699-714). Springer. https://doi.org/10.1007/978-3-030-01258-8_42.

2017

Books

Journal Articles

  • Purkait, P., Chin, T., Sadri, A., Suter, D. (2017). Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(9), 1697-1711. https://doi.org/10.1109/TPAMI.2016.2614980.
  • Chin, T., Purkait, P., Eriksson, A., Suter, D. (2017). Efficient Globally Optimal Consensus Maximisation with Tree Search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4), 758-772. https://doi.org/10.1109/TPAMI.2016.2631531.
  • Lai , T., Wang, H., Yan, Y., Xiao, G., Suter, D. (2017). Efficient guided hypothesis generation for multi-structure epipolar geometry estimation. Computer Vision and Image Understanding, 154(Jan), 152-165. https://doi.org/10.1016/j.cviu.2016.10.003.

Conference Publications

  • Le, H., Chin, T., Suter, D. (2017). An Exact Penalty Method for Locally Convergent Maximum Consensus. Proceedings 30th IEEE Conference on Computer Vision and Pattern Recognition (378-387). IEEE. https://doi.org/10.1109/CVPR.2017.48.
  • Zhang, Q., Chin, T., Suter, D. (2017). Quasiconvex Plane Sweep for Triangulation with Outliers. Proceedings of the IEEE International Conference on Computer Vision (920-928). IEEE. https://doi.org/10.1109/ICCV.2017.105.

2016

Journal Articles

  • Bustos, P., Chin, T., Eriksson, A., Li, H., Suter, D. (2016). Fast Rotation Search with Stereographic Projections for 3D Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(11), 2227-2240. https://doi.org/10.1109/TPAMI.2016.2517636.
  • Xiao, G., Wang, H., Lai, T., Suter, D. (2016). Hypergraph modelling for geometric model fitting. Pattern Recognition, 60(2016), 748-760. https://doi.org/10.1016/j.patcog.2016.06.026.
  • Tennakoon, R., Bab-Hadiashar, A., Cao, Z., Hoseinnezhad, R., Suter, D. (2016). Robust Model Fitting Using Higher Than Minimal Subset Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(2), 350-362. https://doi.org/10.1109/TPAMI.2015.2448103.

Conference Publications

  • Xiao, G., Wang, H., Yan, Y., Suter, D. (2016). Superpixel-based two-view deterministic fitting for multiple-structure data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (517-533). European Conference on Computer Vision. https://doi.org/10.1007/978-3-319-46466-4_31.
  • Le, H., Chin, T., Suter, D. (2016). Conformal Surface Alignment with Optimal Mobius Search. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2507-2516). IEEE. https://doi.org/10.1109/CVPR.2016.275.

2015

Conference Publications

  • Chin, T., Purkait, P., Eriksson, A., Suter, D. (2015). Efficient globally optimal consensus maximisation with tree search. Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2413–2421). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CVPR.2015.7298855.
  • Wang, H., Xiao, G., Yan, Y., Suter, D. (2015). Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting. https://doi.org/10.1109/ICCV.2015.332.
  • Hadian-Jazi, M., Bab-Hadiashar, A., Hoseinnezhad, R., Suter, D. (2015). Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines. https://doi.org/10.1109/IPTA.2015.7367119.

2014

Journal Articles

  • Pham, TT., Chin, T., Yu, J., Suter, D. (2014). The random cluster model for robust geometric fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 1658-1671. https://doi.org/10.1109/TPAMI.2013.2296310.
  • Tran, Q., Chin, T., Chojnacki, W., Suter, D. (2014). Sampling minimal subsets with large spans for robust estimation. International Journal of Computer Vision, 106(1), 93-112. https://doi.org/10.1007/s11263-013-0643-y.
  • Pham, TT., Chin, T., Schindler, K., Suter, D. (2014). Interacting geometric priors for robust multimodel fitting. IEEE Transactions on Image Processing, 23(10), 4601-4610. https://doi.org/10.1109/TIP.2014.2346025.
  • Yu, J., Eriksson, A., Chin, T., Suter, D. (2014). An adversarial optimization approach to efficient outlier removal. Journal of Mathematical Imaging and Vision, 48(3), 451-466. https://doi.org/10.1007/s10851-013-0418-7.
  • Zaragoza, J., Chin, T., Tran, Q., Brown, MS., Suter, D. (2014). As-projective-as-possible image stitching with moving DLT. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7), 1285-1298. https://doi.org/10.1109/TPAMI.2013.247.
  • Yan, Y., Wang, H., Suter, D. (2014). Multi-subregion based correlation filter bank for robust face recognition. Pattern Recognition, 47(11), 3487-3501. https://doi.org/10.1016/j.patcog.2014.05.004.

Conference Publications

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 ‑ 2026, $1,202,213.
  • Tensor and Hypergraph Methods in Fitting Visual Data, Australian Research Council, Grant - Discovery Projects, 2020 ‑ 2025, $485,266.
  • Predicting falls in the elderly: A novel machine learning approach., Edith Cowan University, Australia-Germany JRC Scheme (UA-DAAD), 2021 ‑ 2024, $24,250.
  • Development of a Risk Based Framework for Governance of Autonomous Weapons Systems, Department of Jobs, Tourism, Science and Innovation, Defence Science Research Higher Degree Student Grant, 2023 ‑ 2024, $15,000.
  • Explainable AI Frameworks for Automatic Detection and Localisation of Abdominal Aortic Calcification, Raine Medical Research Foundation, Raine Priming Grants, 2023 ‑ 2024, $255,913.
  • Automated methods for evaluating structural vascular disease, National Health and Medical Research Council, Ideas grants, 2020 ‑ 2024, $652,128.
  • 2020-106-054 - Opportunities and Challenges posed by Disruptive and Converging information technologies for Australia’s future defence capabilities: A Horizon Scan. , Department of Defence, Strategic Policy Grants Program, 2020 ‑ 2024, $89,045.
  • Generative Artificial Intelligence for Feature-Specific Augmentation of Radiological Image Datasets, Department of Health WA, Future Health Research and Innovation Fund - Generative AI Applications, 2024, $49,964.
  • Better and faster than the human eye: artificial intelligence and computational radiomics for foot x-rays in patients with diabetes-related foot infections, Department of Health WA, Research Translation Projects, 2022 ‑ 2024, $93,265.
  • Developing a Framework for Speech Recognition and understanding in digital learning contexts, Science and Industry Endowment Fund, SIEF - Ross Metcalf Stem Business Fellowship, 2020 ‑ 2023, $322,771.
  • Developing a novel deep learning architecture for automatic cardiac arrhythmia detection and classification, Department of Jobs, Tourism, Science and Innovation, WA Science Industry PhD Fellowship Program, 2019 ‑ 2022, $30,000.
  • ECU-Institute Technico Lisboa Collaboration in Artificial Intelligence, Edith Cowan University, ECU Collaboration Enhancement Scheme - 2018 Round 1, 2018 ‑ 2019, $7,672.

Research Student Supervision

Current Supervisions

Co-principal Supervisor

  • Doctor of Philosophy, Towards embodied navigation through vision and language

Associate Supervisor

  • Doctor of Philosophy, Towards AI Explainability: Unraveling Black-Box Models
  • Doctor of Philosophy, Machine learning for computer aided diagnostics from complex medical images
  • Doctor of Philosophy, Embodied AI for challenging rearrangement tasks in the context of service and assistive robots
  • Doctor of Philosophy, Deep learning for medical image interpretation
  • Doctor of Philosophy, Learning facial feature for real-time detection of alcohol-induced impairment in drivers
  • Doctor of Philosophy, Development of a risk based framework for governance of autonomous weapons systems

Completed Supervisions

Principal Supervisor

  • Doctor of Philosophy, Deep Learning and Neural Architecture Search for Cardiac Arrhythmias Classification
  • Doctor of Philosophy, Robust fitting: assisted by semantic analysis and reinforcement learning
  • Master of Science (Computer Science), Affordance Learning for Visual-Semantic Perception
  • Doctor of Philosophy: Robust Paramater Estimation in Computer Vision: Geometric Fitting and Deformable Registration

Associate Supervisor

  • Doctor of Philosophy, Artificial intelligence-assisted prediction, feature, selection, and multi-omics integration in exploing the interaction between IgG N-glycome and transcriptome and constructing the ageing clock
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