Personal profile
Biography
I received a B.Sc.(Hons.) degree in computer science from the University of Punjab, Lahore, Pakistan, in 2006. I got a Master of Computing degree from Australian National University, Canberra, Australia in 2009, and a PhD degree from Griffith University, Queensland, Australia in 2020. I am currently working at the Australian National University (ANU) and CSIRO as a postdoctoral research fellow. Before that, I was working as a researcher at ARC Research Hub for Driving Farming Productivity and Disease Prevention, Griffith University, Australia. Prior to that, I worked as a developer/programmer at Griffith University, Australia, and before that, I worked as Assistant Professor at COMSATS University, Lahore, Pakistan. I also worked as a researcher at Neville Roach Laboratory, NICTA, Sydney, Australia. Preceding that, I also worked at various software houses in Lahore, Pakistan.
Please visit my personal web-site for updated information:
www.ali-zia.me
Qualifications
PhD
Research Interests
My research interests include pattern recognition, machine learning, computer vision, 3D structure analysis and spectral imaging with their applications to electricity load forecasting, remote sensing, agriculture, medicine, and environmental informatics.
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Collaborations and top research areas from the last five years
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A New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection
Long, Z., Zia, A., Nelis, J., Rolland, V. & Zhou, J., 2024, Proceedings - 2024 25th International Conference on Digital Image Computing: Techniques and Applications, DICTA 2024. Institute of Electrical and Electronics Engineers Inc., p. 569-576 8 p. (Proceedings - 2024 25th International Conference on Digital Image Computing: Techniques and Applications, DICTA 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
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Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement
Umer Ramzan, M., Zia, A., Khamis, A., Elgharabawy, A., Liaqat, A. (Editor) & Ali, U. (Editor), Nov 2024. 8 p.Research output: Contribution to conference › Paper › peer-review
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MMCBE: Multi-Modality Dataset for Crop Biomass Estimation and Beyond
Li, X., Hayder, Z., Zia, A., Cassidy, C., Liu, S., Stiller, W., Stone, E., Conaty, W., Petersson, L. & Rolland, V., 2024, Proceedings - 2024 25th International Conference on Digital Image Computing: Techniques and Applications, DICTA 2024. Institute of Electrical and Electronics Engineers Inc., p. 334-342 9 p. (Proceedings - 2024 25th International Conference on Digital Image Computing: Techniques and Applications, DICTA 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
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Early Detection of Sugarcane Smut Disease in Hyperspectral Images
Bao, D., Zhou, J., Bhuiyan, S. A., Zia, A., Ford, R. & Gao, Y., 2021, Proceedings of the 2021 36th International Conference on Image and Vision Computing New Zealand, IVCNZ 2021. Cree, M. J. (ed.). IEEE Computer Society, (International Conference Image and Vision Computing New Zealand; vol. 2021-December).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
Open Access15 Citations (Scopus) -
Exploring Chromatic Aberration and Defocus Blur for Relative Depth Estimation from Monocular Hyperspectral Image
Zia, A., Zhou, J. & Gao, Y., 2021, In: IEEE Transactions on Image Processing. 30, p. 4357-4370 14 p., 9403964.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus)