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Professor Yongsheng Gao

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  • Bio/Profile
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  • Prof Yongsheng Gao is an active researcher with international reputation in environmental informatics and person identification research. His research spans samrt farming, machine vision for agriculture, pest and disease recognition, face recognition, medical imaging, computer vision, and pattern recognition. He has made significant contributions to both fundamental theories and applied research that can solve important industrial problems, and published in prestigious or reputable journals, including:
    - IEEE Transactions on Pattern Analysis and Machine Intelligence
    - IEEE Transactions on Image Processing
    - Pattern Recognition
    - IEEE Transactions on Medical Imaging
    - IEEE Transactions on Geoscience and Remote Sensing
    - IEEE Transactions on Information Forensics and Security
    - IEEE Transactions on Circuits and Systems for Video Technology
    - IEEE Transactions on Systems, Man and Cybernetics-Part A
    - IEEE Pervasive Computing
    - Information Sciences
    - Neurocomputing
    - Engineering Applications of Artificial Intelligence
    - Pattern Recognition Letters
    Example significant funding that best capture his area of expertise:
    1. Australian Research Council (ARC) Industrial Transformation Research Hub for Driving Farming Productivity and Disease Prevention (2018-2023), Lead Chief Investigator: Y. Gao, together with 21 CIs and PIs from 6 universities, CSIRO, and 5 industry partners.
    2. Australian Research Council (ARC) Discovery Grant DP180100958, 'Single model irregular-region retrieval for rapid plant disease detection' (2018-2020), Chief Investigator: Y. Gao.
    3. Australian Research Council (ARC) Linkage Project LP170100326, 'Develop key vision technology for automation of aquaculture farming plant' (2018-2020), Chief Investigators: Y. Gao, A. Busch, C. Sun, S. Chan.
    4. Australian Research Council (ARC) Linkage Project LP150100658, 'Precise recognition for automated harvesting and grading of strawberries' (2015-2018), Chief Investigators: Y. Gao, A. Busch, J. Zhou.
    5. Australian Research Council (ARC) Discovery Grant DP140101075, 'Intelligent image retrieval from distorted and partial queries for rapid mobile identification of pests threatening food and the environment' (2014-2016), Chief Investigators: Y. Gao, M. Blumenstein, S. Sun, J. La Salle.
    6. Australian Research Council (ARC) Discovery Grant DP0877929, 'Feature-level fusion with incomplete data for automatic person identification' (2008-2010), Chief Investigator: Y. Gao.
    7. Australian Research Council (ARC) Discovery Grant DP0451091, 'Face recognition under varying pose and lighting - towards automatic personal identification for surveillance systems' (2004-2006), Chief Investigator: Y. Gao.