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Dr Yang Song
Faculty: Engineering
Fields of Research (FoR): Computer vision, Deep learning, Pattern recognition, Machine learning, Applications in health, Image processing, Social robotics, Graph, social and multimedia data
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Faculty: Engineering
Fields of Research (FoR): Computer vision, Deep learning, Pattern recognition, Machine learning, Applications in health, Image processing, Social robotics, Graph, social and multimedia data
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Dr Yang Song is an ARC Future Fellow, UNSW Scientia Fellow and Senior Lecturer in the School of Computer Science and Engineering.
Mr Sonit Singh
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Computer vision, Natural language processing, Machine learning, Deep learning, Image processing, Pattern recognition, Biomedical imaging, Intelligent robotics, Medical robotics
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Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Computer vision, Natural language processing, Machine learning, Deep learning, Image processing, Pattern recognition, Biomedical imaging, Intelligent robotics, Medical robotics
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Sonit Singh is a Postdoctoral Research Fellow in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, Australia.
Dr Ajith Jayasekare
Faculty: Arts,Design & Architecture
Fields of Research (FoR): Urban analysis and development, Modelling and simulation, Photogrammetry and remote sensing, Geoinformatics, Image processing, Deep learning
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Faculty: Arts,Design & Architecture
Fields of Research (FoR): Urban analysis and development, Modelling and simulation, Photogrammetry and remote sensing, Geoinformatics, Image processing, Deep learning
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Dr Ajith Jayasekare is a Postdoctoral Fellow at the City Future Research Centre (Value Australia Project). He did his PhD at the University of Wollongong in the field of urban analytics.
Dr Jo Plested
Faculty: UNSW Canberra
Fields of Research (FoR): Deep learning
Faculty: UNSW Canberra
Fields of Research (FoR): Deep learning
Jo Plested is a PostDoc academic who has been researching deep learning for 7 years. Her expertise is focused on transfer learning for small specialised datasets.
Dr Sirojan Tharmakulasingam
Faculty: Engineering
Fields of Research (FoR): Machine learning, Deep learning, Artificial intelligence, Signal processing, Data engineering and data science, Pattern recognition, High performance computing
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Faculty: Engineering
Fields of Research (FoR): Machine learning, Deep learning, Artificial intelligence, Signal processing, Data engineering and data science, Pattern recognition, High performance computing
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Dr Sirojan Tharmakulasingam is a Research Associate | Research and Development Coordinator with the Signals, Information & Machine Intelligence lab, UNSW Sydney.
Dr Sara Shirowzhan
Faculty: Arts,Design & Architecture
Fields of Research (FoR): Urban and regional planning, Automation and technology in building and construction, Urban analysis and development, Urban informatics, Geomatic engineering, Photogrammetry and remote sensing, Building construction management and project planning, Land use and environmental planning, Geospatial information systems and geospatial data modelling, Building information modelling and management, Data management and data science, Data mining and knowledge discovery, Machine learning, Deep learning, Spatial data and applications, Statistical data science
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Faculty: Arts,Design & Architecture
Fields of Research (FoR): Urban and regional planning, Automation and technology in building and construction, Urban analysis and development, Urban informatics, Geomatic engineering, Photogrammetry and remote sensing, Building construction management and project planning, Land use and environmental planning, Geospatial information systems and geospatial data modelling, Building information modelling and management, Data management and data science, Data mining and knowledge discovery, Machine learning, Deep learning, Spatial data and applications, Statistical data science
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Dr Sara Shirowzhan is the lecturer an
Professor Arcot Sowmya
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence not elsewhere classified, Computer vision, Pattern recognition, Machine learning, Deep learning, Image processing
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Faculty: Engineering
Fields of Research (FoR): Artificial intelligence not elsewhere classified, Computer vision, Pattern recognition, Machine learning, Deep learning, Image processing
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Professor Julien Epps
Faculty: Engineering
Fields of Research (FoR): Affective computing, Speech recognition, Deep learning
Faculty: Engineering
Fields of Research (FoR): Affective computing, Speech recognition, Deep learning
Julien Epps received the B.E. and Ph.D. degrees from the University of New South Wales, Sydney, Australia, in 1997 and 2001, respectively.
Dr Vidhyasaharan Sethu
Faculty: Engineering
Fields of Research (FoR): Signal processing, Machine learning, Statistical data science, Speech recognition, Artificial intelligence, Pattern recognition, Deep learning, Neural networks
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Faculty: Engineering
Fields of Research (FoR): Signal processing, Machine learning, Statistical data science, Speech recognition, Artificial intelligence, Pattern recognition, Deep learning, Neural networks
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Dr Vidhyasaharan Sethu is a Senior Lecturer with the School of Electrical Engineering and Telecommunications. His primary research interests are in the field of speech signal processing.
Professor Erik Meijering
Faculty: Engineering
Fields of Research (FoR): Computer vision, Image processing, Deep learning, Machine learning, Neural networks, Artificial intelligence, Pattern recognition, Biomedical imaging
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Faculty: Engineering
Fields of Research (FoR): Computer vision, Image processing, Deep learning, Machine learning, Neural networks, Artificial intelligence, Pattern recognition, Biomedical imaging
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Erik Meijering is a Professor of Biomedical Image Computing in the School of Computer Science and Engineering.
