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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 his BE (Hons I) and PhD degrees in Electrical Engineering f

Dr Shohreh Deldari
Faculty: Engineering
Fields of Research (FoR): Semi- and unsupervised learning, Stream and sensor data, Machine learning, Deep learning, Time-series analysis
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Faculty: Engineering
Fields of Research (FoR): Semi- and unsupervised learning, Stream and sensor data, Machine learning, Deep learning, Time-series analysis
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Shohreh is a Postdoctoral researcher in Machine Learning, School of Computer Science and Engineering, University of New South Wales.

Dr Sara Shirowzhan
Faculty: Arts,Design & Architecture
Fields of Research (FoR): Building information modelling and management, Information systems for sustainable development and the public good, Automation and technology in building and construction, Urban informatics, Machine learning, Deep learning, Geospatial information systems and geospatial data modelling, Artificial intelligence, Disaster and emergency management, Housing markets, development and management
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Faculty: Arts,Design & Architecture
Fields of Research (FoR): Building information modelling and management, Information systems for sustainable development and the public good, Automation and technology in building and construction, Urban informatics, Machine learning, Deep learning, Geospatial information systems and geospatial data modelling, Artificial intelligence, Disaster and emergency management, Housing markets, development and management
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Dr Sara Shirowzhan is a senior lectur

Mr Xingshuai Dong
Faculty: UNSW Canberra
Fields of Research (FoR): Computer vision, Deep learning, Intelligent robotics, Autonomous vehicle systems
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Faculty: UNSW Canberra
Fields of Research (FoR): Computer vision, Deep learning, Intelligent robotics, Autonomous vehicle systems
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Xingshuai Dong is currently a Research Associate at the School of Systems and Computing, UNSW Canberra.

Dr Imran Razzak
Faculty: Engineering
Fields of Research (FoR): Natural language processing, Machine learning, Deep learning, Computer vision, Computer vision and multimedia computation not elsewhere classified, Pattern recognition, Digital health, Health informatics and information systems
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Faculty: Engineering
Fields of Research (FoR): Natural language processing, Machine learning, Deep learning, Computer vision, Computer vision and multimedia computation not elsewhere classified, Pattern recognition, Digital health, Health informatics and information systems
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Md Rafiqul Islam
Faculty: UNSW Canberra
Fields of Research (FoR): Field robotics, Computer vision, Deep learning, Reinforcement learning
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Faculty: UNSW Canberra
Fields of Research (FoR): Field robotics, Computer vision, Deep learning, Reinforcement learning
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Dr Rafiqul Islam is currently a postdoctoral researcher at UNSW Canberra. He received a PhD from the University of South Australia (UniSA) in 2022.

Dr Dong Gong
Faculty: Engineering
Fields of Research (FoR): Computer vision, Deep learning, Machine learning, Image processing, Artificial intelligence
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Faculty: Engineering
Fields of Research (FoR): Computer vision, Deep learning, Machine learning, Image processing, Artificial intelligence
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Homepage - https://donggong1.github.io/

Associate Professor Yulei Sui
Faculty: Engineering
Fields of Research (FoR): Programming languages, Software engineering, Software and application security, Deep learning
Faculty: Engineering
Fields of Research (FoR): Programming languages, Software engineering, Software and application security, Deep learning

Associate Professor 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 and Scientia Associate Professor in the School of Computer Science and Engineering.

Associate Professor Fatemeh Vafaee
Faculty: Science
Fields of Research (FoR): Artificial intelligence, Systems biology, Bioinformatics and computational biology, Genomics and transcriptomics, Machine learning, Deep learning
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Faculty: Science
Fields of Research (FoR): Artificial intelligence, Systems biology, Bioinformatics and computational biology, Genomics and transcriptomics, Machine learning, Deep learning
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2023 - Present: Associate Professor, School of Biotechnology and Biomolecular Sciences (BABS), UNSW Sydney

Dr 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 Lecturer in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, Australia.

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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Mr Md Mahmudul Hasan
Faculty: Engineering
Fields of Research (FoR): Electrical engineering, Biomedical engineering, Machine learning, Deep learning, Artificial intelligence, Signal processing
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Faculty: Engineering
Fields of Research (FoR): Electrical engineering, Biomedical engineering, Machine learning, Deep learning, Artificial intelligence, Signal processing
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Md Mahmudul Hasan is a PhD researcher (Engineering) and casual academic (Engineering) at Faculty of Engineering at The University of New South Wales (UNSW).

Professor Flora Salim
Faculty: Engineering
Fields of Research (FoR): Pervasive computing, Stream and sensor data, Machine learning, Deep learning, Artificial intelligence, Neural networks, Context learning, Semi- and unsupervised learning, Cyberphysical systems and internet of things, Data engineering and data science, Human-centred computing, Fairness, accountability, transparency, trust and ethics of computer systems
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Faculty: Engineering
Fields of Research (FoR): Pervasive computing, Stream and sensor data, Machine learning, Deep learning, Artificial intelligence, Neural networks, Context learning, Semi- and unsupervised learning, Cyberphysical systems and internet of things, Data engineering and data science, Human-centred computing, Fairness, accountability, transparency, trust and ethics of computer systems
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Professor Flora Salim is the inaugural CISCO Chair of Digital Transport, UNSW Sydney.

Associate Professor Chinthaka Damith Balasooriya
Faculty: Medicine & Health
Fields of Research (FoR): Deep learning, Curriculum and pedagogy, Teacher education and professional development of educators, Higher education, Primary health care, Medicine, nursing and health curriculum and pedagogy
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Faculty: Medicine & Health
Fields of Research (FoR): Deep learning, Curriculum and pedagogy, Teacher education and professional development of educators, Higher education, Primary health care, Medicine, nursing and health curriculum and pedagogy
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Dr Chinthaka Balasooriya is a nationally recognised expert in Medical Education.

Dr Mohammad Karimi Moridani
Faculty: Science
Fields of Research (FoR): Machine learning, Deep learning, Data mining and knowledge discovery, Image processing, Signal processing
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Faculty: Science
Fields of Research (FoR): Machine learning, Deep learning, Data mining and knowledge discovery, Image processing, Signal processing
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Associate Professor Claudia Hillenbrand
Faculty: Research & Enterprise
Fields of Research (FoR): Biomedical imaging, Radiology and organ imaging, Medical physics, Biomedical instrumentation, Image processing, Deep learning, Artificial intelligence, Neurosciences
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Faculty: Research & Enterprise
Fields of Research (FoR): Biomedical imaging, Radiology and organ imaging, Medical physics, Biomedical instrumentation, Image processing, Deep learning, Artificial intelligence, Neurosciences
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Dr Jo Plested
Faculty: UNSW Canberra
Fields of Research (FoR): Deep learning, Artificial intelligence, Machine learning
Faculty: UNSW Canberra
Fields of Research (FoR): Deep learning, Artificial intelligence, Machine learning
Jo Plested is an Associate Lecturer who has been researching deep learning for eight 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.

Professor Lina Yao
Faculty: Engineering
Fields of Research (FoR): Reinforcement learning, Deep learning, Data mining and knowledge discovery, Semi- and unsupervised learning, Recommender systems, Stream and sensor data, Neural networks, Data engineering and data science
Faculty: Engineering
Fields of Research (FoR): Reinforcement learning, Deep learning, Data mining and knowledge discovery, Semi- and unsupervised learning, Recommender systems, Stream and sensor data, Neural networks, Data engineering and data science
Prof. Lina Yao is currently a Senior Principal Research Scientist and Science Lead at CSIRO's Data61, and Conjoint Full Professor at UNSW.
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.

Dr Seid Miad Zandavi
Faculty: Science
Fields of Research (FoR): Bioinformatics and computational biology, Genomics and transcriptomics, Machine learning, Deep learning
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Faculty: Science
Fields of Research (FoR): Bioinformatics and computational biology, Genomics and transcriptomics, Machine learning, Deep learning
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Dr Mohammad Taleai
Faculty: Arts,Design & Architecture
Fields of Research (FoR): Geospatial information systems and geospatial data modelling, Urban informatics, Deep learning, Geoscience data visualisation, Urban geography, Geoinformatics
Faculty: Arts,Design & Architecture
Fields of Research (FoR): Geospatial information systems and geospatial data modelling, Urban informatics, Deep learning, Geoscience data visualisation, Urban geography, Geoinformatics
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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.