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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, Computing education, Engineering education
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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, Computing education, Engineering education
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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.
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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
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Professor Matt Garratt
Faculty: UNSW Canberra
Fields of Research (FoR): Control engineering, mechatronics and robotics, Artificial intelligence, Computer vision, Machine learning
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Faculty: UNSW Canberra
Fields of Research (FoR): Control engineering, mechatronics and robotics, Artificial intelligence, Computer vision, Machine learning
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Scholarships of $35K AUD for domestic and international students are available for Masters and PhD
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Associate Professor Susann Beier
Faculty: Engineering
Fields of Research (FoR): Cardiology (incl. cardiovascular diseases), Biomedical engineering, Bio-fluids, Machine learning
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Faculty: Engineering
Fields of Research (FoR): Cardiology (incl. cardiovascular diseases), Biomedical engineering, Bio-fluids, Machine learning
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Dr. Susann Beier is a renowned researcher in the field of biomedical engineering, specialising in cardiovascular health and machine learning.
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Dr Erin Goddard
Faculty: Science
Fields of Research (FoR): Vision science, Sensory processes, perception and performance, Neurosciences, Machine learning, Pattern recognition, Cognitive neuroscience
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Faculty: Science
Fields of Research (FoR): Vision science, Sensory processes, perception and performance, Neurosciences, Machine learning, Pattern recognition, Cognitive neuroscience
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I received my PhD in 2011 from the University of Sydney, before completing postdoctoral positions at the University of Sydney and Macquarie University in Sydney, and at McGill University in Montréa
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Mrs Maryam Bostanara
Faculty: Arts, Design & Architecture
Fields of Research (FoR): Transport planning, Econometric and statistical methods, Machine learning, Optimisation
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Faculty: Arts, Design & Architecture
Fields of Research (FoR): Transport planning, Econometric and statistical methods, Machine learning, Optimisation
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I am a Research Associate at the City Futures Research Centre (CFRC), School of Built Environment, UNSW Sydney.
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Ms Alba Olivares Nadal
Faculty: Business
Fields of Research (FoR): Operations research, Applied statistics, Machine learning, Decision making
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Faculty: Business
Fields of Research (FoR): Operations research, Applied statistics, Machine learning, Decision making
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I am an academic with strong roots in the intersection between theoretical and applied mathema
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Dr Minzhao Lyu
Faculty: Engineering
Fields of Research (FoR): Networking and communications, Machine learning, System and network security
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Faculty: Engineering
Fields of Research (FoR): Networking and communications, Machine learning, System and network security
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Minzhao Lyu received his B.Eng. (First Class Hons.) and Ph.D. degrees from the University of New South Wales, Sydney, Australia in 2017 and 2022, respectively.
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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. She is also currently the Associate Head of School (Research).
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Dr Daniel Lin
Faculty: Medicine & Health
Fields of Research (FoR): Neurogenetics, Statistical and quantitative genetics, Public health, Behavioural epidemiology, Environmental epidemiology, Machine learning
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Faculty: Medicine & Health
Fields of Research (FoR): Neurogenetics, Statistical and quantitative genetics, Public health, Behavioural epidemiology, Environmental epidemiology, Machine learning
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Dr Lin, an adjunct associate professor at UNSW and associate professor at Saint Louis University, is a trained psychiatrist with a PhD in Psychiatric Epidemiology from Johns Hopkins University and
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Dr Hani Kim
Faculty: Medicine & Health
Fields of Research (FoR): Bioinformatics and computational biology, Cancer cell biology, Deep learning, Machine learning
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Faculty: Medicine & Health
Fields of Research (FoR): Bioinformatics and computational biology, Cancer cell biology, Deep learning, Machine learning
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Hani is a Senior Research Officer at the Swarbrick Lab and a conjoint lecturer at UNSW.
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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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Dr Ahmed S. Musleh
Faculty: Engineering
Fields of Research (FoR): Electrical engineering, Cybersecurity and privacy, Cyberphysical systems and internet of things, Electrical energy transmission, networks and systems, Machine learning
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Faculty: Engineering
Fields of Research (FoR): Electrical engineering, Cybersecurity and privacy, Cyberphysical systems and internet of things, Electrical energy transmission, networks and systems, Machine learning
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Ahmed S. Musleh completed his B.Sc. degree (with the highest honors) from Abu Dhabi University in 2014, his M.Sc.
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Dr Yang Yu
Faculty: Engineering
Fields of Research (FoR): Civil engineering, Structural engineering, Construction materials, Artificial intelligence, Machine learning
Faculty: Engineering
Fields of Research (FoR): Civil engineering, Structural engineering, Construction materials, Artificial intelligence, Machine learning
Dr.
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Professor Roland Goecke
Faculty: UNSW Canberra
Fields of Research (FoR): Affective computing, Human-centred computing, Computer vision, Artificial intelligence, Human-computer interaction, Machine learning, Pattern recognition, Assistive robots and technology
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Faculty: UNSW Canberra
Fields of Research (FoR): Affective computing, Human-centred computing, Computer vision, Artificial intelligence, Human-computer interaction, Machine learning, Pattern recognition, Assistive robots and technology
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Roland Goecke, Ph.D. is Professor of Affective Computing and Head of School, School of Systems & Computing at the UNSW Canberra campus.
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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 10 years. Her expertise is focused on transfer learning for small specialised datasets.
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Professor Bernard Ho Yin Wong
Faculty: Business
Fields of Research (FoR): Insurance studies, Investment and risk management, Machine learning, Artificial intelligence, Stochastic analysis and modelling
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Faculty: Business
Fields of Research (FoR): Insurance studies, Investment and risk management, Machine learning, Artificial intelligence, Stochastic analysis and modelling
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Professor Bernard Wong is Head of the School, Risk and Actuarial Studies at the University of New South Wales, Australia, which has grown to be one of the largest and most successful risk and actua
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Dr Timothy Neal
Faculty: Business
Fields of Research (FoR): Econometrics, Human impacts of climate change and human adaptation, Panel data analysis, Machine learning, Consumer behaviour
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Faculty: Business
Fields of Research (FoR): Econometrics, Human impacts of climate change and human adaptation, Panel data analysis, Machine learning, Consumer behaviour
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Tim is a Scientia Senior Lecturer in the School of Economics and also the Institute for Climate Risk & R
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Dr Min Wang
Faculty: UNSW Canberra
Fields of Research (FoR): Pattern recognition, Human-centred computing, Machine learning, Information systems
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Faculty: UNSW Canberra
Fields of Research (FoR): Pattern recognition, Human-centred computing, Machine learning, Information systems
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I am a researcher in computational intelligence and human-centred computing.
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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Vidhyasaharan Sethu is an Associate Professor with the School of Electrical Engineering and Telecommunications. His primary research interests are in the field of speech signal processing.
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Dr Annette Mary Spooner
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Software engineering, Data mining and knowledge discovery, Data engineering and data science
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Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Software engineering, Data mining and knowledge discovery, Data engineering and data science
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I obtained a PhD in Computer Science from the Univers
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Syed Danial Ali Shah
Faculty: UNSW Canberra
Fields of Research (FoR): Cyberphysical systems and internet of things, Networking and communications, Wireless communication systems and technologies (incl. microwave and millimetrewave), Cybersecurity and privacy, Machine learning, System and network security
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Faculty: UNSW Canberra
Fields of Research (FoR): Cyberphysical systems and internet of things, Networking and communications, Wireless communication systems and technologies (incl. microwave and millimetrewave), Cybersecurity and privacy, Machine learning, System and network security
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Dr. Shah is a Postdoctoral Research Associate at the School of Engineering and Information Technology at the University of New South Wales, Canberra, ADFA. He completed his Ph.D.
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Professor Hussein Abbass
Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Human-centred computing, Operations research
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Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Human-centred computing, Operations research
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IEEE Fellow. Founding Editor-in-Chief of IEEE Transactions on Artificial Intelligence.
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Dr Rabbia Saleem
Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Artificial intelligence, Space sciences
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Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Artificial intelligence, Space sciences
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Dr Reza Argha
Faculty: Engineering
Fields of Research (FoR): Biomedical engineering, Health informatics and information systems, Machine learning, Deep learning, Artificial intelligence, Signal processing, Digital health, Aged health care, Control Systems, Robotics and Automation, Biomedical Engineering, Biomedical Instrumentation, Rehabilitation Engineering, Health Informatics, Pattern Recognition and Data Mining, Computer Vision
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Faculty: Engineering
Fields of Research (FoR): Biomedical engineering, Health informatics and information systems, Machine learning, Deep learning, Artificial intelligence, Signal processing, Digital health, Aged health care, Control Systems, Robotics and Automation, Biomedical Engineering, Biomedical Instrumentation, Rehabilitation Engineering, Health Informatics, Pattern Recognition and Data Mining, Computer Vision
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He is currently a Lecturer at the Graduate School of Biomedical Engineering, UNSW, Sydney, using his skills in biomedical system modelling and control, signal processing, data analysis and ma