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Professor Hussein Abbass
Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Human-centred computing, Data management and data science, Intelligent robotics, Neural networks, Reinforcement learning, Evolutionary computation
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Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Human-centred computing, Data management and data science, Intelligent robotics, Neural networks, Reinforcement learning, Evolutionary computation
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A Fellow of IEEE and the Founding Editor-in-Chief for the IEEE

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 is a trained psychiatrist with a PhD in Psychiatric Epidemiology from Johns Hopkins University.

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

Miss Rabbia Saleem
Faculty: UNSW Canberra
Fields of Research (FoR): Space sciences, Machine learning, Artificial intelligence, Astrodynamics and space situational awareness
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Faculty: UNSW Canberra
Fields of Research (FoR): Space sciences, Machine learning, Artificial intelligence, Astrodynamics and space situational awareness
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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 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

Dr Parth Girdhar
Faculty: UNSW Canberra
Fields of Research (FoR): Foundations of quantum mechanics, Quantum engineering systems (incl. computing and communications), Quantum optics and quantum optomechanics, Mathematical aspects of quantum and conformal field theory, quantum gravity and string theory, Control engineering, Machine learning, Stochastic analysis and modelling
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Faculty: UNSW Canberra
Fields of Research (FoR): Foundations of quantum mechanics, Quantum engineering systems (incl. computing and communications), Quantum optics and quantum optomechanics, Mathematical aspects of quantum and conformal field theory, quantum gravity and string theory, Control engineering, Machine learning, Stochastic analysis and modelling
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Currently, I am Postdoctoral Research Associate at UNSW Canberra.
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.

Ms 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 Ram Prasad Mohanty
Faculty: UNSW Canberra
Fields of Research (FoR): Neural networks, Artificial intelligence, Machine learning, Distributed systems and algorithms, Concurrent/parallel systems and technologies, Bioinformatics and computational biology, Genomics
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Faculty: UNSW Canberra
Fields of Research (FoR): Neural networks, Artificial intelligence, Machine learning, Distributed systems and algorithms, Concurrent/parallel systems and technologies, Bioinformatics and computational biology, Genomics
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Dr Ram Prasad Mohanty is a Research Associate at UNSW Canberra at the Australian Defence Force Academy. He is a researcher with a passion for innovation.
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.

Dr Aline Ibrahim Maalouf
Faculty: UNSW Canberra
Fields of Research (FoR): Control engineering, Machine learning, Artificial intelligence
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Faculty: UNSW Canberra
Fields of Research (FoR): Control engineering, Machine learning, Artificial intelligence
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Aline Maalouf holds BSc. and MSc. degrees in Electrical Engineering, an Mphil degree in Control Engineering from Cambridge University in UK and a PhD. in quantum control from UNSW ADFA.

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
Associate Editor, Frontiers in Materials (IF: 3.985)

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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Personal website - https://donggong1.github.io/

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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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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Dr Minzhao Lyu
Faculty: Engineering
Fields of Research (FoR): Networking and communications, Cybersecurity and privacy, Machine learning
Faculty: Engineering
Fields of Research (FoR): Networking and communications, Cybersecurity and privacy, Machine learning
Minzhao Lyu received his B.Eng. (First Class Hons.) and Ph.D. degree from the University of New South Wales, Sydney, Australia in 2017 and 2022 respectively.

Mr Hamed Aboutorab
Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Reinforcement learning, Natural language processing, Logistics, Supply chains
Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Reinforcement learning, Natural language processing, Logistics, Supply chains

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.

Dr Fan Zhang
Faculty: Medicine & Health
Fields of Research (FoR): Bioinformatics and computational biology, Machine learning, Statistical data science, Computational imaging
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Faculty: Medicine & Health
Fields of Research (FoR): Bioinformatics and computational biology, Machine learning, Statistical data science, Computational imaging
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I received PhD in Computer Science from Nanyang Technological University Singapore.
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 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 Min Wang
Faculty: UNSW Canberra
Fields of Research (FoR): Pattern recognition, Machine learning, Cryptography, Information systems
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Faculty: UNSW Canberra
Fields of Research (FoR): Pattern recognition, Machine learning, Cryptography, Information systems
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I am a Research Associate at the School of Engineering and Information Technology, University of New South Wales, Canberra, Australia.

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 the Head of the School of Risk and Actuarial Studies at the University of New South Wales, Australia, which has grown to be one of the largest and most successful actuaria

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