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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 Francisco Cruz Naranjo
Faculty: Engineering
Fields of Research (FoR): Intelligent robotics, Assistive robots and technology, Social robotics, Reinforcement learning, Artificial intelligence, Machine learning, Neural networks
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Faculty: Engineering
Fields of Research (FoR): Intelligent robotics, Assistive robots and technology, Social robotics, Reinforcement learning, Artificial intelligence, Machine learning, Neural networks
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*** I am currently recruiting PhD students to work on topics such as social and cognitive robotics, reinforcement learning, interactive machine learning, explainability, and multi-agent system

Dr Brendan Wright
Faculty: Engineering
Fields of Research (FoR): Condensed matter physics, Statistical data science, Machine learning, Photovoltaic devices (solar cells)
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Faculty: Engineering
Fields of Research (FoR): Condensed matter physics, Statistical data science, Machine learning, Photovoltaic devices (solar cells)
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Research data scientist and machine learning engineer; background in experimental physics, signals analysis, and software engineering; professional experience in technical

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 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.

Dr Xiaopeng Li
Faculty: Engineering
Fields of Research (FoR): Additive manufacturing, Metals and alloy materials, Biomaterials, Medical devices, Machine learning
Faculty: Engineering
Fields of Research (FoR): Additive manufacturing, Metals and alloy materials, Biomaterials, Medical devices, Machine learning
Dr Xiaopeng Li is currently a Senior Lecturer and Australian Research Council DECRA Fellow&nbs

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 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

Associate Professor Kristen Dena Marie Splinter
Faculty: Engineering
Fields of Research (FoR): Geomorphology and earth surface processes, Marine engineering, Ocean engineering, Natural hazards, Machine learning, Marine Engineering, Ocean Engineering, Marine Geoscience, Physical Oceanography, Natural Hazards, Environmental Engineering Modelling
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Faculty: Engineering
Fields of Research (FoR): Geomorphology and earth surface processes, Marine engineering, Ocean engineering, Natural hazards, Machine learning, Marine Engineering, Ocean Engineering, Marine Geoscience, Physical Oceanography, Natural Hazards, Environmental Engineering Modelling
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Associate Professor in the School of Civil and Environmental Engineering and Water Research Laboratory (WRL)

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 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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Mrs Sumana Biswas
Faculty: UNSW Canberra
Fields of Research (FoR): Autonomous agents and multiagent systems, Machine learning, Artificial intelligence, Decision making, Optimisation
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Faculty: UNSW Canberra
Fields of Research (FoR): Autonomous agents and multiagent systems, Machine learning, Artificial intelligence, Decision making, Optimisation
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Dr. Sumana Biswas is a confident, passionate devotee of Engineering with significant academic background.

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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Dr Dong Gong is a Lecturer in the School of Computer Science and Engineering.

Dr German Javier Castro Donoso
Faculty: Engineering
Fields of Research (FoR): Intelligent robotics, Artificial intelligence, Machine learning, Autonomous vehicle systems
Faculty: Engineering
Fields of Research (FoR): Intelligent robotics, Artificial intelligence, Machine learning, Autonomous vehicle systems

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 7 years. Her expertise is focused on transfer learning for small specialised datasets.

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 Postdoctoral Research Fellow in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, Australia.
Dr 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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2021 - Present: Deputy Director, UNSW Data Science Hub (uDASH), UNSW

Mr Ali Bakhshi
Faculty: Engineering
Fields of Research (FoR): Speech recognition, Deep learning, Machine learning, Pattern recognition, Data mining and knowledge discovery, Image processing
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Faculty: Engineering
Fields of Research (FoR): Speech recognition, Deep learning, Machine learning, Pattern recognition, Data mining and knowledge discovery, Image processing
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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.

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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Hussein Abbass is a Professor and currently Acting Deputy-Head of School - People with the School of Engineering and Information Technology at UNSW Canberra.

Dr Mohammad Rowshan
Faculty: Engineering
Fields of Research (FoR): Coding, information theory and compression, Machine learning, Communications engineering, Electronics, sensors and digital hardware
Faculty: Engineering
Fields of Research (FoR): Coding, information theory and compression, Machine learning, Communications engineering, Electronics, sensors and digital hardware
BEng(Hons) - Nottingham (2015), MSc - HKUST (2016), PhD - Monash (2021)

Professor Scott Anthony Sisson
Faculty: Science
Fields of Research (FoR): Applied statistics, Computational statistics, Statistical data science, Statistical theory, Statistics, Machine learning
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Faculty: Science
Fields of Research (FoR): Applied statistics, Computational statistics, Statistical data science, Statistical theory, Statistics, Machine learning
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ABOUT ME
Director of the UNSW Data Science Hub (uDASH)
Professor of Statistics and Data Science
Biography

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 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.

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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