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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            Professional Experience:
2023 - Present: Associate Professor, School of Biotechnology and Biomolecular Sciences (BABS), UNSW 
      
  
  
    
      Dr Branislav   Hredzak
    
    
Faculty: Engineering
Fields of Research (FoR): Electrical energy transmission, networks and systems, Machine learning, Electrical energy generation (incl. renewables, excl. photovoltaics), Electrical energy storage, Control engineering, Power electronics, Photovoltaic power systems, Artificial intelligence not elsewhere classified, Distributed systems and algorithms
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Faculty: Engineering
Fields of Research (FoR): Electrical energy transmission, networks and systems, Machine learning, Electrical energy generation (incl. renewables, excl. photovoltaics), Electrical energy storage, Control engineering, Power electronics, Photovoltaic power systems, Artificial intelligence not elsewhere classified, Distributed systems and algorithms
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            CLICK HERE FOR MY HOMEPAGE
      
  
  
    
      Scientia Professor Gary   Froyland
    
    
Faculty: Science
Fields of Research (FoR): Applied mathematics, Pure mathematics, Numerical and computational mathematics, Ordinary differential equations, difference equations and dynamical systems, Dynamical systems in applications, Machine learning, Large and complex data theory, Optimisation, Operations research, Fundamental and theoretical fluid dynamics, Physical oceanography, Atmospheric dynamics, Geophysical and environmental fluid flows, Climate change science
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Faculty: Science
Fields of Research (FoR): Applied mathematics, Pure mathematics, Numerical and computational mathematics, Ordinary differential equations, difference equations and dynamical systems, Dynamical systems in applications, Machine learning, Large and complex data theory, Optimisation, Operations research, Fundamental and theoretical fluid dynamics, Physical oceanography, Atmospheric dynamics, Geophysical and environmental fluid flows, Climate change science
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            Scientia Professor Gary Froyland leads the ARC Laureate Centre for Dynamical Systems and Data.  His main areas 
      
  
  
    
      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 (Senior Member, IEEE) completed his B.Sc. degree (with the highest honors) from Abu Dhabi University in 2014, his M.Sc.
      
  
  
    
      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, is a board-certified psychiatrist with a PhD in Psychiatric Epidemiology from Johns Hopkins University and received his postdoc research training at Duke Uni
      
  
  
    
      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)
      
  
  
    
      Mr Yangyang   Shu
    
    
Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Computer vision, Semi- and unsupervised learning, Knowledge representation and reasoning
    
    
    
    
    
  
Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Computer vision, Semi- and unsupervised learning, Knowledge representation and reasoning
            Dr Yangyang Shu is an associate lecturer in the School of Systems and Computing at the University of New South Wales, Canberra.
      
  
  
    
      Dr Rishi Ravindra   Naik
    
    
Faculty: Engineering
Fields of Research (FoR): Food engineering, Food chemistry and food sensory science, Food sciences, Food sustainability, Machine learning, Optimisation, Proteins and peptides, Proteomics and intermolecular interactions (excl. medical proteomics), Food packaging, preservation and processing
    
    
    
    
    
  
Faculty: Engineering
Fields of Research (FoR): Food engineering, Food chemistry and food sensory science, Food sciences, Food sustainability, Machine learning, Optimisation, Proteins and peptides, Proteomics and intermolecular interactions (excl. medical proteomics), Food packaging, preservation and processing
            Dr. Rishi  Naik is a research associate at school of Chemical engineering and a member of CRL lab led by prof. Cordelia Selomulya.
      
  
  
    
      Dr Rabbia   Saleem
    
    
Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Artificial intelligence, Space sciences, Cybersecurity and privacy
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Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Artificial intelligence, Space sciences, Cybersecurity and privacy
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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
      
  
  
    
      Dr 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 Postdoctoral Fellow (Engineering) and casual academic (Engineering) at Faculty of Engineering at The University of New South Wales (UNSW).
      
  
  
    
      Dr Jia   Guo
    
    
Faculty: Engineering
Fields of Research (FoR): Operations research, Optimisation, Modelling and simulation, Machine learning, Rail transportation and freight services, Air transportation and freight services, Stochastic analysis and modelling
    
    
    
    
    
  
Faculty: Engineering
Fields of Research (FoR): Operations research, Optimisation, Modelling and simulation, Machine learning, Rail transportation and freight services, Air transportation and freight services, Stochastic analysis and modelling
            Dr Jia Guo is a research associate at the Research Centre for Integrated Transport Innovation 
      
  
  
    
      Dr Shaveen   Singh
    
    
Faculty: Engineering
Fields of Research (FoR): Human-computer interaction, Learning analytics, Machine learning, Learning, motivation and emotion, Information visualisation, Computing education
    
    
    
    
    
  
Faculty: Engineering
Fields of Research (FoR): Human-computer interaction, Learning analytics, Machine learning, Learning, motivation and emotion, Information visualisation, Computing education
            I am a Lecturer in the School of Computer Science and Engineering (CSE) at 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 over $37K AUD for domestic and international students are available for Masters an
      
  
  
    
      Dr Sarat   Moka
    
    
Faculty: Science
Fields of Research (FoR): Computational statistics, Probability theory, Machine learning, Deep learning, Optimisation
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Faculty: Science
Fields of Research (FoR): Computational statistics, Probability theory, Machine learning, Deep learning, Optimisation
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Homepage: https://saratmoka.com
      
  
  
    
      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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Director of the UNSW Data Science Hub (uDASH)
Deputy Director, Data Science, of the UNSW AI Institute (UNSW.ai)
Professor of Statistics and Data Science
      
  
  
    
      Mr Leibo   Liu
    
    
Faculty: Medicine & Health
Fields of Research (FoR): Machine learning, Deep learning, Natural language processing, Artificial intelligence, Semi- and unsupervised learning, Data engineering and data science
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Faculty: Medicine & Health
Fields of Research (FoR): Machine learning, Deep learning, Natural language processing, Artificial intelligence, Semi- and unsupervised learning, Data engineering and data science
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            I obtained my PhD at the Centre for Big Data Research in Health (CBDRH), University of New South Wales (UNSW), Australia.
      
  
  
    
      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/
      
  
  
    
      Dr Heba   El-Fiqi
    
    
Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Neural networks, Computational linguistics, Intelligent robotics, Autonomous agents and multiagent systems, Data engineering and data science, Deep learning, Semi- and unsupervised learning, Machine learning not elsewhere classified
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Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Neural networks, Computational linguistics, Intelligent robotics, Autonomous agents and multiagent systems, Data engineering and data science, Deep learning, Semi- and unsupervised learning, Machine learning not elsewhere classified
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            Dr Heba El-Fiqi is a lecturer with the School of Engineering and Information Technology (SEIT), UNSW Canberra.
      
  
  
    
      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.
      
  
  
    
      Dr Sara   Shirowzhan
    
    
Faculty: Arts, Design & Architecture
Fields of Research (FoR): Information systems for sustainable development and the public good, Building information modelling and management, Geospatial information systems and geospatial data modelling, Automation and technology in building and construction, Urban informatics, Machine learning, Deep learning, Artificial intelligence, Disaster and emergency management, Housing markets, development and management
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Faculty: Arts, Design & Architecture
Fields of Research (FoR): Information systems for sustainable development and the public good, Building information modelling and management, Geospatial information systems and geospatial data modelling, Automation and technology in building and construction, Urban informatics, Machine learning, Deep learning, Artificial intelligence, Disaster and emergency management, Housing markets, development and management
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            Dr Sara Shirowzhan is a senior lectur
      
  
  
    
      Dr Fan   Zhang
    
    
Faculty: Medicine & Health
Fields of Research (FoR): Bioinformatics and computational biology, Microbiology, Machine learning, Modelling and simulation
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Faculty: Medicine & Health
Fields of Research (FoR): Bioinformatics and computational biology, Microbiology, Machine learning, Modelling and simulation
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            I received PhD in Computer Science from Nanyang Technological University Singapore.
      
  
  
    
      Dr Van Duc   Le
    
    
Faculty: Engineering
Fields of Research (FoR): Cyberphysical systems and internet of things, Sensory systems, Stream and sensor data, Energy-efficient computing, Mobile computing, Machine learning, Reinforcement learning
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Faculty: Engineering
Fields of Research (FoR): Cyberphysical systems and internet of things, Sensory systems, Stream and sensor data, Energy-efficient computing, Mobile computing, Machine learning, Reinforcement learning
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            Van Duc Le is currently working as a Postdoctoral Fellow at School of Electrical Engineering and Telecommunications, UNSW Sydney.
      
  
  
    
      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 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