Associate Professor Matt Woolley
Faculty: UNSW Canberra
Fields of Research (FoR): Quantum technologies, Quantum optics and quantum optomechanics, Signal processing, Control engineering, Machine learning
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Faculty: UNSW Canberra
Fields of Research (FoR): Quantum technologies, Quantum optics and quantum optomechanics, Signal processing, Control engineering, Machine learning
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Scholarships of $39,206 AUD per annum are potentially available for PhD candidates in the areas of quantum learning machines, quantum control, quantum optics, and quantum optomechanics.
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
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 of IEEE, FHEA) completed his B.Sc. degree (with the highest honors) from Abu Dhabi University in 2014, his M.Sc.
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.
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:
2026 - Present: Professor, School of Biotechnology and Biomolecular Sciences (BABS), UNSW
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 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 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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Dr Xiongcai Cai
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Computer vision, Natural language processing, Recommender systems, Health informatics and information systems
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Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Computer vision, Natural language processing, Recommender systems, Health informatics and information systems
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Dr Xiongcai Cai is an Adjunct Associate Professor with the School of Computer Science and Engineering. His current research interests include:
Dr 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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Maryam Bostanara is a Postdoctoral Research Associate at the City Futures Research Centre, UNSW.
Dr Mehrdad Mansouri
Faculty: Medicine & Health
Fields of Research (FoR): Machine learning, Bioinformatics and computational biology
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Faculty: Medicine & Health
Fields of Research (FoR): Machine learning, Bioinformatics and computational biology
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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
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.
Associate Professor Yang Song
Faculty: Engineering
Fields of Research (FoR): Computer vision, Deep learning, Pattern recognition, Machine learning, Applications in health, Graph, social and multimedia data, Intelligent robotics, Data mining and knowledge discovery
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Faculty: Engineering
Fields of Research (FoR): Computer vision, Deep learning, Pattern recognition, Machine learning, Applications in health, Graph, social and multimedia data, Intelligent robotics, Data mining and knowledge discovery
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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).
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 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
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