
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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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 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 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

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 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.

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.

Professor Fethi Rabhi
Faculty: Engineering
Fields of Research (FoR): Software engineering, Software architecture, Service oriented computing, Business analytics, Business information systems, Information systems development methodologies and practice, Banking, finance and investment, Cloud computing, Machine learning, Data engineering and data science, Information modelling, management and ontologies, Automated software engineering, Requirements engineering, Health informatics and information systems, Computer Software, Software Engineering, Web Technologies (excl. Web Search), Banking, Finance and Investment, Business Information Systems (incl. Data Processin
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Faculty: Engineering
Fields of Research (FoR): Software engineering, Software architecture, Service oriented computing, Business analytics, Business information systems, Information systems development methodologies and practice, Banking, finance and investment, Cloud computing, Machine learning, Data engineering and data science, Information modelling, management and ontologies, Automated software engineering, Requirements engineering, Health informatics and information systems, Computer Software, Software Engineering, Web Technologies (excl. Web Search), Banking, Finance and Investment, Business Information Systems (incl. Data Processin
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Professor, School of Computer Science and Engineering.

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 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 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 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.

Associate Professor Gustavo Batista
Faculty: Engineering
Fields of Research (FoR): Machine learning, Data mining and knowledge discovery, Time series and spatial modelling, Stream and sensor data, Knowledge Representation and Machine Learning, Pattern Recognition and Data Mining
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Faculty: Engineering
Fields of Research (FoR): Machine learning, Data mining and knowledge discovery, Time series and spatial modelling, Stream and sensor data, Knowledge Representation and Machine Learning, Pattern Recognition and Data Mining
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I joined UNSW as an associate professor in 2018, after working for more than ten years for the University of Sao Paulo (USP).

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 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.

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 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.

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).

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

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

Mr Devin Yuncheng Hua
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Natural language processing, Knowledge representation and reasoning, Machine learning, Autonomous agents and multiagent systems
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Natural language processing, Knowledge representation and reasoning, Machine learning, Autonomous agents and multiagent systems
Dr. Devin Yuncheng Hua is a Postdoctoral Fellow working in the School of Computer Science and Engineering (CSE) at UNSW.

Dr Piotr Koniusz
Faculty: Engineering
Fields of Research (FoR): Computer vision, Machine learning, Artificial intelligence
Faculty: Engineering
Fields of Research (FoR): Computer vision, Machine learning, Artificial intelligence
Adjunct Associate Professor https://www.koniusz.com

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