Professor Michael Thielscher
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Knowledge representation and reasoning
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Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Knowledge representation and reasoning
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Professor Michael Thielscher is a Professor at the School of Computer Science and Engineering.
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 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 Yang Yu is a Research Fellow specialising in Structural Engineering and Construction Materials.
Dr Ripon Kumar Chakrabortty
Faculty: UNSW Canberra
Fields of Research (FoR): Planning and decision making, Artificial intelligence, Operations research, Evolutionary computation, Optimisation, Transportation, logistics and supply chains, Project management
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Faculty: UNSW Canberra
Fields of Research (FoR): Planning and decision making, Artificial intelligence, Operations research, Evolutionary computation, Optimisation, Transportation, logistics and supply chains, Project management
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Dr Ripon Kumar Chakrabortty is "A
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.
Mr Reda Mohamed Mohamed Ghanem
Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Intelligent robotics, Autonomous agents and multiagent systems, Satisfiability and optimisation
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Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Intelligent robotics, Autonomous agents and multiagent systems, Satisfiability and optimisation
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PhD Candidate in Computer Science at the University of New South Wales (UNSW), Australia, specializing in Artificial Intelligence, Swarm Intelligence, and Optimization.
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 Moslem Uddin
Faculty: UNSW Canberra
Fields of Research (FoR): Electrical energy storage, Artificial intelligence
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Faculty: UNSW Canberra
Fields of Research (FoR): Electrical energy storage, Artificial intelligence
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Moslem Uddin is a highly motivated and accomp
Md Rafiqul Islam
Faculty: UNSW Canberra
Fields of Research (FoR): Intelligent robotics, Field robotics, Computer vision, Artificial intelligence, Control engineering, mechatronics and robotics, Autonomous agents and multiagent systems, Autonomous Vehicles
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Faculty: UNSW Canberra
Fields of Research (FoR): Intelligent robotics, Field robotics, Computer vision, Artificial intelligence, Control engineering, mechatronics and robotics, Autonomous agents and multiagent systems, Autonomous Vehicles
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Dr.
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).
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 Thao Le
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Human-computer interaction, Fairness, accountability, transparency, trust and ethics of computer systems
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Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Human-computer interaction, Fairness, accountability, transparency, trust and ethics of computer systems
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Dr.
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/
Ms Yuchao Jiang
Faculty: Engineering
Fields of Research (FoR): Software engineering, Information systems, Artificial intelligence, Engineering design
Faculty: Engineering
Fields of Research (FoR): Software engineering, Information systems, Artificial intelligence, Engineering design
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.
Associate Professor Claudia Hillenbrand
Faculty: Research & Enterprise
Fields of Research (FoR): Biomedical imaging, Neurosciences, Image processing, Radiology and organ imaging, Medical physics, Biomedical instrumentation, Deep learning, Artificial intelligence
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Faculty: Research & Enterprise
Fields of Research (FoR): Biomedical imaging, Neurosciences, Image processing, Radiology and organ imaging, Medical physics, Biomedical instrumentation, Deep learning, Artificial intelligence
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Associate Professor Claudia Hillenbrand (PhD, MBA) is the inaugural Direc
Dr Jake Renzella
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Computing education, Education systems, Education assessment and evaluation, Learning analytics, Stochastic analysis and modelling
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Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Computing education, Education systems, Education assessment and evaluation, Learning analytics, Stochastic analysis and modelling
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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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Ms Rehana Khan Tajuddin Mohamed Akthar Khan
Faculty: Medicine & Health
Fields of Research (FoR): Ophthalmology and optometry, Artificial intelligence, Image processing
Faculty: Medicine & Health
Fields of Research (FoR): Ophthalmology and optometry, Artificial intelligence, Image processing
Ms Rehana Khan Tajuddin Mohamed Akthar Khan is
Dr Jeffery Chan
Faculty: Medicine & Health
Fields of Research (FoR): Artificial intelligence, Data engineering and data science, Health systems, Implementation science and evaluation, Patient safety
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Faculty: Medicine & Health
Fields of Research (FoR): Artificial intelligence, Data engineering and data science, Health systems, Implementation science and evaluation, Patient safety
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I am a Data Scientist and Researcher leading the data science component of a national initiative to develop a Learning Health System.
Dr Rebekah Harms
Faculty: Societal Impact Equity Engage
Fields of Research (FoR): Artificial intelligence, Bioethics, Research, science and technology policy, Synthetic biology
Faculty: Societal Impact Equity Engage
Fields of Research (FoR): Artificial intelligence, Bioethics, Research, science and technology policy, Synthetic biology
I am undertaking a three-year postdoctoral project titled: ‘Ensuring Equity and Accessibility in the Integration of Artificial Intelligence and Automated Decision-Making in Engineering Biology.’ Th