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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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Mr Hamed Aboutorab
Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Reinforcement learning, Natural language processing, Logistics, Supply chains
Faculty: UNSW Canberra
Fields of Research (FoR): Machine learning, Reinforcement learning, Natural language processing, Logistics, Supply chains
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 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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I received my PhD in 2011 from the University of Sydney, before completing postdoctoral positions at the University of Sydney and Macquarie University in Sydney, and at McGill University in Montréa
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 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.
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 Sydney
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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Mr 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 PhD researcher (Engineering) and casual academic (Engineering) at Faculty of Engineering at The University of New South Wales (UNSW).
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 Parth Girdhar
Faculty: UNSW Canberra
Fields of Research (FoR): Foundations of quantum mechanics, Quantum engineering systems (incl. computing and communications), Quantum optics and quantum optomechanics, Mathematical aspects of quantum and conformal field theory, quantum gravity and string theory, Control engineering, Machine learning, Stochastic analysis and modelling
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Faculty: UNSW Canberra
Fields of Research (FoR): Foundations of quantum mechanics, Quantum engineering systems (incl. computing and communications), Quantum optics and quantum optomechanics, Mathematical aspects of quantum and conformal field theory, quantum gravity and string theory, Control engineering, Machine learning, Stochastic analysis and modelling
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My research is focused on theoretical quantum physics and engineering, using various techniques in mathematics and computer science.
Dr Heba El-Fiqi
Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Neural networks, Computational linguistics, Intelligent robotics, Data management and data science
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Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Neural networks, Computational linguistics, Intelligent robotics, Data management and data science
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Dr Heba El-Fiqi is a lecturer with the School of Engineering and Information Technology (SEIT), UNSW Canberra.
Dr Mohammad Karimi Moridani
Faculty: Science
Fields of Research (FoR): Machine learning, Deep learning, Data mining and knowledge discovery, Image processing, Signal processing
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Faculty: Science
Fields of Research (FoR): Machine learning, Deep learning, Data mining and knowledge discovery, Image processing, Signal processing
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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 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 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 Ian Gibson
Faculty: Engineering
Fields of Research (FoR): Electronics, sensors and digital hardware, Artificial intelligence, Machine learning, Computer vision and multimedia computation, Software engineering, Distributed computing and systems software
Faculty: Engineering
Fields of Research (FoR): Electronics, sensors and digital hardware, Artificial intelligence, Machine learning, Computer vision and multimedia computation, Software engineering, Distributed computing and systems software
Professor Ian Gibson has over 30 years of experience as a computer scientist and engineer and at executive level R&D management.
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
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.
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
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).
Professor Erik Meijering
Faculty: Engineering
Fields of Research (FoR): Computer vision, Image processing, Deep learning, Machine learning, Neural networks, Artificial intelligence, Pattern recognition, Biomedical imaging
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Faculty: Engineering
Fields of Research (FoR): Computer vision, Image processing, Deep learning, Machine learning, Neural networks, Artificial intelligence, Pattern recognition, Biomedical imaging
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Erik Meijering is a Professor of Biomedical Image Computing in the School of Computer Science and Engineering.