
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

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 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 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/

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 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 Kate Michie
Faculty: Research & Enterprise
Fields of Research (FoR): Artificial intelligence, Deep learning, Structural Biology (incl. Macromolecular Modelling), Biochemistry and Cell Biology not elsewhere classified, Biophysics, Microbiology not elsewhere classified
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Faculty: Research & Enterprise
Fields of Research (FoR): Artificial intelligence, Deep learning, Structural Biology (incl. Macromolecular Modelling), Biochemistry and Cell Biology not elsewhere classified, Biophysics, Microbiology not elsewhere classified
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Biography

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 degree at CBDRH UNSW in Australia.
Associate Professor Vidhyasaharan Sethu
Faculty: Engineering
Fields of Research (FoR): Signal processing, Machine learning, Statistical data science, Speech recognition, Artificial intelligence, Pattern recognition, Deep learning, Neural networks
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Faculty: Engineering
Fields of Research (FoR): Signal processing, Machine learning, Statistical data science, Speech recognition, Artificial intelligence, Pattern recognition, Deep learning, Neural networks
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Vidhyasaharan Sethu is an Associate Professor with the School of Electrical Engineering and Telecommunications. His primary research interests are in the field of speech signal processing.
Professor Julien Epps
Faculty: Engineering
Fields of Research (FoR): Affective computing, Speech recognition, Deep learning
Faculty: Engineering
Fields of Research (FoR): Affective computing, Speech recognition, Deep learning
Julien Epps received his BE (Hons I) and PhD degrees in Electrical Engineering f

Professor Eliathamby Ambikairajah
Faculty: Engineering
Fields of Research (FoR): Signal processing, Deep learning, Speech recognition, Neural networks, Engineering education
Faculty: Engineering
Fields of Research (FoR): Signal processing, Deep learning, Speech recognition, Neural networks, Engineering education
Professor Eliathamby Ambikairajah
BSc (Eng), PhD, FIET, CEng, FIEAust, CPEng, SMIEEE

Professor Lina Yao
Faculty: Engineering
Fields of Research (FoR): Reinforcement learning, Deep learning, Data mining and knowledge discovery, Semi- and unsupervised learning, Recommender systems, Stream and sensor data, Neural networks, Data engineering and data science
Faculty: Engineering
Fields of Research (FoR): Reinforcement learning, Deep learning, Data mining and knowledge discovery, Semi- and unsupervised learning, Recommender systems, Stream and sensor data, Neural networks, Data engineering and data science
Prof. Lina Yao is currently a Senior Principal Research Scientist and Science Lead at CSIRO's Data61, and Conjoint Full Professor at UNSW.

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.

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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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 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 Guangli Li
Faculty: Engineering
Fields of Research (FoR): Programming languages, Deep learning
Faculty: Engineering
Fields of Research (FoR): Programming languages, Deep learning
Guangli Li received his Ph.D. degree from the University of Chinese Academy of Sciences. His research interests lie at the intersection of programming systems and artificial intelligence.

Dr Hani Kim
Faculty: Medicine & Health
Fields of Research (FoR): Bioinformatics and computational biology, Cancer cell biology, Deep learning, Machine learning
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Faculty: Medicine & Health
Fields of Research (FoR): Bioinformatics and computational biology, Cancer cell biology, Deep learning, Machine learning
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Hani is a Senior Research Officer at the Swarbrick Lab and a conjoint lecturer at UNSW.

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.

Dr Mohammad Taleai
Faculty: Arts, Design & Architecture
Fields of Research (FoR): Geospatial information systems and geospatial data modelling, Urban informatics, Deep learning, Geoscience data visualisation, Urban geography, Geoinformatics
Faculty: Arts, Design & Architecture
Fields of Research (FoR): Geospatial information systems and geospatial data modelling, Urban informatics, Deep learning, Geoscience data visualisation, Urban geography, Geoinformatics
Dr.

Associate Professor Chinthaka Damith Balasooriya
Faculty: Medicine & Health
Fields of Research (FoR): Deep learning, Curriculum and pedagogy, Teacher education and professional development of educators, Higher education, Primary health care, Medicine, nursing and health curriculum and pedagogy
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Faculty: Medicine & Health
Fields of Research (FoR): Deep learning, Curriculum and pedagogy, Teacher education and professional development of educators, Higher education, Primary health care, Medicine, nursing and health curriculum and pedagogy
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Dr Chinthaka Balasooriya is a nationally recognised expert in Medical Education.

Dr Sirojan Tharmakulasingam
Faculty: Engineering
Fields of Research (FoR): Machine learning, Deep learning, Artificial intelligence, Signal processing, Data engineering and data science, Pattern recognition, High performance computing
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Faculty: Engineering
Fields of Research (FoR): Machine learning, Deep learning, Artificial intelligence, Signal processing, Data engineering and data science, Pattern recognition, High performance computing
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Dr Sirojan Tharmakulasingam is a Lecturer | Research and Development Coordinator with the Signals, Information & Machine Intelligence lab, UNSW Sydney.