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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
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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Professor Flora Salim is the inaugural CISCO Chair of Digital Transport, UNSW Sydney.
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 Ram Prasad Mohanty
Faculty: UNSW Canberra
Fields of Research (FoR): Neural networks, Artificial intelligence, Machine learning, Distributed systems and algorithms, Concurrent/parallel systems and technologies, Bioinformatics and computational biology, Genomics
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Faculty: UNSW Canberra
Fields of Research (FoR): Neural networks, Artificial intelligence, Machine learning, Distributed systems and algorithms, Concurrent/parallel systems and technologies, Bioinformatics and computational biology, Genomics
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Dr Ram Prasad Mohanty is a Research Associate at UNSW Canberra at the Australian Defence Force Academy. He is a researcher with a passion for innovation.
Professor Hussein Abbass
Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Human-centred computing, Data management and data science, Intelligent robotics, Neural networks, Reinforcement learning, Evolutionary computation
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Faculty: UNSW Canberra
Fields of Research (FoR): Artificial intelligence, Machine learning, Human-centred computing, Data management and data science, Intelligent robotics, Neural networks, Reinforcement learning, Evolutionary computation
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IEEE Fellow. Founding Editor-in-Chief of IEEE Transactions on Artificial Intelligence.
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.
Dr 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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Dr Vidhyasaharan Sethu is a Senior Lecturer with the School of Electrical Engineering and Telecommunications. His primary research interests are in the field of speech signal processing.
Professor Guan Heng Yeoh
Faculty: Engineering
Fields of Research (FoR): Chemical and thermal processes in energy and combustion, Fire safety engineering, Structural engineering, Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics) , Multiphysics flows (incl. multiphase and reacting flows), Composite and hybrid materials, Functional materials, Polymers and plastics, Nanomaterials, Neural networks, Mechanical Engineering, Computational Fluid Dynamics, Computational Heat Transfer, Heat and Mass Transfer Operations, Interdisciplinary Engineering, Structural Engineering, Functional Materials, Composite and Hybrid Materials
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Faculty: Engineering
Fields of Research (FoR): Chemical and thermal processes in energy and combustion, Fire safety engineering, Structural engineering, Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics) , Multiphysics flows (incl. multiphase and reacting flows), Composite and hybrid materials, Functional materials, Polymers and plastics, Nanomaterials, Neural networks, Mechanical Engineering, Computational Fluid Dynamics, Computational Heat Transfer, Heat and Mass Transfer Operations, Interdisciplinary Engineering, Structural Engineering, Functional Materials, Composite and Hybrid Materials
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Professor Guan Heng Yeoh is from Mechanical and Manufacturing Engineering
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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.