Dr Hossein Rahimpour
Faculty: Engineering
Fields of Research (FoR): Electrical engineering, Electrical energy transmission, networks and systems, Cybersecurity and privacy, Cyberphysical systems and internet of things, Machine learning
Keywords:
Faculty: Engineering
Fields of Research (FoR): Electrical engineering, Electrical energy transmission, networks and systems, Cybersecurity and privacy, Cyberphysical systems and internet of things, Machine learning
Keywords:
Dr Dong Gong
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Computer vision, Data engineering and data science, Deep learning
Keywords:
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Computer vision, Data engineering and data science, Deep learning
Keywords:
Senior Lecturer&ARC DECRA Fellow@CSE; working on Self-Improving AI, LLMs, MLLMs, Diffusion Models.
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
Keywords:
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
Keywords:
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 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 Sara Shirowzhan
Faculty: Arts, Design & Architecture
Fields of Research (FoR): Building information modelling and management, Geospatial information systems and geospatial data modelling, Automation and technology in building and construction, Urban informatics, Artificial intelligence, Machine learning, Deep learning, Disaster and emergency management, Housing markets, development and management, Information systems for sustainable development and the public good
Keywords:
Faculty: Arts, Design & Architecture
Fields of Research (FoR): Building information modelling and management, Geospatial information systems and geospatial data modelling, Automation and technology in building and construction, Urban informatics, Artificial intelligence, Machine learning, Deep learning, Disaster and emergency management, Housing markets, development and management, Information systems for sustainable development and the public good
Keywords:
Dr Sara Shirowzhan is a Senior Lecturer at the School of Built Environment.
Dr Jia Guo
Faculty: Business
Fields of Research (FoR): Operations research, Optimisation, Modelling and simulation, Machine learning, Rail transportation and freight services, Air transportation and freight services, Stochastic analysis and modelling
Faculty: Business
Fields of Research (FoR): Operations research, Optimisation, Modelling and simulation, Machine learning, Rail transportation and freight services, Air transportation and freight services, Stochastic analysis and modelling
Dr Jia Guo is a research associate at the Research Centre for Integrated Transport Innovation
Dr Branislav Hredzak
Faculty: Engineering
Fields of Research (FoR): Electrical energy transmission, networks and systems, Machine learning, Electrical energy generation (incl. renewables, excl. photovoltaics), Electrical energy storage, Control engineering, Power electronics, Photovoltaic power systems, Artificial intelligence not elsewhere classified, Distributed systems and algorithms
SEO tags:
Keywords:
Faculty: Engineering
Fields of Research (FoR): Electrical energy transmission, networks and systems, Machine learning, Electrical energy generation (incl. renewables, excl. photovoltaics), Electrical energy storage, Control engineering, Power electronics, Photovoltaic power systems, Artificial intelligence not elsewhere classified, Distributed systems and algorithms
SEO tags:
Keywords:
CLICK HERE FOR MY HOMEPAGE
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
SEO tags:
Keywords:
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
SEO tags:
Keywords:
Professor in the School of Civil and Environmental Engineering and Managing Director, Water Research Laboratory (WRL)
Associate Professor 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
Associate Professor - Theoretical Machine Learning https://www.koniusz.com
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
SEO tags:
Keywords:
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
SEO tags:
Keywords:
Ahmed S. Musleh (SMIEEE, FHEA) completed his B.Sc. degree (with the highest honors) from Abu Dhabi University in 2014, his M.Sc.
Mr Bao Doan
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Cybersecurity and privacy, Adversarial machine learning, Machine learning
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Cybersecurity and privacy, Adversarial machine learning, Machine learning
Dr Md Mahmudul Hasan
Faculty: Engineering
Fields of Research (FoR): Electrical engineering, Biomedical engineering, Machine learning, Deep learning, Artificial intelligence, Signal processing
Keywords:
Faculty: Engineering
Fields of Research (FoR): Electrical engineering, Biomedical engineering, Machine learning, Deep learning, Artificial intelligence, Signal processing
Keywords:
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 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.
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 Mehrdad Mansouri
Faculty: Medicine & Health
Fields of Research (FoR): Machine learning
Keywords:
Faculty: Medicine & Health
Fields of Research (FoR): Machine learning
Keywords:
I am a Research Fellow at the Centre for Big Data Research in Health (CBDRH), UNSW Sydney.
Dr Maryam Bostanara
Faculty: Operations Division
Fields of Research (FoR): Transport planning, Econometric and statistical methods, Machine learning, Optimisation
Keywords:
Faculty: Operations Division
Fields of Research (FoR): Transport planning, Econometric and statistical methods, Machine learning, Optimisation
Keywords:
Maryam Bostanara is a Postdoctoral Research Associate at the City Futures Research Centre, 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
SEO tags:
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
SEO tags:
Sonit Singh is a Lecturer in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, Australia.
Dr Sarat Moka
Faculty: Science
Fields of Research (FoR): Computational statistics, Probability theory, Machine learning, Deep learning, Optimisation
SEO tags:
Keywords:
Faculty: Science
Fields of Research (FoR): Computational statistics, Probability theory, Machine learning, Deep learning, Optimisation
SEO tags:
Keywords:
Homepage: https://saratmoka.com
Dr 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
Keywords:
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
Keywords:
I earned my PhD at the Centre for Big Data Research in Health (CBDRH), University of New South Wales (UNSW), Australia.
Professor Fatemeh Vafaee
Faculty: Science
Fields of Research (FoR): Artificial intelligence, Systems biology, Bioinformatics and computational biology, Genomics and transcriptomics, Machine learning, Deep learning
SEO tags:
Keywords:
Faculty: Science
Fields of Research (FoR): Artificial intelligence, Systems biology, Bioinformatics and computational biology, Genomics and transcriptomics, Machine learning, Deep learning
SEO tags:
Keywords:
Professional Experience:
2026 - Present: Professor, School of Biotechnology and Biomolecular Sciences (BABS), UNSW
Mr Rahm Ranjan
Faculty: Medicine & Health
Fields of Research (FoR): Computer vision, Applications in health, Modelling and simulation, Biomechanics, Machine learning, Curriculum and pedagogy
SEO tags:
Keywords:
Faculty: Medicine & Health
Fields of Research (FoR): Computer vision, Applications in health, Modelling and simulation, Biomechanics, Machine learning, Curriculum and pedagogy
SEO tags:
Keywords:
Rahm is a dedicated researcher and lecturer passionate about harnessing innovation and technology to improve health access and clinical outcomes.
Associate Professor Oliver Obst
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Coding, information theory and compression, Manufacturing processes and technologies (excl. textiles), Assistive robots and technology
SEO tags:
Keywords:
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Coding, information theory and compression, Manufacturing processes and technologies (excl. textiles), Assistive robots and technology
SEO tags:
Keywords:
Oliver Obst is an Associate Professor in Robotics in the School of Computer Science and Engineering at UNSW Sydney.
Dr Xiongcai Cai
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Computer vision, Natural language processing, Recommender systems, Health informatics and information systems
SEO tags:
Faculty: Engineering
Fields of Research (FoR): Artificial intelligence, Machine learning, Computer vision, Natural language processing, Recommender systems, Health informatics and information systems
SEO tags:
Dr Xiongcai Cai is an Adjunct Associate Professor with the School of Computer Science and Engineering. His current research interests include:
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
Keywords:
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
Keywords:
He is currently a Lecturer at the Graduate School of Biomedical Engineering, UNSW Sydney, where he applies expertise in biomedical system modelling and control, signal and image processing, health
Associate Professor Matt Woolley
Faculty: UNSW Canberra
Fields of Research (FoR): Quantum technologies, Quantum optics and quantum optomechanics, Signal processing, Control engineering, Machine learning
SEO tags:
Faculty: UNSW Canberra
Fields of Research (FoR): Quantum technologies, Quantum optics and quantum optomechanics, Signal processing, Control engineering, Machine learning
SEO tags:
Scholarships of $39,206 AUD per annum are potentially available for PhD candidates in the areas of quantum learning machines, quantum control, quantum optics, and quantum optomechanics.