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Dr Inma Tomeo-Reyes
Faculty: Engineering
Fields of Research (FoR): Signal Processing, Pattern Recognition, Knowledge Representation and Machine Learning
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Faculty: Engineering
Fields of Research (FoR): Signal Processing, Pattern Recognition, Knowledge Representation and Machine Learning
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My research over the course of my career encompasses studies related to signal and image processing, pattern recognition and machine learning.
Professor Nicole Kessissoglou
Faculty: Engineering
Fields of Research (FoR): Mechanical Engineering, Dynamics, Vibration and Vibration Control, Acoustics and Noise Control (excl. Architectural Acoustics)
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Faculty: Engineering
Fields of Research (FoR): Mechanical Engineering, Dynamics, Vibration and Vibration Control, Acoustics and Noise Control (excl. Architectural Acoustics)
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Professor Nicole Kessissoglou is from the School of Mechanical and Manufacturing Engineering. Her research interests include:
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.
Dr Arash Khatamianfar
Faculty: Engineering
Fields of Research (FoR): Electrical and Electronic Engineering, Control Engineering, Control Systems, Robotics and Automation, Automation and Control Engineering, Robotics and Mechatronics, Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics), Autonomous Vehicles, Renewable Power and Energy Systems Engineering (excl. Solar Cells), Calculus of Variations, Systems Theory and Control Theory
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Faculty: Engineering
Fields of Research (FoR): Electrical and Electronic Engineering, Control Engineering, Control Systems, Robotics and Automation, Automation and Control Engineering, Robotics and Mechatronics, Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics), Autonomous Vehicles, Renewable Power and Energy Systems Engineering (excl. Solar Cells), Calculus of Variations, Systems Theory and Control Theory
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Dr Arash Khatamianfar received his Bachelor of Science degree (B.Sc.) in Electrical Engineering with major in Electronics, and his Master of Science degree (M.S.c) in
Dr Melrose Brown
Faculty: UNSW Canberra
Fields of Research (FoR): Computational Fluid Dynamics, Aerospace Engineering, Mesospheric, Ionospheric and Magnetospheric Physics, Satellite, Space Vehicle and Missile Design
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Faculty: UNSW Canberra
Fields of Research (FoR): Computational Fluid Dynamics, Aerospace Engineering, Mesospheric, Ionospheric and Magnetospheric Physics, Satellite, Space Vehicle and Missile Design
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Dr Keith Francis Joiner
Faculty: UNSW Canberra
Fields of Research (FoR): Aerospace Engineering, Curriculum and Pedagogy, Artificial Intelligence and Image Processing, Information Systems Development Methodologies, Corporate Governance and Stakeholder Engagement
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Faculty: UNSW Canberra
Fields of Research (FoR): Aerospace Engineering, Curriculum and Pedagogy, Artificial Intelligence and Image Processing, Information Systems Development Methodologies, Corporate Governance and Stakeholder Engagement
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Dr Keith Joiner, CSC, PhD, MSc, MMgmt, BEng(Aero), CPPD, CPEng, MAIPM, MIEAust
Computational modelling to create a virtual map of arterial shape and blood flow
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Research Project seeking students: Cardiovascular disease is the single largest killer in the world, causing heart attacks and strokes. Experimental investigation of underlying principals are key in combating this epidemic, however individual considerations are still completely missing.
Modelling of Cardiac Electrical and Mechanical Function
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2D simplified computational model of cardiac contraction with mitral valve leaflet motion.
Using Biomedical Engineering to Personalise Heart Disease Treatment
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Research project seeking students: Stents are meshed wired scaffolds implanted into narrowed arteries to prevent heart attacks and strokes. They still fail in 1 in 10 patients besides being the most common treatment for the largest cause of death world-wide.
Machine Learning for Personalised Heart Disease Treatment
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Cardiovascular disease is the single largest killer in the world, causing heart attacks and strokes. Experimental investigation of underlying principals are key in combating this epidemic, however individual considerations are still completely missing.
Large-Scale Parameter Optimisation of Ionic Cell Models
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Biological systems models typically contain many parameters, many of which are hidden and cannot be determined experimentally in the same system.
Modelling Markup Language Representation for Biological Tissues
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Anatomically-accurate model of rabbit cardiac pacemaker tissue defined using the MML framework, illustrating a propagating electrical wavefront emanating from the central pacemaking site.
Modelling Cardiovascular–Rotary Blood Pump Interactions
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Simplified fluid-structure interaction model of ventricular assist flow in the presence of contracting heart wall and aortic valve leaflets. Ventricular inlet (left) and outlet (right) boundaries are shown as white squares, and ventricular assist flow occurs through the outlet at the bottom.