UQ Robotics | UQ Robotics. Research opportunities. Study Opportunities | Biomedical Engineering. What is Biomedical Engineering? Biomedical engineering (BME) is a rapidly growing transdisciplinary field that bridges the gap between technology, medicine and biology. The core aim of BME is to find practical solutions in medical and biomedical sciences using engineering approaches and analyses. There are many areas in health care where engineering approaches are needed, for example, developing life support systems, designing devices to aid the impaired or disabled, or creating systems to allow better diagnosis of medical disorders.
Consequently Biomedical Engineers are vital in the management of technology in hospitals and health care deliver. For more information on Biomedical Engineering see the IEEE careers guide What do Biomedical Engineers do? Working closely with health care professionals, Biomedical Engineers use their engineering expertise to analyse and solve problems in biological and medical areas with the aim of improving health care. What makes a good Biomedical Engineer? Projects | Cognitive Systems Engineering. The research conducted by the Cognitive Systems Engineering Group (CERG) is multifaceted - some of the research topics the group is currently working on include: Healthcare - Includes the development of auditory and visual interfaces that help critical care physicians maintain better awareness of patients' vital signs and select better treatments Air Traffic Control - Includes the modelling of human mental workload to help the design of air traffic sectors in the future Advanced Displays - Investigates the effectiveness and safety of head-mounted displays for real-world contexts Power Systems - Includes the development of displays for control rooms that integrate information across energy sources, generation and market areas across different timeframes.
Process Control - Analyses the information needs of human operators when handling unexpected events such as in chemical or refining plants More information about current projects. Projects | Complex & Intelligent Systems. Bio-inspired Robotics (iRat): Bio-inspired computational paradigms for artificial learning and intelligence are used as the basis for the modelling of the artificial thinking systems. Featuring elements with complex biological behaviours, these paradigms are used to empower autonomous robots with adaptive and reactive cognitive behaviours. In addition, the group has also developed a robot, the iRAT (intelligent Rat Animat Technology), specifically to embody the bio-inspired neural based cognition models.
This integrated approach leads to an increased understanding of the neural, behavioural and information processing bases of complex and intelligent systems. Insight from neurocognitive systems will be used to develop computational models, autonomous robots and intelligent software agents, which in turn will lead to a deeper understanding of the relationship between neurocognitive mechanisms and their behaviour in whole systems.
DVS data sets coming soon.