The aim of the Master of Philosophy (MPhil) program is to provide research training in a manner that fosters the development of independent research skills in candidates. On completion of the period of research, the student should possess the ability to formulate a significant problem, mastery of appropriate conceptual and methodological frameworks, and the capacity for articulate and critical analysis. The MPhil thesis provides evidence of significant research as the culmination of 1.5-2 years full-time equivalent study and research training. Our Research Groups Biomedical Engineering Our research covers the fields of magnetic resonance engineering, biomedical instrumentation, image analysis and bio signal analysis, with a focus on developing new tools to improve data acquisition, image reconstruction, and image analysis from medical images. Power and Energy Systems Our research activities are centered on renewable generation integration, condition assessment of critical power infrastructure and power electronics control and applications. This includes power system stability, state estimation for distribution networks, power quality, control and operation of power systems and transformer condition monitoring with a specific focus on the needs of the Australian electricity supply industry. Photonics and Microwave Engineering The Photonics & Microwave Engineering research group's activities revolve around technologies and techniques for sensing, imaging, and communicating using electromagnetic waves. Data Science The Data Science group encompasses a variety of research strengths including: Data and knowledge engineering, security and surveillance, complex and intelligent systems, and eScience / eResearch services. Cyber Physical Systems Our research is comprised of three main areas: Robotics, Software Defined Networking, Internet of Things (IoT). Robotics deals with physical objects controlled in the cyber world. Software Defined Networking is a programming mechanism for connecting physical and cyber devices together, and Internet of Things concerns the connection to the internet of devices that would normally be standalone. Co-Innovation Co-Innovation is an inter-disciplinary research group crossing conventional boundaries comprising social robotics, interaction design, software engineering and human-computer interaction. Our research activities focus on creating new technologies that empower people and their communities through health, education, music and language.