Scott, William R. Dr

Research Fellow

  • Primary Group - SMART Infrastructure Facility
  • Faculty of Engineering and Information Sciences

Overview


Dr William Scott holds a PhD in Systems Engineering as well as being internationally certified both as a Certified Systems Engineering Professional (CSEP) through INCOSE and as an Advanced Systems Modeller (OCSMP- Advanced) through the Object Management Group (OMG).  He has been engaged in Systems Engineering (SE) since the 1990s, when he undertook research at the University of South Australia into enhancing SE tool capabilities using artificial intelligence techniques. Since then he has been engaged in modelling and simulation activities that aim to enhance SE activities largely in Australian defence, as well as other areas such as hospital operations.

Since commencing with the University of Wollongong, William has been engaged in examining the application of model-based systems engineering to assist the acquisition and modelling of a public transport system for Asset Standards Authority (ASA) within Transport for NSW and Australian heavy rail. These activities have involved a combination of development of modelling practice based on world best practice, examination of application to increase usability and utility of AF tools, and to develop enhanced, customised functionality to automate common activities, increase usability, and reduce effort.

Research Overview


  • William is undertaking research into the application of Model-based System’s Engineering techniques to improve the management of heavy rail through knowledge management and dissemination.

    He is currently part of a team undertaking research for the Australian Council for Rail Innovation (ACRI) that aims to understand the impact of new technology upon trackworker safety and upon the wider organisation. This research is tackling the challenges associated with the concurrent introduction of different technologies into the existing rail network and ensuring a consistent understanding of the system structure and associated processes to support more informed decisions and analyses.

Selected Publications


Keywords


  • Model-based systems engineering, Agent based modelling, Artificial Intelligence, machine-based reading, and natural language processing, Knowledge management

Research Overview


  • William is undertaking research into the application of Model-based System’s Engineering techniques to improve the management of heavy rail through knowledge management and dissemination.

    He is currently part of a team undertaking research for the Australian Council for Rail Innovation (ACRI) that aims to understand the impact of new technology upon trackworker safety and upon the wider organisation. This research is tackling the challenges associated with the concurrent introduction of different technologies into the existing rail network and ensuring a consistent understanding of the system structure and associated processes to support more informed decisions and analyses.

Selected Publications


Keywords


  • Model-based systems engineering, Agent based modelling, Artificial Intelligence, machine-based reading, and natural language processing, Knowledge management

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