Personal details

Name
Professor Jason Ford
Position(s)
Professor in Electrical Engineering
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems
Discipline *
Electrical and Electronic Engineering, Aerospace Engineering
Phone
+61 7 3138 2207
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD Twitter LinkedIn
Qualifications

Doctor of Philosophy (Australian National University), Bachelor of Engineering (Australian National University), Bachelor of Science (Australian National University)

Professional memberships
and associations

Keywords

Infrastructure Inspection, Quickest change detection, Inverse optimal control, Estimation theory, Platform control

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

About Jason:

Jason creates decision systems for dynamic systems, including robotic and autonomous systems, that can reliably operate in the presence of uncertainty and error. Jason has over 20 years of experience developing solutions for energy, aerospace and defence industries. He has led the development of several aerial autonomous system technologies including general aviation aircraft flight control systems which are operating in Australian, European and US airspaces.

Jason’s technical expertise is in the area of information-theoretic and optimisation approaches to model-based filtering, estimation, detection, decision and planning for dynamic systems and their related inverse problems. He uses this expertise to create reliable autonomy solutions in aerospace, robotics and power systems. His current research interests include aerial platform autonomy for infrastructure inspection and low signal-to-noise ratio anomalous signal detection with application in aerospace and other domains.

Current Research Projects:

Jason is currently looking for PhD students in these two areas:

Academic and Professional Experience:

Dr Jason J. Ford is a Professor at the Queensland University of Technology (QUT). He graduated from the Australian National University (ANU) with the B.Sc. and B.E. degrees in 1995, and a PhD degree in 1998. In 1998 Jason joined the Australian Defence Science and Technology Organisation (now called DSTG) as a Research Scientist (promoted to Senior Research Scientist in 2000). In 2004 Jason was appointed a Research Fellow at the University of New South Wales at the Australian Defence Force Academy.  In 2005 Jason joined the QUT as a Research Fellow, before appointment as Lecturer in Electrical Engineering in 2007 (promoted to Senior Lecturer in 2010, to Associate Professor in 2016 and to full Professor in 2019).

Research and Industry Impact Highlights:

  • Development and commercialisation of aircraft automation systems for infrastructure inspection within the ROAMES asset management system. Savings to the state of Queensland (alone) are estimated to exceed $40M/year, but ROAMES also operates in the US and UK. The impact of this rare example of an Australian developed aircraft flight technology has been acknowledged via:
    • the Australian Research Council’s 2018 Engagement and Impact exercise assessed the aircraft flight technology as having high impact (their highest rating).
    • the ROAMES system winning a UK Network Game changer Award, a US International Edison Award, a Queensland Spatial Excellence Awards, JM (Mac) Seriser Award.
  • More than a decade of sustained research activity on the extremely challenging problem of replicating the human pilot vision system to create a vision based sense and avoid technology for autonomous aerial systems. The impact of this technology has been acknowledged via collaboration project awards:
    • a Queensland iAward,
    • a B-HERT award, and
    • an Engineering Australia Excellence Award (Queensland Division).

Career Summary:

  • Co-authored more than 100 peer reviewed research publications: Google Scholar, QUT E-prints, ORCID, and/or Publons.
  • Patented flight plan and flight control technology: Method and apparatus for developing a flight path. Inventors: Troy Bruggemann and Jason Ford, Patent details can be found via the following patent numbers – Australia: 2014360672, United States: 9983584, Canada: CA2969552, Europe: EP3077881.
  • Attracted over $10 million dollars in competitive research funds within Australia since 2009.
  • A named Associate Investigator in the ARC Centre of Excellence in Robotic Vision.
  • 6 PhD completions as principal supervisor since 2009.
  • Taught Control System Engineering and Autonomous Systems to more than 1000 undergraduate electrical, aerospace and mechatronic engineers.
This information has been contributed by Professor Jason Ford.

Teaching

Teaching Areas: Electrical engineering.

This information has been contributed by Professor Jason Ford.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

Title
Automated vision-based aircraft collision warning technologies
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP100100302
Start year
2010
Keywords
Collision Warning; Aerial robotics; National Airspace

Supervision

Current supervisions

Completed supervisions (Doctorate)

Completed supervisions (Masters by Research)