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Associate Professor Jason Ford

Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems

Personal

Name
Associate Professor Jason Ford
Position(s)
Associate 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)
Social Media
Twitter
Qualifications

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

Professional memberships
and associations

Keywords

Signal processing, Control, Aerospace

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

Biography

Jason is an Associate Professor in Electrical Engineering at Queensland University of Technology (QUT). He graduated from the Australian National University with the B.Sc. and B.E. degrees from the Australian National University in 1995, and graduated with a PhD degree from the Australian National University in 1998. In 1998 Jason joined 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 University of New South Wales at the Australian Defence Force Academy.  In 2005 Jason joined Queensland University of Technology as a research fellow, before appointment as Lecturer in Electrical Engineering at the Queensland University of Technology in 2007 (promoted to Senior Lecturer in 2010 and Associate Professor in 2016). Jason’s main research interests are in the areas of signal processing and control, and his current focus is on robust and non-fragile signal processing and control for autonomous systems. Recent research highlights include:

  • Development of automation systems for infrastructure inspection aircraft within the ROAMES asset management system. ROAMES aircraft are currently operational and inspecting infrastructure on three continents, and ROAMES has created value benefits estimated to exceed $221M (out to 2024).
  • Several world firsts in vision based sense and avoid technology for unmanned aerial systems. A recent summary can be found in feature article in IEEE Aerospace and Electronic System Magazine.

Career History

  • 2016 – present: Associate Professor in Electrical Engineering, Queensland University of Technology
  • 2010 – 2016: Senior Lecturer in Electrical Engineering, Queensland University of Technology
  • 2007 – 2010: Lecturer in Electrical Engineering, Queensland University of Technology
  • 2005 – 2007: Research Fellow, Queensland University of Technology
  • 2004: Research Fellow, University of New South Wales, Canberra
  • 2000-2004: Senior Research Scientist, Defence Science Technology Organization
  • 1998-2000: Research Scientist, Defence Science Technology Organization
  • 1996: Research Engineer, Cooperative Research Centre for Robust and Adaptive Systems
  • 1995-1998: PhD full-time postgraduate, Australian National University

PublicationsPlease see Jason’s Google Scholar page for a list of publications and their citations

Patents

This information has been contributed by Associate Professor Jason Ford.

Teaching

Teaching Areas: Electrical engineering.

This information has been contributed by Associate 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