Associate Professor Jason Ford

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

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 the 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 research expertise is the areas of non linear filtering, estimation, system identification, detection and control for robotic and dynamic systems. Current research interests include platform autonomy for infrastructure inspection and low signal-to-noise ratio anomalous signal detection with application in aerospace and other domains.

Research impact highlights include:

Publications

Patents

Projects

Additional information

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
  • Quickly Detecting Aircraft in Image Sequences
    PhD, Principal Supervisor
    Other supervisors: Dr Timothy Molloy, Professor Tristan Perez
  • Nonlinear Disturbance Observers with Applications to Adaptive Wave Filtering, Detection and Ship Ride Control
    PhD, Associate Supervisor
    Other supervisors: Professor Tristan Perez
  • Identification of Non-linear Dynamical Systems with Application to Agricultural Machinery
    PhD, Associate Supervisor
    Other supervisors: Professor Tristan Perez
  • Bayesian risk analysis of autonomous intelligent agents an networks
    PhD, Associate Supervisor
    Other supervisors: Professor Tristan Perez