Personal
- Name
- Dr Jason Ford
- Position(s)
- Lecturer in Electrical Engineering
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Aerospace Systems - Discipline *
- Electrical and Electronic Engineering, Aerospace Engineering
- Phone
- +61 7 3138 2207
- Fax
- +61 7 3138 1516
- j2.ford@qut.edu.au
- Location
- View location details (QUT staff and student access only)
- Qualifications
-
Doctor of Philosophy (Australian National University), Bacholar of Engineering (Australian National University), Bacholar of Science (Australian National University)
- Professional memberships
and associations
Biography
Background
Jason J. Ford was born in Canberra, Australia in 1971. He received the B.Sc. and B.E. degrees from the Australian National University, Canberra, in 1995. He also received a PhD from the Australian National University in 1998.
Jason’s first research position was as a research engineer for Cooperative Research Centre for Robust and Adaptive System, Canberra, during 1996. He was appointed a research scientist, at the Australian Defence Science and Technology Organisation in 1998, and then promoted to senior research scientist in 2000. In 2004, he was appointed a research fellow at University of New South Wales at the Australian Defence Force Academy. In 2005, he was appointed a research fellow at the Queensland University of Technology, Brisbane. He was appointed to his current academic position at the Queensland University of Technology in 2007.
His current research interests include advanced signal processing and control algorithms for aerospace applications. He has had academic visits to the Information Engineering Department at the Chinese University of Hong Kong in 2000, and to the University of New South Wales at the Australian Defence Force Academy from 2002 to 2004.
Teaching
Teaching Areas
- avionics (inertial devices)
- control
- space technology
Publications
- Bruggemann TS, Ford JJ, Walker RA, (2011) Control of aircraft for inspection of linear infrastructure, IEEE Transactions on Control Systems Technology p1397-1409
- Lai J, Mejias Alvarez LO, Ford JJ, (2011) Airborne vision-based collision-detection system, Journal of Field Robotics p137-157
- Mills S, Ford JJ, Mejias Alvarez LO, (2011) Vision based control for fixed wing UAVs inspecting locally linear infrastructure using skid-to-turn maneuvers, Journal of Intelligent and Robotic Systems: theory and applications p29-42
- Lai J, Ford JJ, (2010) Relative entropy rate based on multiple hidden Markov model approximation, IEEE Transactions on Signal Processing p165-174
- Bevrani H, Ledwich GF, Ford JJ, Dong ZY, (2009) On feasibility of regional frequency-based emergency control plans, Energy Conservation and Management p1656-1663
- Bevrani H, Ledwich GF, Dong ZY, Ford JJ, (2009) Regional frequency response analysis under normal and emergency conditions, Electric Power Systems Research p837-845
- Ford JJ, Ugrinovskii VA, (2008) Robust Control of Nonlinear Jump Parameter Systems Governed by Uncertain Chains, IEEE Transactions on Automatic Control p1520-1526
- Ford JJ, Ledwich GF, Dong ZY, (2008) Efficient and robust model predictive control for first swing transient stability of power systems using flexible AC transmission systems devices, IET Generation, Transmission and Distribution p731-742
- Ford JJ, (2006) Partially Observed Non-linear Risk-sensitive Optimal Stopping Control for Non-linear Discrete-time Systems, Systems and Control Letters p770-776
- Elliott RJ, Ford J, Moore JB, (2002) On-line almost-sure parameter estimation for partially observed discrete-time linear systems with known noise characteristics, International Journal of Adaptive Control and Signal Processing p435-453
For more publications by this staff member, visit QUT ePrints, the University's research repository.
Awards
Awards and recognition
- Type
- Funding Award
- Reference year
- 2010
- Details
- 2011 Spitfire Memorial Defence Fellowship
Research projects
Grants and projects (Category 1: Australian Competitive Grants only)
- Title
- Automated vision-based aircraft collision warning technologies
- Primary fund type
- Australian Competitive Grants
- Project ID
- LP100100302
- Start year
- 2010
- Keywords
- Collision Warning, Aerial robotics, National Airspace
Supervision
Completed supervisions (Doctorate)
- A Hidden Markov Model and Relative Entropy Rate approach to Vision-based Dim Target Detection for UAV Sense-and-Avoid | (2010)
- Robust Adaptive Control of Rigid Spacecraft Attitude Maneuvers (2008)