Dr Andrew Lammas

Born and raised in Adelaide.

From an early age had a passion to understand machines by pulling them apart. Eventually I learned to put them back together.

After graduating in 2004 and achieving a PhD in 2012, the previous 12 years have been spent working on industry affiliated projects as a post-doctoral research associate. These projects have been varied but are summarised below.

In December 2023 I started my current position of Lecturer of Electrical and Electronic Engineering, where I continue my research finding novel applications for algorithms that I have expertise in as show below

Previous research project ahve been many and varied but can be summarised into the following research fields.

• State Estimation
• Localisation
• Online and offline model estimation
• Machine learning
• Neural networks
• Control
• Actuator control
• Model based - platform control (particularly model based trajectory algorithms)
• Trajectory Planning
• Obstacle avoidance
• Underwater vehicle docking
• Time/energy efficient planning
• Path Planning
• Obstacle avoidance
• Path cost minimisation

Additionally I have worked in the area of

• PV Solar Power generation estimation and prediction
• Lifecycle modelling of large scale battery storage systems

In parallel to the afore mention research I had been responsible for the development of many topics and delivery of many more on top, these includes topics such as;

• Estimation & Machine Learning
• Bayesian Filtering
• Kalman Filtering
• Particle Filtering
• Bayesian Mapping
• Hydrostatics
• Ship buoyancy
• Ship stability
• Ship safety
• Electromagnetics
• Electrical fields
• Magnetic fields
• Electromagnetic propagation
• Electronic Circuits
• Diodes
• Transistors
• Operational Amplifiers