Areas of expertise
- Computing, Simulation & Modelling
- Defence Info Systems
- Defence Sensors
A graduate from the university of East Anglia. Studied
computer science with a focus placed on AI, Computer vision, Embedded systems
and machine learning. Developed a SLAM robot for mapping during my final year
studies SLAM is a set of algorithms where a robot constructs a map of the local
environment, while using this map to deduce its relative pose and location.
Possesses a strong passion for physics and applied computational science. Both using deductive reasoning, the scientific paradigm and abstraction to develop theoretical concepts.
Richard Tristan has a first class honours BSc in computing science.
Richard Tristan is a currently a research student for Ground-Based SAR Laboratory (GBSAR Lab). Studying a PhD in radar theory and techniques in relation to Remote Intelligence of Building Interiors (RIBI), with an aim to develop possible novel methods and algorithms.
Currently remote sensing work includes:
3D volumetric radar intensity maps.
Continued development of Lab sensing hardware, large scale and small scale.