Richard Sabiers

Areas of expertise

• Computing, Simulation & Modelling
• Defence Info Systems
• Defence Sensors

Background

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.

Current activities

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.

Polarization.

Through-wall-imaging.

Continued development of Lab sensing hardware, large scale and small scale.