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Discontinuous Discrete Methods for Solving the Multi-phase Hydro-mechanical Behaviour of Partially-saturated Soils

The goal of the project is to develop robust finite-element type solvers of the equations describing the multi-phase hydro-mechanical behaviour of partially saturated soils, hence a more...

Supervisor(s): El-Zein, Abbas (Professor)

Inverse Methods for Characterising Hydraulic Properties of Soils Under Unsaturated Conditions

New indirect methods for estimating material properties of partially saturated soils are developed based on infiltration tests and inversion of multi-phase hydro-mechanical equation more...

Supervisor(s): El-Zein, Abbas (Professor)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Tree root anchoring: a biomimetic approach to foundation design

The project aims at finding new foundation designs inspired by tree roots. more...

Supervisor(s): Rognon, Pierre (Dr)

Low-latency robotic imaging for fast driving, flight and manipulation

This work will develop new low-latency visual perception systems, enabling unprecedented levels of robotic autonomy where response time is critical. more...

Supervisor(s): Dansereau, Donald (Dr)

Developing new imaging devices to help robots see and do

This work will develop specialised imaging devices to improve robotic perception in challenging conditions. more...

Supervisor(s): Dansereau, Donald (Dr)

5D light field video processing for robust robotic vision

This work will develop algorithms that enable robots to benefit from the rich information captured by emerging light field video cameras. more...

Supervisor(s): Dansereau, Donald (Dr)

Long-range robotic imaging in participating media

This project will push the limits of long-range vision in participating media including fog and water, expanding the range of conditions under which robots can be safely deployed. A more...

Supervisor(s): Dansereau, Donald (Dr)

Using machine learning to give robots new kinds of visual sensing

This work will develop the machine learning techniques and principles needed for robots to automatically interpret and benefit from a broad range of emerging imaging technologies. more...

Supervisor(s): Dansereau, Donald (Dr)

Whole-system robotic perception: From photons to actions

This work will build two-way information flows between the imaging, mapping, and control systems of a robot, allowing operation in previously inaccessible dynamic and interactive sp more...

Supervisor(s): Dansereau, Donald (Dr)