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Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

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)

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)