Sort by
Refine Your Search
-
Program
-
Employer
-
Field
-
in artificial intelligence (AI) is transforming various scientific and engineering disciplines by providing unprecedented capabilities in data analysis, pattern recognition, and decision-making. In
-
formulated and executed in the School of Civil and Mechanical Engineering. Curtin University has the academic expertise to execute the computational modelling using computational fluid dynamics and advanced
-
engineering strategies to modify the electrodes for stable and efficient ammonia electrosynthesis, and to address the underlying structure-property relationships. Objectives The primary objective
-
(PM10, PM2.5, PM1), it is crucial to understand their sources and distribution patterns to develop effective control measures. The project will leverage advanced sensor technology and computational
-
, nanoparticles-modified perovskite oxides which can tackle all the above challenges. By rational materials engineering, this project aims to realise both thermochemical energy storage and greenhouse gas upgrading
-
of heart disease diagnosis and classification. This project offers an excellent opportunity to explore the intersection of technology and healthcare. The supervisors have strong track records and
-
effective digital platform for analyzing, visualising and interpreting the condition of civil engineering structures. The digital twin models are created to represent the state and behaviour of structures in
-
player in the global hydrogen market, producing green hydrogen through the all-perovskite inorganic AEMWE technology can position Australia as a supplier of clean energy solutions, opening up new export
-
ceramic fuel cells (PCFCs) have emerged as a forefront electricity generation technology to efficiently convert chemical energy into electricity with zero carbon emissions. In contrast to proton exchange
-
of long Bridge Structures. The technology developed in Laser-based non-contact generation-reception of ultrasound coupled with the novel imaging and Machine-learning based corrosion detection will adapt