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Displaying 121–132 of 699 results

Simulation of bacterial cell motion using CFD and DPM methods

Studying bacterial motion under flow conditions demands greater amount of resources. Computer simulations can reduce the need for expensive experimental investigations by predicting bacterial motion under specific flow conditions.Computer Fluid Dynamics (CFD) is used to analyse fluid flow using computer simulations, and Discrete Phase Method (DPM) is used to analyse flow of particles in a fluid. Combining these two methods, bacterial motion under fluid flow has been simulated.However, these simulation models have limitations such as absence of bacterial interactions, or …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Explainable AI-enabled predictive analytics

Modern predictive analytics underpinned by AI-enabled learning (such as machine learning, deep learning) techniques has become a key enabler to the automation of data-driven decision making. In the context of process monitoring and forecast, predictive analytics has been applied to making predictions about the future state of a running process instance - for example, which task will be carried out next, when and who will perform the task, when will an ongoing process instance complete, what will be the outcome …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Data Science

Representation learning for anti-microbial resistance

This project is about using neural network models help us understand Anti-Microbial Resistance (AMR), a phenomenon in which bacteria adapt to reduce the effectiveness of antibiotics, usually through a process known as Lateral or Horizontal Gene Transfer - where genes are included in the organism from other sources.Our focus will be on learning compact vector representations of biological sequences known to be associated with AMR genes. By encoding DNA sequences in this way we can more rapidly identify AMR genes …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science
Research centre(s)
Centre for Data Science

Scalable software solutions for improving the CRISPR gene editing system

The CRISPR-Cas9 technology allows the modification of virtually any gene in any organism of interest. It has generated a lot of interest, both in the research community and the general population.One of the crucial components of CRISPR experiments is the design of the 'guide RNAs' that will control where modifications occur. We have developed a software pipeline, named Crackling, to identify safe and effective guide RNAs across entire genomes.We are seeking to expand and improve various aspects of our current …

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science
Research centre(s)
Centre for Data Science

Developing alternative crystallisation methods for zeolites

Zeolite solid acid catalysts have found widespread use in industrial chemical processes. Traditionally, these materials are synthesised hydrothermally under highly alkaline conditions. This generates a concentrated alkaline waste stream which needs further treatment or additional processing steps to improve overall process efficiency.Recent development towards improved synthesis strategies for zeolites have been reported, such as solvent-free and template-free methods. This project will investigate some of these alternative strategies for the synthesis of targeted zeolites with applications in water treatment and catalytic …

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Chemometric methods for distinguishing faujasite (FAU) zeolites

Faujasite zeolites (framework type FAU) are essential materials that are used as solid acid catalysts within the modern world. Their traditional applications include fluid catalytic cracking (FCC) petroleum products, gas adsorption and purification, but are excellent solid acid catalysts for use in green chemical processes. Faujasite is synthesised by combining silicate and aluminate solutions under hydrothermal conditions, where the direct synthesis product can have molecular ratios of Si to Al from 1 to 3.The ratio of Si to Al has …

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Analysing modelled and observed wave data associated with the passage of tropical cyclones on the GBR

Increasing concern exists on the effects of global warming and how it is increasing the frequency and severity of disturbance events on the Great Barrier Reef (GBR). For example, the intensity and frequency of tropical cyclones is likely to increase and this will also reduce the time available for coral reefs to recover.The main impact of tropical cyclones is through extreme waves, which vary in extension depending on the characteristics of the cyclone. Nowadays, ocean waves data is generated through …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Earth and Atmospheric Sciences

Digital twin creation for human robot collaboration research

Collaborative robots and extended reality (XR) technologies are becoming more prevalent in our industries and daily interactions. Advancements in augmented reality and virtual reality provide better options for immersive human-robot interaction experiences.This project will explore the use of digital twin environment to display and allow interaction in real-time with a robot and objects. A digital twin is a digital counterpart of a real physical environment or object.AimsThe aims of our project is to create a digital twin that simulates a …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Simulation of turbulent fluid flow through a microfluidic device using CFD

Microfluidic devices (MFD) are extensively used in microbial studies. Bacterial cell attachment onto surfaces under flow conditions in laminar regime has been previously studied using a custom designed MFD.As an extension of this study, microbial attachment under turbulent flow is to be studied in a future project. The suitability of current MFD for microbial studies under turbulent flow must be evaluated to adopt / redesign the MFD.A computational fluid dynamics (CFD) analysis is proposed to examine the fluid flow inside …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Advanced nanomaterials for energy storage and green catalysis

The development of energy conversion and storage devices has been increasingly explored with the primary purpose to address the current energy and environment crisis. One of promising solutions is largely associated with the progress on advanced nanomaterials. These nanomaterials have been verified to exhibit attractive physical and chemical properties and are expected for developing cutting-edge energy conversion and storage devices for supporting a sustainable future. Therefore, the proposed research topics on advanced nanomaterials offers unprecedented opportunities for sustainable energy applications.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Understanding how omnichannel business models are changing management accounting

The adoption of the omnichannel business model has been sped up by the pandemic because of the need to connect with customers. This raises the question of how management accounting can support firms with an omnichannel strategy to optimise their profitability?The main problem is that management accounting systems in many firms continue to be product-centric focused, and companies do not know who their profitable and unprofitable customers are. This leaves the potential for margin leakage.This project will focus on reviewing …

Study level
Vacation research experience scheme
Faculty
Faculty of Business and Law
School
School of Accountancy

Responsible urban innovation with local government artificial intelligence

Artificial intelligence (AI) is not only becoming an integral part of urban services, but also impacting and shaping the future of cities and societies. However, the current AI practice has shown that urban innovation without responsibility generates more problems than it solves. Especially, the absence of a deep understanding of the costs, benefits, risks, and impacts of deploying government AI systems creates negative externalities and serious concerns in the society.AimsThe project aims to:generate a consolidated understanding of the most appropriate …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

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