Filter by faculty:

Found 8 matching student topics

Displaying 1–8 of 8 results

Discrete-event-simulation modelling in Simpy with animation

Discrete-event-simulation (DES) is a dynamic modelling technique commonly applied in areas of mining, manufacturing, services sector, transport, logistics, supply-chains and healthcare, to name a few. It provides a computerised representation of a real or proposed system which can be analysed, tested and optimised through what-if analysis. Simpy is a freely available Python package which is superior to many expensive commercially available DES software packages in terms of its flexibility to model very complex systems, and to integrate seamlessly with a …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences

Virus Search Algorithms

Meta-heuristics are powerful search algorithms for solving intractable optimization problems. There are many population based approaches, like genetic algorithms, evolutionary algorithms, particle swarm, etc. but most of these have a static population size.Viruses arise and attack populations periodically. They typically appear when populations become abundant. Viruses infect population members, and often reduce the number of individuals. Viruses create spaces for more individuals and balance competition.The concept of viruses may be mimicked and could be a useful optimization paradigm.

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

Network Flow Improvement

Network flow is impeded by the arcs present in the network and their associated length/weighting.  Arcs can be added/removed to “debottleneck the network. But which ones? At what cost?

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

Linear programming for network capacity analysis

Road, rail and multi-modal transport networks consist of capital-intensive infrastructure with high operating costs due to ongoing maintenance. Whether it be passengers or freight, the efficiency of these transport networks is crucial for maximising the economic benefits and offsetting the substantial costs.It is therefore important to understand the carrying capacity of a transport network as a whole, rather than taking a local focus on individual segments. These networks can be modelled in a number of ways, but linear programming (LP) …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences

Optimal conservation management in uncertain Antarctic environments

Species and ecosystems in Antarctica are threatened. Optimal biodiversity conservation is an interdisciplinary field combining mathematical modelling and optimisation with ecology and conservation. We can use mathematics to understand the system, model how management actions might impact it, and then optimise which actions should be used. For example, we can explore where protected areas should be placed, how species should be managed, or how tourist impacts should be reduced. However, the complexities of conservation in Antarctica necessitate the application of …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Mathematically optimising value of information for biodiversity management

When planning environmental management, data are only valuable if they lead to improved outcomes. As new monitoring technologies and approaches are developed, it is critical that they are used optimally to focus on the most important information gaps.Monitoring technologies should only be adopted if they can deliver improved management utility, and new data should be rapidly gathered in locations where early information could offer warning signals of future ecosystem change. Mathematical and statistical approaches to assessing the value of new …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

Mathematically optimizing the management of protected areas in the Antarctic ecosystems

Antarctica’s biodiversity is fragile and rapidly changing. Plants and animals as well as human activity are much higher within ice-free areas, which cover little of the continent. For these reasons, protecting of ice-free environments is critical for Antarctic ecosystem survival. Threats to the ecological integrity of Antarctica are increasing through climate change, biological invasion, and increasing human activity. Protected areas help to reduce these threats, and they are a cornerstone of conservation. Consequently, there is the need to create more …

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Where’s the confusion? And can we make sense of it?

Confusion matrices characterise the performance of classification systems on training and test data, but they can be hard to make sense of, especially when there are many possible classes to which an example could be assigned.We have developed confusR a method to visualise confusion matrices and make distinct the contribution of the classifier and the contribution of the prior abundance of different classes. We have also recently developed approaches for visualising uncertainty in confusion matrices and the performance metrics derived …

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

Page 1 of 1