Skip to content

Student topics

Filter by faculty:

Found 34 matching student topics

Displaying 1–12 of 34 results

Hack-proofing data analytics: A Blockchain-inspired approach to disabling deceptive data analytics practices

“Lies, damned lies, and statistics”. The preceding well-known phrase captures the, possibly unacknowledged, dilemma faced by organisations who are increasingly reliant on the power of data analytics to make important decisions. ‘Big data analytics’ has demonstrated its ability to deliver positive outcomes to organisations, from exposing and (dis-)proving anecdotally-ridden wisdom (or myths) to delivering targeted and effective data-driven improvement recommendations to business operations. However, drawing parallels to the practices of ‘creative accounting’, insights extracted from data analytics can potentially be …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Optimising portfolios of management for the Great Barrier Reef

This project will involve adapting Modern Portfolio Theory to develop optimal management approaches to sustain the Great Barrier Reef. Modern Portfolio Theory is an integer programming approach that allocates resources in risky scenarios where investment options are correlated. It can accommodate significant and unavoidable uncertainties, stochasticity, and correlations between options. A diversified portfolio is less volatile than the sum of its parts, and therefore in order to ensure environmental benefits in the future we should invest in a diversity of …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Responsible Process Analytics: Let’s Blind the Prying Eyes

Process analytics is a form of data analytics with a focus on extracting data-driven insights from sequences of time-ordered events. Traditionally, process analytics have primarily been used to analyse business processes (e.g., insurance claims handling process, purchase requisition process, and student enrolment process). Nevertheless, the prevalence of timestamped data produced by today’s IT systems has seen a wider application of process analytics to other domains, including industrial control systems (e.g., power plant) and computer network systems, with a goal of …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Visualising Stochastic Business Process Models

Process mining aims to derive information from historical behaviour of processes in organisations which has been recorded in event logs. Business analysts use process mining software to visualise logs and derive information and insights for managers. Ultimately, this information is used to improve processes to, for instance, optimise costs, time and/or the environment. Process mining is an exciting field with lots of opportunity for research and with many commercial solutions being offered. Business process models describe what can happen in …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Process data analytics: quality-informed and responsible process mining

Modern organisations consider data to be the lifeblood of their organisations. Technological advances in the fields of Business Intelligence (BI) and Data Science empower organisations to become ‘data-driven’ by applying new techniques to analyse and visualise large amounts of data. The potential benefits include a better understanding of business performance and more-informed decision making for business growth.A key road block to this vision is the lack of transparency surrounding the quality of data. Significant data quality issues persist and hinder …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Discovering organisational knowledge from process event logs

Process mining enables data-driven process analysis using the massive amount of event log data captured by information systems in today's organisations. Various techniques have been developed to help extract insights about the actual business processes with the ultimate goal to improve process performance as well as the organisations' business performance.As an important sub-field of process mining, organisational mining focuses on discovering organisational knowledge, including e.g. organisational structures and human resources relevant to the performance of a business process, from event …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Business process automation in the cloud

The ubiquity of cloud computing is shifting the deployment of Business Process Management Systems (BPMS) from traditional on-premise models to the Software-as-a-Service (SaaS) paradigm, thus aiming to deliver Business Process Automation as a Service (BPAaaS) to organisations in the cloud. However, traditional BPMS are designed to serve a single organisation on premise but not for multiple organisations in a cloud environment. To support provision of BPAaaS, it is necessary to establish the design of a new paradigm to address the …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Process model repair

Process model repair refers to the following problem: Given an event log of a process-aware information system that does not fit to a process model, automatically transform the model such that the event log fits the transformed model better than it fits the original model.Thus, process model repair allows keeping models of process-aware information systems in sync with observed process instances by suggesting mechanisms for reflecting traces encountered in event logs in executions of the corresponding models. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Process querying

Process querying studies automated techniques for managing large collections of models of process-aware information systems based on process instances that these models describe. A user interacts with a collection of process models via process querying intents. A process querying intent is a formally specified request to manage a collection of process models for a particular purpose. Process querying research initiative spans a wide range of topics from theoretical studies of algorithms and the limits of computability of process querying techniques …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Intelligent and automated exception handling strategies for robotic process automation

Robotic Process Automation (RPA) is a relatively new technology that uses small computer programs called bots to mimic the manual path taken by a human through a range of computer applications when performing certain tasks in a business process.The sequence of tasks that is being mimicked by bots, referred to as a 'bot-flow', typically comprises various computer-human interactions (such as mouse clicks and keyboard strokes) that need to be executed in a particular order to accomplish the tasks. Before a …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Clinical implementation of 3D printed therapies

The future of healthcare involves the application of 3D and computational technologies throughout the entire patient journey. One early and important application of these technologies involves 3D printing transparent rigid face masks for children and adults with severe facial burns. These masks, called TFO's, provide constant pressure for up to two years to the burn injury. This reduces both scarring and the need for reconstructive surgery.Current fabrication of these highly personalised masks is traumatic, inaccurate and labour intensive; requiring physical …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Chemistry, Physics and Mechanical Engineering

Process automation in the cloud

Process automation refers to digital technology-enabled automation of complex business processes in modern organisations. Business Process Management Systems (BPMS) are dedicated to providing support to process automation. Thus they play a key role in today's enterprise digital transformation and a myriad of BPMS exists.Cloud computing, as a major computing paradigm emerging over the last decade, has evolved into one of the most widely used computing resource platforms. It is shifting the deployment of BPMS from traditional on-premise models to the …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Page 1 of 3