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Found 216 matching student topics

Displaying 121–132 of 216 results

Digital Leadership Competencies for AI Adoption

Identify the specific competencies and skills that leaders need to effectively lead AI adoption initiatives in organisations. Research can focus on areas such as data literacy, AI literacy, critical thinking, decision-making, and the ability to manage and interpret AI-driven insights. Develop frameworks for assessing and developing these competencies in leaders.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)

Centre for Behavioural Economics, Society and Technology

Citizen-developers: challenges and opportunities for low-code/no-code automation

Robotic Process Automation (RPA) is becoming a popular choice for organisations to support their digital transformation and to maintain operational resilience. Many organisations are keen to adopt Robotic Process Automation (RPA) to dramatically improve operational efficiency. Many organisations train and assign their staff as “citizen-developer” to design, test, and maintain the bots using Low-Code/No-Code platforms. However, there are number of issues surfaced when using organisational employees as citizen developer ranging from technical & process capabilities to scalability of RPA.

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

The dark side of robotic process automation

Pandemics such as COVID 19 have forced organisations to pursue hyper-automation to maintain operational sustainability. Many organisations are keen to adopt Robotic Process Automation (RPA) to dramatically improve operational efficiency. However, evidence to date highlighted various associated challenges associated with adoption of RPA in organisations.Furthermore, recent surveys by consultant organisations found a high RPA project fail rate and their inability to meet the expected return on investment.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Future Enterprise

Alleviating corruption: a data driven perspective

Corruption is cited as among the greatest challenges faced by government and citizenry the world over and threatens to undermine the very trust that is essential for a functioning democratic society. In order to earn and maintain public trust, governments at all levels must continuously strive to reduce corruption and uphold the highest levels of integrity.Amidst the countless human interactions and electronic transactions that occur within the public service on a daily basis are a complex and ever-changing variety of …

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

Leadership and digital transformation

Digital transformation and digitalisation are on top of the CIOs' agenda. However, organisations embarking into these initiatives struggle to understand the nature of leadership capabilities required for effective DT. Furthermore, the complexities associated with pandemics such as Covid19 has forced organisations to change the traditional view of leadership. The uncertainties require well-rounded leaders who can create vision and execute tactically to influence change, develop digital capabilities and foster enterprise agility.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Regenerating bone following osteosarcoma tumour resection in a post-chemotherapy treated bone defect

Osteosarcoma (OS) is the most common primary bone cancer in children and adolescents. Standard treatment involves surgical resection of the tumour combined with systemic chemotherapy. While most patients undergo limb-sparing surgery to avoid amputation, this often results in significant morbidity and lifelong complications. These complications stem from the creation of large bone defects, poor healing outcomes, the need for revision surgeries, and long-term prosthetic failureThere is a critical clinical need for regenerative strategies that restore bone integrity and function following …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Biomedical Technologies

Local drug delivery to prevent osteosarcoma recurrence and metastasis

Osteosarcoma (OS) is the most common primary bone cancer in children and adolescents. Despite aggressive treatment involving multi-agent chemotherapy and wide surgical resection, survival outcomes remain poor, with five year survival as low as 13% for patients with metastatic or recurrent disease. Current treatment relies heavily on systemic chemotherapy, which is associated with significant toxicity and long-term side effects, including cardiotoxicity, nephrotoxicity, and impaired growth and fertility. Local recurrence occurs in up to 30% of patients after surgical resection, often …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Biomedical Technologies

Exploring the accessibility needs of visually impaired peer workers in digital employment support platforms

This project will explore how blind and visually impaired (VI) peer workers use digital platforms in their day to day practice, with the aim of identifying or co-designing a platform that is accessible, JAWS compatible and aligned with the requirements of industry partner Chapter1’s peer-led employment services.

Study level
Master of Philosophy
Faculty
Faculty of Science
School
School of Computer Science

Fine-grained software vulnerability detection using deep learning techniques

Software vulnerability is a major threat to the security of software systems. Thus, the successful prediction of security vulnerability is one of the most effective attack mitigation solutions. Existing approaches for software vulnerability detection (SVD) can be classified into static and dynamic methods. Powered by AI capabilities, especially with the advancement of machine learning techniques, current software has been produced with more sophisticated methodologies and components. This has made the automatic vulnerability proneness prediction even more challenging. Recent research efforts …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Computer Science

Engineering 3D osteocyte–tumour microenvironments to study bone metastasis and therapeutic response

Project Reference: #2MPQC-HuECM1Preferred Project Start: Late 2026/Early 2027How do cancer cells communicate with bone cells, and can we recreate these interactions in the laboratory to improve therapy testing?When cancer spreads to bone, tumour cells enter a highly specialised microenvironment containing multiple cell types and a complex extracellular matrix. Osteocytes are embedded throughout this matrix and form an interconnected cellular network that senses and regulates changes within bone. However, their contribution to cancer progression and treatment response remains poorly understood.Conventional two-dimensional …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Biomedical Technologies

Facilitating gaining trust in IOT systems

Many organisations have shown an increasing interest in deploying IOT systems. However, most of them and their stakeholders are new to these systems, and it is difficult for them to trust the technology. What are the technological, managerial and societal aspects that contribute to trust in IOT systems? What can we do to improve the level of trust and increase adoption of the technology?

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Dissecting the molecular and cellular basis of melanoma susceptibility

Several factors strongly influence an individual’s chance of developing melanoma. Paramount amongst these are the number of moles (nevi) present on the skin, cumulative levels of UV exposure and skin pigmentation phenotype. Numerous Genome Wide Association Studies (GWAS) we have identified gene variants at a number of loci that are strongly associated with cutaneous nevi (mole) counts, UV damage response and accordingly susceptibility of individuals to develop melanoma. Currently the functional impact of genetic variants in the genes IRF4, PLA2G6 …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

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