The Vacation Research Experience Scheme (VRES) provides eligible students with the opportunity to participate in a research project. If you're interested in research and thinking of pursuing a research degree the scheme is an opportunity to see if research is right for you. Further information about the scheme is available on HiQ.
QUT offers a diverse range of student topics for VRES. Search to find a topic that interests you.
Found 192 matching student topics
Displaying 73–84 of 192 results
Development of a machine learning algorithm for high throughput cell response data in drug therapy
High-throughput screening assays are essential for accelerating drug discovery, but current assays often rely on endpoint measurements that do not capture the dynamic response of cells to drug treatment. Machine learning algorithms (MLAs) have the potential to enable real-time, high-throughput monitoring of cell response to drug treatment by analyzing complex datasets generated by multiplexed live-cell assays. This research project aims to develop an MLA for enabling high throughput cell response data in drug treatment. The project will involve three main …
- Faculty
- Faculty of Engineering
- School
- School of Computer Science
- Research centre(s)
- Centre for Biomedical Technologies
Developing Smart Device to Improve CPR Outcomes
There are around 20,000 cardiac arrests in Australia each year. The chance of survival with cardiac arrest is currently very low, and is dependent on the quality of cardiopulmonary resuscitation (CPR) received during cardiac arrest. Near-infrared spectroscopy (NIRS) sensors can non-invasively measure blood-oxygen in the brain and would be ideal for measuring the quality of CPR of a person in cardiac arrest. This project is supported by internal funding.
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
Monte-Carlo Simulation of Ionising Radiation for Medical Applications
Ionising radiation can be used for both the diagnosis and treatment of cancer through the use of medical imaging and radiotherapy. A crucial part of the optimal use of these techniques is a detailed understanding of the transport of the radiation at multiple scales e.g. dose to tissues, organs, and ultimately the cellular level. The project will make use of established monte-carlo simulation codes to model the production and detection of ionising radiation as well as interactions and dose to tissues.
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Biomedical Technologies
Understanding user behaviour in virtual power plant (VPP) communities
Virtual power plants (VPP) provide a viable solution to integrate intermittent renewable energy sources into the grid, where a transition from centralized to decentralized energy distribution can provide economic and ecological benefits and facilitate citizen empowerment and a sense of community. However, consumers are reluctant to adopt distributed energy systems such as rooftop solar panels and household and community battery storage, which provide electricity generation and storage technologies that are located close to the point of use, as opposed to …
- Faculty
- Faculty of Science
- School
- School of Information Systems
Comparative Assessment of Lepidopteran insect Pests
Project background/overviewIn our lab, we explore novel technologies to provide effective plant protection against important agricultural pests. Two lepidopteran insect pests, the Cotton Bollworm (established in Australia) and the Fall Armyworm (only recently invaded Australia), feed on over 200 plant species and are notoriously difficult to control with current technologies.Our research focuses on developing new strategies to manage these lepidopteran pests. During our investigations, we observed variations in their life cycle, strength, and response to different treatments indicating that the …
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Gamified process-data cleaning
Despite the importance of data quality, it is often compromised. The majority of the time and energy in most data science projects is spent on data cleaning. Process-oriented data mining (process mining) is not an exception. A recent process mining survey shows that more than 60% of the time and effort is spent on data transformation and pre-processing. While, in most cases, the engagement of domain experts is required for accurate data cleaning, it is challenging to engage them in …
- Faculty
- Faculty of Science
- School
- School of Information Systems
Praeclarus process-data quality framework
Praeclarus is an open-source software framework that aims to facilitate data pre-processing for process mining. Process mining is specialised data mining focusing on process-data. It is of high interest to industry, with the market doubling every two years (e.g., increasing from $550M in 2020 to $1,8B in 2023). This market increase has meant that big companies like Microsoft, SAP, and IBM are acquiring process mining vendors such is Minit, Signavio, and myInvenio.Recent process mining surveys show that more than 60% …
- Faculty
- Faculty of Science
- School
- School of Information Systems
Sport AI
Videos of sport activities are widely available at large scales. AI and its sub-fields, especially computer vision and machine learning, have a great potential to analyse, understand and extract useful information from these videos.This project aims at using AI and its subfields in computer vision and machine learning to develop techniques for analysing sport videos to extract intelligence for players and coaches.
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Drone and satellite Artificial Intelligence
Satellite and drone/UAV data has a great potential to provide large-scale analytics for many domain applications. However, the wide range of data of diverse nature (e.g., optical vs. SAR, high-resolution vs. wide-coverage, mono- vs. hyper-spectral, 2-D vs. 3-D) also poses significant challenges for analytics.Deep learning holds great promise to deal with these tasks. While the number of research in this area is increasing, there still exists challenges such as co-learning of multimodal data, limited data annotation, and uncertainty in the …
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Physics-informed machine learning
Recent advances in computer vision have demonstrated superhuman performance on a variety of visual tasks including image classification, object detection, human pose estimation and human analysis. However, current approaches for achieving these results center around models that purely learn from large-scale datasets with highly complex neural network architectures. Despite the impressive performance, pure data-driven models usually lack robustness, interpretability, and adherence to physical constraints or commonsense reasoning.As in the real world, the visual world of computer vision is governed by …
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Quantum Machine Learning
Quantum machine learning is the integration of quantum algorithms within machine learning programs with great potential to solve complex problems. For instance, Google’s Sycamore processor performs in 200 seconds a task that would require 10, 000 years using a classical computer.
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Soliton solutions of the KdV equation revisited in the complex plane
Weakly nonlinear waves are described by dispersive pdes, such as the famous Korteweg–De Vries (KdV) equation, which is covered in MXB325. These models have applications to a variety of phenomena in physics, including the propagation of water waves, but they are also interesting from a mathematical perspective because they can have special properties.While the KdV equation and its variants are well-studied in the literature, a new approach is to attempt to learn about wave propagation by investigating solution behaviour in …
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Contact us
If you have questions about the Vacation Research Experience Scheme (VRES), the application process, finding a topic or anything else, get in touch with us today.