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Augmenting robotic grasping through AR/VR setups

The improvement of robotic grasping in the last years has mainly been pushed by new learning techniques. A promising direction is learning from demonstration, where the human operator teaches a robot the tricks of the specific task. On the other hand with these learning techniques it is hard to understand the underlying reasoning.We plan on using augmented reality and virtual reality setups to teach and validate real world robotics grasping approaches.

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

Intelligent transport systems

With the advancement in technology, new sources of transportation data (including traffic and transit, among others) have emerged which can potentially facilitate and even revolutionise transport modelling and simulation.My research team focuses on various aspects of the exploitation of emerging data for network planning, operations, management and control. This includes:New insights in travel behaviour modelling, traffic state estimation and predictionTravel patterns and multimodal travel behaviourTransit network monitoring, modelling or controlApplication of data from connected and autonomous vehicleData driven operation of …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Civil Engineering and Built Environment

Koala census using acoustics

Koalas have a characteristic bellow. For several years the Ecoacoustics team at QUT (www.ecosounds.org) has been working with koala researchers to understand koala bellowing behaviour and to use acoustics for monitoring koalas. An interesting idea is to use acoustic recorders sent through the post for koala monitoring by different landholders.

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

Ecoacoustic monitoring protocols for different ecosystems and species

The Ecoacoustics lab at QUT is researching how the collection and analysis of sound by autonomous audio recorders can scale biodiversity monitoring: www.ecosounds.org. There are many interesting audio recording devices and techniques for capturing and analysing audio. However whilst Ecoacoustics has been used in particular ecosystems to understand particular things e.g. biodiversity monitoring, there are no well developed protocols for ecoacoustic monitoring.

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

Research acoustic indices for detecting species and capturing soundscapes

The Ecoacoustics Lab at QUT is researching how the collection and analysis of sound by autonomous audio recorders can scale biodiversity monitoring: www.ecosounds.org. Our research concerns the analysis of big audio data for answering ecological questions, for example to monitoring species and biodiversity. The large sound collections we capture are called soundscapes. We have developed novels ways to summarise sound using indices – statistical summaries of sound.More informationEcosounds: Long duration recordings of the environmentABC Catalyst interview: Soundscape …

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

Visualisation and exploration of big environmental audio data

The Ecoacoustics lab at QUT is researching how the collection and analysis of sound by autonomous audio recorders can scale biodiversity monitoring: www.ecosounds.org. We are constructing the largest terrestrial acoustic sensor network in the world, comprising 400 continuously recording sensors which will collect 400TB of data per year. We have recently started working on new methods for visualising and analysing these large datasets using acoustic indices – summaries of sound data. …

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

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

Comparison of models for multivariate data analysis

Determining useful models for multivariate data still remains a challenge. There are several classes of models now available, and it is currently unclear as to which class of models tend to provide a better fit to real data in practice.This project will explore several classes of multivariate models, implement them on real data sets and compare the fits.This project would be suitable for extending into an Honours thesis.

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Genus Caloramator, model thermoanaerobes for studies on speciation and biofilm development in the Great Artesian Basin ecosystem

The Great Artesian Basin (GAB) is the largest, multilayered, deep and naturally heated subsurface aquifer in the world (storage capacity of 1012m3) which provides the outback communities with an important water resource. The GAB has five stratified layers of different geological ages and in between these layers is the flowing aquifer waters. These aquifers are recharged along the Eastern Queensland Great Dividing Range from rain water percolation and flows underground at an average flow rate of 1 -2 m/yr until …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Earth, Environmental and Biological Sciences

Cloning of genes of industrially important thermostable enzymes from thermophilic bacteria isolated from the Great Artesain Basin of Australia

DNA polymerases used in the Polymerase Chain Reaction (PCR) are heat stable enzymes produced by extremophilic microbes and have a wide range of applications in molecular biology.Heat stable enzymes referred to as extremozymes also have potential applications in the food and chemical industries due to the much faster reaction rates of chemical / enzyme reactions at high as opposed to ambient or mesophilic temperatures. In other cases, there is a decrease in viscosity at high temperatures e.g starch, which renders …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Earth, Environmental and Biological Sciences

Bioconversion (fermentation) of Syngas to useful bioproducts

Copious amounts of syngas (H2, CO and CO2 to a limited extent) is discharged in the air during petroleum refining, steel milling, and in the production of carbon black, coke, ammonia, and methanol. These green house gasses can be converted to useful products such as ethanol, butanol, acetic acid, butyric acid, and methane by microbial fermentation.Mesophilic acetogens which fix carbon dioxide using the Wood–Ljungdahl pathway, and include Clostridium carboxidivorans P7, Clostridium ljungdahlii, Clostridium autoethanogenum, Eurobacterium limosum, and Butyribacterium methylotrophicumare amongst …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Earth, Environmental and Biological Sciences

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