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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

Robotic education for early childhood

This project will further develop a range of robotics, coding and STEM-embedded picture books and associated learning materials for early childhood education purposes.

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

Learning with agents and avatars in gameful virtual/augmented/mixed reality applications

Immersive interfaces enhance learning experiences by situating learners into a specific authentic-feeling context; they provide learners with multisensory experiences. Good games excel at teaching players skills required to play the game, and testing the comprehension and application of these skills playfully yet systematically in such authentic contexts. Gameful design is the process of applying the principles of what makes games engaging and motivating to non-game settings.This project will explore using relevant theories and principles (e.g., Flow theory, Self-Determination Theory) as …

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

Learning with agents and avatars in gameful virtual/augmented/mixed reality applications

Immersive interfaces enhance learning experiences by situating learners into a specific authentic-feeling context; they provide learners with multisensory experiences. Good games excel at teaching players skills required to play the game, and testing the comprehension and application of these skills playfully yet systematically in such authentic contexts. Gameful design is the process of applying the principles of what makes games engaging and motivating to non-game settings.This project will explore using relevant theories and principles (e.g., Flow theory, Self-Determination Theory) as …

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

Induction of object models from videos

For a number of practical applications, it is desirable to have 3D models of the objects of interest. For example, if you wanted to have a custom shoe made, an app that takes a video of you foot and create a precise 3D model would make the process easier.Another scenario is the modelling of non-rigid objects. For example, if we could induce from underwater videos of manta rays a 3D parameterized model of this species, the model would help in …

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

Deep learning architectures

This project reviews deep learning architectures in the literature and investigates improvements for state-of-the-art algorithms.

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

Deep learning for iris recognition

This project investigates deep learning techniques including Convolutional Neural Networks (CNNs) to perform identity recognition based on the iris region.

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

Mini-autonomous car

You will be further developing the mini-autonomous car at the QUT robotics group, to enable a range of technology demonstrations and public display options.Some of the key capabilities to add or enhance include:navigationpositioningmappingscene understandingpedestrian detectionroad sign and traffic light detectioncontrol and path planning.

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

Speech recognition using deep neural networks

The success of automatic speech recognition (ASR) systems is largely driven by the availability of large-volume, high-quality speech data for building the acoustic model. In particular, recent significant quality improvements of ASR systems have been due to progress in the fields of machine learning and artificial intelligence with deep neural network (DNN) based acoustic modeling.A large volume of data is usually required for training a high-dimensional model using a DNN with many hidden layers and millions of parameters in order …

Study level
Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

QUT Arm Farm

Deep Learning has seen significant growth and improvements in computer vision systems over the last years. Our work at the Australian Centre for Robotic Vision is looking at how robotic manipulation tasks be improved by using visual feedback. A lot of activities at the intersection at robotics, vision and learning at QUT.

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

Camera-based positioning system for autonomous vehicles

This project will develop a camera-based positioning system for ground-based autonomous vehicles, including autonomous cars that enables low latency, highly accurate absolute positioning for vehicles relative to a pre-mapped environment.

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

Visual chatbot (AI)

This project aims to create an Artificial Intelligence (AI) agent that can have a natural-language dialogue with humans about the content of an image or a video.

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

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