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Scalable Visual Analytics

Visual analytics is the science of analytical reasoning facilitated by interactive visual interface. This project aims to design and evaluate new visual representations and interact more...

Supervisor(s): Hong, Seok-Hee (Professor)

Research in Predictive Analytics for Engineering Innovation

One of the most unsolved matters in engineering innovation is forecasting the rate of improvement or rate of progress of new technologies. Forecasting models for rates of improvemen more...

Supervisor(s): Dong, Andy (Professor)

Geodesic SOM: a spherical Self-Organizing Map

The investigation of new data structures and learning algorithms to improve a Self-Organizing Map for the purpose of Visual Analytics. more...

Supervisor(s): Takatsuka, Masahiro (Associate Professor)

Machine Learning Algorithms to Detect Learning Tactics

Machine learning algorithms can be used to analyse the interactions occurring in learning environments to then adapt and personalise the experience to the learners. more...

Supervisor(s): Pardo, Abelardo (Dr)

Moderator Assistant and Cybermate: Engineering systems to support mental health

Helping participants of online communities thrive, support their pro-social behaviours and duty-of-care are challenging tasks. This is particularly difficult in the online peer supp more...

Supervisor(s): Calvo, Rafael A. (Associate Professor)

Drawing Algorithms for Almost Planar Graphs

The project aims to develop graph drawing algorithms under a number of constraints related to planarity. more...

Supervisor(s): Hong, Seok-Hee (Professor)

Algorithms for Drawing Non-Planar Graphs in Three Dimensions

The project aims to design and implement new graph drawing algorithms for non-planar graphs in three dimensions, under a number of new design constraints. more...

Supervisor(s): Hong, Seok-Hee (Professor)

MultiPlane Graph Embedding (2.5D Graph Embeddability)

The mathematics of embeddings of graphs in three dimensions with constraints using a set of 2D planes, called MultiPlane or 2.5D representation. more...

Supervisor(s): Hong, Seok-Hee (Professor)

Visualization and Analysis of Large and Complex Biological Networks and Social Networks

This project aims to design, implement and evaluate new analysis, visualization and interaction techniques for large and complex networks such as social networks and biological netw more...

Supervisor(s): Hong, Seok-Hee (Professor)

2.5D Graph Navigation and Interaction Techniques

This project aim to design, implement and evaluate new methods and algorithms for effective and efficient navigation and interaction with 2.5D graph layout. more...

Supervisor(s): Hong, Seok-Hee (Professor)