Core Research Areas

1. Simulation and Visualisation

Simulation involves the creation of a computer model to represent real-world phenomenon or systems, typically built upon mathematical models and sciences to predict and visualise the behavior of the simulated systems. The research in simulation has the potential to contribute to areas such as: navigation training, robot simulator, weather forecasting and disaster prediction, fault analysis and visual simulation.

Visualisation is a study of visual representations of abstract data to reinforce human cognition. This research field is based on two components; visual design and visual computing. Among the research areas are the following: interactive and immersive visualisation, object recognition, visual image/video encoding, 3D reconstruction, computational photography and visual learning.

2. HCI and Usability Engineering

Human Computer Interaction (HCI) is a discipline concerned with the study, design, construction and implementation of human-centric interactive computer systems. Usability engineering is a field that is concerned generally with human-computer interaction and specifically in designing human-computer interfaces with high usability. It provides structured methods for achieving efficiency in interface design. The thematic areas such as in design, entertainment, education, technology, UX and usability. The research areas includes:  analysis and design methods, e-Learning and Distant Learning, emotions in HCI, game design, gamification interface, entertainment systems, HCI methods and theories, adaptive and personalized interfaces, haptic user interface, information visualization, interaction design, virtual and augmented reality environments, mobile HCI , natural user interfaces (NUI) and smart home

3. Computer Vision and Image Processing

Computer Vision is a research field of computer science that intends to model and capture the real world encompasses both fundamental theory and technique. The research areas of computer vision includes: edge detection, image segmentation and reconstruction, object identification and recognition, visual tracking, remote collaboration, real-time virtual image processing covers three major fields namely, the real-time processing, virtual images and virtual image processing. These fields include research in the following areas: raster to vector conversion and vice versa, image conversion, image processing, virtual image technique, visual data management, response time, virtual reconstruction, virtual image recognition, virtual image inspection technique, embedded system, visual simulation, virtual reality and multi–touch technology.

4. Intelligent Visual Data Analytics

The aim of Intelligent Visual Data Analytics is to generate analytical result and insight from the flood of data. The field of intelligent visual data analytics focuses on handling massive, heterogeneous, and dynamic volumes of information by integrating human judgment by means of intelligent techniques and visual representations in the analysis process. Research fields include application domains of Big Data (BD) and Big Data Analytics (BDA): visual analysis, analytical reasoning, artificial intelligence, data mining, data modelling, data/information/knowledge visualisation, knowledge discovery, intelligence analysis, machine intelligence, pattern analysis, sentiment analysis, social computing, visual analytics, visual data exploration, visual data/knowledge discovery and visualization for information retrieval.

There are four research labs to support the IVI core research areas:

  1. Simulation and Visualisation Lab (Icube)
  2. HCI and Usability Engineering Lab
  3. Computer Vision and Image Processing Lab
  4. Intelligent Visual Data Analytics Lab