Internet Technologies and Applications (ITARL)
With advances in Internet and World Wide Web Technologies, the design, implementation and management of Web-based systems and applications has become increasingly important. As more and more resources are available over the internet, effective and efficient tools are in high demand for information consumers/users to locate, manage and exchange disparate information. Ranging from unstructured documents and pictures to structured data, and innovative design and management , approaches are needed for researchers and practitioners to develop internet applications involving heterogeneous information.
The Internet Technologies and Applications group focuses on research in the areas of Internet/Web Technologies and Applications such as: Web databases, Web Data Management, e-Commerce and Security, Web services, e-learning and web-based learning, Agent and Mobile Computing, Spatial Information Systems, Visual Information Systems and Web & Network Multimedia. Staff members in the School play leading roles in web information systems and internet application research, as evidenced by the following professional and research activities:
- World Wide Web, International Journal, (http://www.kluweronline.com/issn/1386-145X)
- Web Information Systems Engineering and Internet Technologies Book Series, Kluwer Academic Publishers
- WISE Society and WISE International Conference Series (http://www.i-wise.org/)
- International Association for Pattern Recognition (IAPR) Technical Committee #12
E-Research Interest Group @ VU (e-Research Centre)
e-Research involves research collaborations of multidisciplinary, inter-disciplinary or intra-disciplinary of large or small scale nature among researchers and research organisations, nationally and internationally. It also refers to the research increasingly performed through distributed global collaborations enabled by the Internet, using very large data collections, terascale computing resources and high performance visualizations.
e-Research will cover ICT applications in different areas such as:
- e-Health
- e-Bioinformatics
- Environmental and Sustainability Studies
- Business Process & Legal issues
Special Interest Group in e-Research (SIGeR) aims to provide a forum for developing e-Research activities at VU, developing joint research projects, networking with potential industry and government partners, exploring funding opportunities.
SIGeR members will share e-research information and experience.
Mathematical Inequalities and Applications (MIA)
Research is carried out in mathematical inequalities that have a large potential for application to practical problems. These have impacted the areas of numerical analysis, probability theory and statistics, financial mathematics, risk theory, information theory, divergence measures, coding and guessing and, the qualitative theory of differential and integral equations, which provide models for a large number of physical and engineer phenomena.
The Research Group in Mathematical Inequalities and Applications (RGMIA) comprises a number of School staff and over 900 members throughout the world covering a wide variety of discipline areas. The School node is maintaining an active research contact with other national & international researchers including researchers from Australia, USA, Croatia, Romania, Austria, Canada, Korea and others. The RGMIA has hosted a number of international visitors demonstrating a recognition of the work undertaken. Our research is internationally recognized. The group is seen as the most prominent in the domain worldwide.
The RGMIA web site has acted both as a focus for stimulating further activity and also as resource for accessing useful information to aid workers in varied fields with a need for results in the area. The Journal of Inequalities in Pure and Applied Mathematics (JIPAM) has had a substantial international impact. The local members of the RGMIA have published numerous books in the areas of mathematical inequalities, computational methods for integration and summation of series.
Databases and Data Mining
Data is an important resource collected routinely in business, government and organisations. It can be stored in databases, data warehouses or various semi-structured/unstructured files. For business/organisation applications, suitable data needs to be extracted, linked, and integrated. Data analysis and mining techniques are required to find accurate, useful information, patterns and rules. The extraction, integration of information and discovery of interesting patterns are much more challenging tasks in data/system integration and data mining.
Image Processing and Pattern Recognition
Applications of imaging to medical, industrial and scientific problems. Development of theoretical techniques for multi-dimensional imaging analysis. Pattern and Face recognition.
Industrial Process Modelling
Techniques for quality monitoring, assessment and optimisation of industrial processes, reliability modelling, scheduling, simulation and forecasting.
Financial and Risk Modelling
Pricing of options and other financial instruments. Analysis of the Black Scholes paradigm including Path Integrals. Computational Mathematical Finance, Risk /Ruin modelling, loss models and applications of renewal theory.
