The Intelligent Systems research group investigates problems of a practical nature that are typically characterised by complex operations reflected by large data sets that should be mined to discover currently unknown relationships inherent to these systems.
In the process of doing research in this field, the group to study the application domain (e.g. transportation, mining, security or pattern recognition), collect the required data sets, extract features from the data, process the data by way of classification or predictive modelling and generate diagnostic reports that can be used for management purposes. In some cases, the group also builds simulation models for the underlying systems in order to perform scenario analysis for cases where physical experiments are too complex or expensive.
The group performs work in the fields of road transportation, cross-border trade corridors, security installations, mining operations, security documents, sound and video recognition and others. In all cases practical problems are addressed as identified by industry partners, e.g. more intelligent overload control, improved efficiency in cross-border processes, more accurate security surveillance systems, reconciling conflicting safety and efficiency objectives in mining, recognition of advertisements in broadcasting data and development of financial prediction models.
WTO, SANRAL, SAAF, RTMS, FESARTA, Digicore, Imperial Logistics, Techsolutions, EW Cop, Fidelity, Security, INET-BFS and others.
- A THRIP project (Intelligent Freight Security and Visibility Systems) won the Best Hi-Tech Project award from THRIP in 2012.
- An article written by Niel Swart and Alwyn Hoffman won the best paper award of the Investment Analysts Journal in 2014.
- In 2014 the group made 11 presentations at peer-reviewed international conferences.
For more information on the group’s research contact prof. Alwyn Hoffman at: