Research Areas

Areas

Data Management

Simplify Data Science by providing high-level abstractions, creating systems and tools to efficiently execute the various tasks of the Data Science Lifecycle

Data Security

Advancing the foundations and applications of Cryptography and the secure Internet of Things (IoT)

Knowledge Discovery

Extract maximum value out of data with an appropriate (minimal) amount of human input

Social Computing

Better understand, predict, support and shape social behaviour in complex networks and systems

Knowledge Visualization

Present data, information and knowledge extracted by algorithms in perceivable and understandable formats

Data-Driven Business

Understand and design for Data-Driven Business from the perspectives of business models, technology-enhanced (organizational) learning and knowledge management.