Research topics
The Data Science Institute brings together the expertise of data science researchers across Hasselt University, and aims to act as a single point of contact for all things related to data science.
Research Topics
The Data Science Institute brings together the expertise of data science researchers across Hasselt University, and aims to act as a single point of contact for all things related to data science.
Research topics that are covered by its researchers include (but are not limited to):
- In informatics and data management: NoSQL databases, data modelling, data mining, computational efficiency, data wrangling, data cleaning, concurrency control, schema learning, distributed databases, query languages, logic-based AI
- In statistics: biostatistics, clinical trials, hierarchical data, longitudinal data, categorical data, complex models, incomplete and missing data (e.g. censored and truncated data), surrogate endpoints, non-and semi-parametric statistics, rank models, survival analysis, experimental design, mathematical statistics, asymmetric distributions, spatial data statistics
- In visualisation: topological data analysis, visual design and visual analytics
- Specific application domains: omics, bioinformatics, infectious diseases, health (incl multiple sclerosis), geothermal energy
Other groups within UHasselt are active in the fields of business informatics and human-computer interaction:
- Research Group Business Informatics (BINF): data mining, decision support systems, process mining and process modelling
- Expertise Center for Digital Media (EDM): visual computing, networked and secure systems, and human-computer interaction