My research areas are Data Science and Computational Life Science in general; in particular, the semantics and analysis of data as well as their innovative applications on human genomics and transcriptomics.
My research areas are Data Science and Computational Life Science in general, with a specific focus on the semantics and analysis of big, heterogeneous data as well as computational genomics and transcriptomics, in particular, with regard to the exploration of next-generation sequencing data.
Research Interests
- Information Technology, Artificial Intelligence, Data Mining, and
- Biomedical Informatics.
- Ontology Matching/Alignment, Ontology Development, Ontology Quality.
- Semantic Web and Web Services.
- Semantics-Enhanced Data Mining.
- Biological and Biomedical Informatics.
- Distributed Heterogeneous Information Management.
Research: Knowledge Engineering
His research areas machine intelligence, semantic technologies, biomedical Informatics/bioinformatics, and semantic data mining, with more than 30 refereed publications.
