Dr Andreas Karwath

Dr Andreas Karwath

Institute of Cancer and Genomic Sciences
Rutherford Research Fellow

Contact details

Address
Centre for Computational Biology
Haworth Building (Y2)
University of Birmingham
Edgbaston
Birmingham
B15 2TT

Qualifications

  • PhD in Computer Science
  • BSc (Hons.) in Mathematics & Computer Science
  • Dipl.-Mathematiker (FH)

Biography

Dr. Andreas Karwath studied applied Mathematics and Computer Science in Stuttgart, Germany and Pontypridd, Wales. He received
his PhD from the University of Wales, Aberystyth (now Aberystwyth University) in the field of Computational Biology / Machine Learning from the Computer
Science Department. After a short excursion to industry he joined the Machine Learning and Data Mining lab of the University of Freiburg. Dr. Karwath joined
the CCB in 2017, after holding positions in Mainz, Germany (as research fellow) and Rome, Italy (as visiting researcher).

Research

The main research areas of Dr. Karwath are concerned with the application of Machine Learning and Data Mining to a variety
of fields within the life sciences. This includes Bioinformatics, Cheminformatics and medical informatics. From a computer science perspective,
he is interested in structured as well as unstructured data and the fusion of different data types.

Publications

Karwath, A. ; Hubrich, M. ; Kramer, S. (2017): Convolutional Neural Networks for the Identification of Regions of Interests in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer's Disease Conference. In: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria.

Geilke, M. ; Karwath, A. ; Kramer, S. (2016): Online density estimation of heterogeneous data streams in higher dimensions. In:  Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, Riva del Garda, Italy.

 

Geilke, Michael; Karwath, A.; Kramer, S. (2015): Modelling recurrent distributions in streams using possible worlds. In: IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, Paris, France.

Gütlein, M.; Karwath, A.; Kramer, S. (2014): CheS-Mapper 2.0 for visual validation of (Q)SAR models. In:  Journal of Cheminformatics, 6 (1), pp. 41.

Seeland, M.; Karwath, A.; Kramer, S. (2014): Structural clustering of millions of molecular graphs. In: Symposium on Applied Computing, SAC 2014, ACM, Gyeongju, South Korea.

Gütlein, M.; Helma, C.; Karwath, A.; Kramer, S. (2013): A Large-Scale Empirical Evaluation of Cross-Validation and External Test Set Validation in (Q)SAR. In: Molecular Informatics, 32 (5-6), pp. 516-528.

Seeland, M.; Karwath, A.; Kramer, S. (2012): A structural cluster kernel for learning on graphs. In: 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012, Beijing, China.

View all publications in research portal