Publications Teaching Programming

About

This is the research home page of Dr. Frank-Michael Schleif. I am currently a PostDoc Researcher at the Cognitive interaction Technology - Center of Excellence , CITEC in the Group of Theoretical Computer Science at the University of Bielefeld and a Research Associate of Bruker Bioscience Corp. I am interested in algorithms for high dimensional data sets focused on clustering, classification and signal processing and encoding techniques. I also work in the context of data analysis and visualization. Most recent information about my work is given under publications.

Personal

		since 01/2010	Postdoctoral Research Fellow and Lecturer with Prof Barbara Hammer Chair of Theoretical Computer Science, University of Bielefeld Since 01/2010 I am reponsible for the project Relevance Learning for temporal neural maps In 2010 I spent some time at the University of Birmingham in the group of Reader Dr. Peter Tino
		11/2006-12/2009	Postdoctoral Research Fellow and Lecturer at the Computer Science Dept. with Prof. Dr. rer. nat Thomas Villmann Medical Department Leipzig University From 01/2007 to 12/2010, I was part project leader in the project Biodiversity The project has been successfully finished (see publications). The partners are now working on a next stage proposal. From 11/2006 - 12/2009 I was a member of and for the last year part project leader in the project MetaSTEM The project has been successfully finished (see publications - esp. our recent Bioinformatics article. We are currently working on a new proposal for a subsequent project in this line.
		2006	Ph.D. in Computer Science (Dr. rer. nat.) at Clausthal University of Technology Thesis entitled Prototype based Machine Learning in Clinical Proteomics
		2004-2006	Researcher and Software Developer at Bruker Daltonics (Numerical methods team) and group of bio-analytics (external) PhD student at CIG Clausthal University of Technology (Prof. Barbara Hammer
		2003	Research Fellow with Prof Dr. rer. nat Volker Gruhn Computer Science Department, Leipzig University
		2002	Diploma in Computer Science at Leipzig University Thesis entitled Moment based methods for optical character recognition

Research interests

Prototype based data analysis

Functional learning vector quantization
Learning Vector Quantizers (LVQ)
Supervised Relevance LVQ and improvements
Fuzzy approaches for supervised and unsupervised vector quantization
Visualization and analysis of high dimensional dataspaces


Enhancement and theoretical analysis of prototype networks Sparse models and sparse coding Metric adaptation in LVQ in very high dimensional dataspaces Algorithms for feature extraction of MS,LCMS,NMR measurements Determination of relevant input dimensions / feature selection (SRNG, wrapper methods, Genetic algorithms) Rule extraction Cost functions for margin optimizers Generalisation theory



Applications and method development for bioinformatics, analysis of spectral data (MALDI-MS,IMS,LC-MS,NMR,satelite remote sensing). Development of preprocessing and high level analysis algorithms, process optimization, statistical modeling, theoretical analysis for signals and images. Clinical proteomics (MS,LCMS,Tissue-MS) Metabolomics (H-NMR,13C-NMR) Chemometrics (IMS - hazardous material detection) Tissue, slice analysis and modeling Bacterial analysis (identification) Signal and Image processing biomarker discovery

Awards/Nominations:

Poster award - Research Festival 2004 - University of Leipzig, Germany

Best Dissertation in Computer Science - Technical University of Clausthal 2006

Nominated for GI Dissertationspreis 2006

Memberships

Member of the German Computer Science Society (GI)
Member of the European Neural Network Society (ENNS)
Executive Secretary of the German Neural Network Society and Member (GNNS)

work in academic self-administration

Next events:

You can find me at the Dagstuhl Seminar Information Visualization, Visual Data Mining and Machine Learning
and the 20th Anniversary of the European Symposium on Neural Networks (ESANN'12) in Brugge