Curriculum Vitae

Curriculum vitae

Personal details: Dr. rer. nat. Frank-Michael Schleif Hechtstrasse 41 01097 Dresden, Germany Phone: 0351 / 32041753 Email: [email protected] male, born 11. 12. 1977 in Leipzig, Germany single, nationality: German

Professional address: Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom Email: [email protected]

Education: 2013 Habilitation (postdoctoral lecture qualiﬁcation) 2004-2006 PhD studies in machine learning. PhD Thesis on Prototype based Machine Learning for Clinical Proteomics (magna cum laude), supervised by Prof. Barbara Hammer (University of Clausthal) 1997-2002 Studies of computer science, Diploma thesis: Moment based methods for cha- racter recognition, supervised by Prof. Dietmar Saupe (University of Leipzig, now University of Konstanz)

Professional experience 2014–now Marie Curie Fellow (own project) Probabilistic Models in Pseudo- Euclidean Spaces (IEF-EU funding) in the group of Reader Peter Tino, University of Birmingham

2010–2013 Postdoctoral Researcher Project leader in the project Relevance learning for temporal neural maps (DFG) and Researcher at the Chair of Prof. Barbara Hammer (Technical University of Clausthal until April 2010, now University of Bielefeld) 2009–2011 Part-Project leader in the project Fuzzy imaging and deconvolution of mass spectra in system biology (FH-Mittweida / Bruker) 2008–now Part-Project leader in the project Biodiversity funded by the state of Saxony. Research and development for signal processing and pattern recognition algorithms for the analysis of mass spectrometry data of bacteria biodiversity. 2006–2009 Postdoctoral Researcher Researcher & part project leader in the project MetaStem (University hos- pital Leipzig, BMBF). Research and development for NMR based metabolic proﬁling of stem cells. Development of an automatic analysis services for NMR spectra. Teaching in machine learning and pattern recognition. 2004–2006 Software developer and external PhD Software developer in the Research & Development department, Bruker Dal- tonik GmbH (Leipzig/Bremen), core-developer in the project ClinProTools. Development of machine learning algorithms for the classiﬁcation of high- dimensional mass-spectrometry data (tasks in the whole development pro- cess). 2003–2004 Researcher (PhD) Researcher at the University of Leipzig, Chair of Advanced Telematics and e-Business: researcher in the project Transportation in the www (SPIW).

Place on the list for professorships 2012 Professor for Computer Science and Softwareengineering (Beuth University of Applied Sciences, Berlin, Germany) 2011 Professor for Computer Science (TH-Wildau, Berlin, Germany)

Awards 2011 Method for training of supervised prototype neural gas networks and their use in mass spectrometry, Patent 7991223 issued 2. August 2011. Inventor: Thomas Villmann, Frank-Michael Schleif, Barbara Ham- mer, http://www.google.com/patents/US20080095428. The patent descri- bes a specific learning algorithm for prototype based classification employing fuzzy-labeling strategies. It is part of different software products of Bruker Daltonik, for whom I was working in 2004-2006 2006 Best computer science PhD thesis, awarded by the TU Clausthal and nomi- nated for the GI PhD award 2006

2004 Best presentation - poster award awarded by the Research Festival 2004 at Leipzig University

Cooperation’s with companies 1. Cooperation with Bruker Daltonik GmbH, Bremen & Leipzig, on machine learning methods for signal processing (since 2004) 2. Cooperation with NMR Service GmbH, Erfurt, on methods for the processing of NMR spectra (since 2006)

3. Cooperation with MESO Ingenieurburo,¨ Medizinische Software GbR, Mittweida, on method for fuzzy image processing (since 2006) Project management for third parties 1. Relevance Learning for temporal Neural Maps (RLNM), project management since Ja- nuary 2010) for the Institute of Computer Science, University of Clausthal (now for the University of Bielefeld). I was involved in the writing of the application for this funding. Main project leader: Prof. Barbara Hammer: [email protected] 2. BioImaging, project managements since 2009. The project is sub-contracted to Bruker and was primary funded by the ministry of research and education (bmb+f). I wrote the application part for the bioinformatics machine learning part. Main project contact Dr. Markus Kostrzewa [email protected] 3. MetaStem, project management of the bioinformatics part since November 2006, for the Medical Department at the University of Leipzig. I was involved in the writing of the application for this funding. Main project leader Dr. Michael Cross [email protected]. 4. Biodiversity, project management since 2008 - ﬁnished 2010, for the Medical Department at the University of Leipzig. I wrote the bioinformatics part of the application. The project was hosted by Bruker Bioscience. Main project leader Dr. Markus Kostrzewa [email protected]

Research funding 2013 Marie Curie IEF funding for an experienced researcher (own position) by the EU. Funding accumulated to 221.606 EUR. 2006-2012 Regular, personalized, funding for teaching exchange, research stays and conference visits by the DFG + German Academic Exchange Service, the EU Erasmus Teaching Exchange and within in an NSF-DFG grant Funding accumulated to ≈ 15.000 EUR. 2009 Funding by Bruker Daltonik GmbH in the context of the research line MALDI imaging (Bioimaging). Funding body: Bruker Daltonik GmbH, Bremen, Germany: Values 37.000 EUR (funding for 1 PhD student and materials for 12 month; Proposed project: Fuzzy- Imaging and deconvolution of mass spectrometry from MALDI imaging experiments.

2008 Sucessful grant application, as part of the funded project (Biodiversity), underpinning work on prototype based learning; I designed the research questions and workplan for the data analysis part of this grant, which was externally peer-reviewed. Funding body: central development agency of the Free State of Saxony (SAB); Values 50.400 EUR (funding for 1 research fellow for 12 month; Proposed project: Classiﬁcation models for mass spectrometry data in the analysis of bacteria samples).

2004-2006 My PhD position (2004-2006) was full funded by Bruker Daltonik GmbH, Bremen. I was responsible for research on prototype based learning methods for the analysis of mass spectrometry data. Main parts of my work and research are now part of the analysis system ClinProTools and ﬂexImaging. Patent 7991223 Issued on August 2, 2011. T. Villmann, Frank-Michael Schleif, B. Hammer, http://www.google.com/patents/ US20080095428.

Administrative Activities and Conference Organization 1. (forthcoming) Co-Organizer of the 10th Workshop on Self-Organizing Maps WSOM 2014; 2. Co-Organizer Workshop on Computational Intelligence (MiWoCi), Mittweida, Germany, 2009-2012; 3. Special Session Computational Intelligence in Life Sciences, 19th European Symposium on Artificial Neural Networks (ESANN), Brugge, Belgium, April 27-29 2011; 4. Special Session Sparse representation of data, 18th (ESANN), Brugge, Belgium, April 26-28 2010; 5. Special Session Neural Maps and Learning Vector Quantization - Theory and Applications, 17th (ESANN), Brugge, Belgium, April 26-28 2009; 6. Special Session Machine Learning Methods for High-Dimensional Data in Bio-medicine, 21th Computer Based Medical Systems (CBMS), Jyväskylä, Finland, June 17-19, 2008; S 7. pecial Session Data Analysis for Mass Spectrometric Problems, 7th International FLINS Conference on Applied Artificial Intelligence. August 29-31, Genova, Italy, 2006; 8. Assistant of the local organizer of the 17th Meeting of the International Society of Psy- chophysics, Leipzig, Germany, 2001

Member of scientific organisations 1. Member of the German Computer Society (GI) 2. Executive Secretary of the German Neural Network Society and Member (GNNS) 3. Member of the European Neural Network Society (ENNS) 4. Member of the German Association for Pattern Recognition (DAGM) 5. Founding member of the Institute of Computational Intelligence and Intelligent Data Analysis (CIID) e.V. Mittweida i.G.

Member of conference program committees 1. International Joint Conference on Neural Networks (IJCNN) (2010, 2012, 2014); 2. Europ. Symposium on Artificial Neural Networks (ESANN) (since 2010); 3. IEEE Conf. on Computer Based Medical Systems (CBMS) (since 2008); 4. IASTED International Conf. on Artificial Intelligence and Applications (AIA),(2010, 2011); 5. International Conference on Artificial and Neural Networks (ICANN), (2009, 2011); 6. IEEE Symposium Series on Computational Intelligence (SSCI 2011), (2011) ; 7. Workshop on Data Mining in Life Sciences DMLS’2010, (2010); 8. 11th ACIS International Conf. on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2010), (2010); 9. 8th International Conference on Machine Learning and Applications (ICMLA) (2009); 10. 5th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), (2008); 11. Mexican International Conference on Artificial Intelligence (MICAI ) (2008-2010) Reviewing for international journals and funding agencies 1. The Netherlands Genomics Initiative (NGI ), 2. Advances in Fuzzy Systems , 3. Artificial Intelligence in Medicine (AIM ), 4. BMC-Bioinformatics (BMC ),

5. Bioinformatics, 6. Data Mining and Knowledge Discovery (DAMI ), 7. IEEE-TNN, 8. Image and Vision Computing (IMAVIS),

9. Information Sciences, 10. Knowledge and Information Systems (KAIS), 11. Neurocomputing,

12. Neurocomputing - Special Issue ESANN 2008-2010,2012-2013 (Guest editor), 13. Neurocomputing Letters, 14. Neural Networks, 15. Neural Processing Letters,

16. Pattern Recognition (PatRec), 17. Pattern Recognition Letters, 18. Pattern Analysis and Applications (PAA)

Longer research stays 10 2012 University of Rhode Island (Professor Haibo He), USA 07 2012 Machine Learning Group, Peter Tino, University of Birmingham, Birming- ham, UK

01-03 2010 Machine Learning Group, Peter Tino, University of Birmingham, Birming- ham, UK 11 2009 Computational Intelligence Group, Professor Michael Biehl, University of Groningen, Groningen, The Netherlands 11 2008 Auckland University, Auckland, New Zealand

04 2008 Computational Intelligence Group, Professor Michael Biehl, University of Groningen, Groningen, The Netherlands 10 2007 Ritsumeikan University, Kyoto, Japan Invitations for research seminars 09/2012 Statistical Inference: Models in Physics and Learning, Max Planck Institute for the Physics of Complex Systems, Dresden Germany 02/2012 Dagstuhl seminar on Information Visualization, Visual Data Mining and Machine Learning 08/2011 Dagstuhl seminar on Learning in the context of very high dimensional data

02/2009 Dagstuhl seminar on Similarity-based learning on structures 05/2007 Kolloquium zum GI Dissertationspreis 2007 03/2007 Dagstuhl seminar on Similarity-based clustering and its applications to medicine and biology