Curriculum Vitae - Wiki-Wiki

1. Academic Career
2003 – today
Curriculum Vitae
Prof. Dr. Christoph Schommer
Professorship for Information Management and Net-centric Computing
University of Luxembourg, Campus Kirchberg
Dept. of Computer Science
6, Rue Richard Coudenhove Kalergi
L-1359 Luxembourg
LUXEMBOURG
Email: christoph.schommer@uni.lu
Home: http://wiki.uni.lu/mine/
Phone/Fax: +352-46 66 44 – {5228, 5500}
Private:
Christoph Schommer
2, Rue Schrobilgen; L-2526 Luxembourg, LUXEMBOURG
Born in Homburg/Saar on January 1, 1965
Religion: Roman-Catholic
Citizenship: German
• Assistant Professor at the University of Luxembourg
• Member of ILIAS = Interdisciplinary Laboratory for Intelligent and Adaptive Systems
• Directeur des études, Master of Science in Computer and Information Sciences (MICS)
• Member of ACM, SIGKDD, GI e.V.
• Scientific Committee Member of LIASIT (UL PhD School)
• Member of the Organisation Committee of the GI e.V. – Regional group Trier/Luxembourg
2001 – today
2000
1993
• Lecturer at the JW Goethe-University, Frankfurt am Main. Diploma Program in Computer
Science and Master in Computational Science (2006+).
• Lecturer at the University Potsdam (2002-2003)
• Ph.D. (summa cum laude) in Computer Science from Johann Wolfgang Goethe-University of
Frankfurt am Main, 2000 (Prof. Dr. Roberto Zicari, Prof. Dr. Wolfgang Giere).
• Major topics: Medical Informatics, Data Mining,
• Diploma in Computer Science from University of Saarbrücken in 1993 (Prof. Dr. Wolfgang
Wahlster, Prof. Dr. John Nerbonne) and the German Research Center for Artificial Intelligence,
Saarbrücken (Projects Wissensbasierte Informationspräsentation (WIP), Architectures for Speech
and Language (ASL)).
• Major topics: Artificial Intelligence, Natural Language Understanding, Text Processing,
Linguistics, User Modeling, Knowledge Representation.

2. Industrial Career
1996 - 2003
• 8 years industrial experience. Working for IBM Software Group and IBM Research &
Development in areas like
o Security: Insider Trading and Financial Risk Analysis (Stock exchange), Fraud Detection
(Credit Card Usage), Call Detail Record-Analysis (Telecommunication), Crime
Prevention (State Office of Crime Investigation)
o Market Basket Analysis and Customer Profiling
o Customer Retention and Churn Analysis
o Former member of the IBM Recognition and IBM Patent program
• Consultancy done in PR of China, Europe, and US.
1994 - 1996
• Scientific Assistant, Dept. of Computer Science – Databases and Information Systems, JW
Goethe-University of Frankfurt/Main.
• Freelancing (Andersen Consulting, et al.)
3. Research
General
My research interests are concerned with the problem on how to discover reliable and trustful information
(and probably insights) from data sources and how we could benefit from it, especially in security.
Specific
From Data to Information
• Data-centric aspects, e.g. data streams, adaptive data management, and data quality.
• Discovery of information through Knowledge Discovery, Data and Text Mining, and
Visualization.
From Information to Insights
• Understanding and representation of information
• Interpretation of information
From Insights back to Data
• Applying gained insights to practical problems.
Currently, I am leading 3 research projects and am advising 5 PhD candidates. The projects are problem-
oriented, related to security, trust, and reliability:
• Improving Network Protection/Intrusion Detection by introducing bio-inspired algorithms
• Gathering information in temporal data streams by adaptive associative memories
• Adaptive Information Memories for Agents in e-Science
• Discovering of argumentative structures in texts
• Spam detection through text summarization
4. Teaching

Bachelor level
• Databases I-III
• Information Visualization
Master level
• Intelligent Systems
• Knowledge Discovery and Data Mining
• Text Mining
• Data Mining in Security
5. Personal
Languages
• Excellent in Business English (r, w, s)
• Good in French
• Beginner in Swedish
Hobbies
• Playing the piano
• Swimming
• Opera, Theatre
• Generating crosswords

Appendix
A. Publication List
Books
Articles
• C. Schommer: Grundlagen der Medizinischen Informatik. Ergebnisse des gleichnamigen
Seminars an der Uni Potsdam. SoSe 2003. ca. 200 Seiten (September 2003).
• C. Schommer: Anwendung von Data Mining. Shaker Verlag. 2003. ISBN: 3-8322-1832-7
• C. M. Andersen, S. Bayerl, G. Bent, J. Lee, C. Schommer: Mining your own Business. IBM
Redbook Series.
o Vol 1 - Retail. ISBN 0738422940
o Vol 2 - Banking. ISBN 0738422959
o Vol 3 - Telecoms. ISBN 0738422967
o Vol 4 - Healthcare. ISBN 0738423025
• C. Schommer: Konfirmative und explorative Synergiewirkungen im erkenntnisorientierten
Informationszyklus von BAIK. infix Verlag, DISDBIS, Band 72, 2001.
• M. Hilker, C. Schommer: AGNOSCO: Identification of Infected Nodes with Artificial Ant
Colonies. Submitted to RASC 2006 – Submitted to Recent Advances in Soft Computing.
Canterbury, September 2006.
• R. Weires, C. Schommer: An Architecture for Personal Web Information Retrieval. Submitted to
ACM SIGIR - Special Interest Group on Information Retrieval. Seattle, August 2006.
• M. Hilker, C. Schommer: Description of bad-signatures for Network Intrusion Detection.
Accepted paper: 4th Australasian Information Security Workshop (AISW-NetSec 2006), Hobart,
Australia. January 2006.
• B. Schroeder, F. Hansen, C. Schommer: A methodology for pattern discovery in tennis rallys
using the adaptive framework ANIMA. Workshop Knowledge Discovery in Data Streams.
ECML/PKDD 2005, Porto.
• M. Hilker, C. Schommer: A new queuing strategy for the Adversarial Queuing Theory.
Proceedings IPSI 2005, Bled Lake, Slovenia.
• C. Schommer: Artificial Intelligence. Report of the Seminar Series on Artificial Intelligence. July
2005. Luxembourg.
• C. Schommer, B. Schroeder: ANIMA: Associate Memories for Categorical data Streams.
Proceedings of the 3rd International Conference on Computer Science and its Applications
(ICCSA-2005). San Diego, USA.
• C. Schommer: An incremental neural-based method to discover temporal skeletons in
transactional data streams. To appear in Proceedings of the 5th Recent Advances in Soft
Computing (RASC 2004), Nottingham, United Kingdom, 2004.
• C. Schommer: An SQL-like interface to retrieve associative patterns from neural skeletons. To
appear in Proceedings 2004 International Conference on Advances in Intelligent Systems -
Theory and Applications (AISTA 2004), Luxembourg, Luxembourg, 2004.

• Q. Sun, C. Schommer, A. Lang: Integration of Manual and Automatic Text Classification - A
Text Categorization for Emails and Spams. Proceedings of the 27th German Conference for
Artificial Intelligence, Ulm, Germany.
• C. Schommer: Incremental Discovery of Association Rules with Dynamic Neural Cells.
Proceedings of the Workshop on Symbolic Networks. ECAI 2004, Valencia, Spain, 2004.
• S. Bayerl, T. Bollinger, C. Schommer: Applying Models with Scoring. Proceedings on 3rd
International Conference on Data Mining Methods and Databases for Engineering, Finance and
Other Fields; Bologna, Italy, September 25-27, 2002.
• P. Gentsch, U. Müller, C. Schommer: Analytisches CRM in der Praxis: Vorgehensmodell,
Praxisbeispiele und Erfolgsfaktoren. In Ahlert et al.: Customer Relationship Marketing im Handel
- Strategien, Anwendungen, Erfahrungen. Springer Verlag, 2002.
• W. Mayer, C. Schommer: Mobile Patient Record Management through DB2 Everyplace In:
Mobile Computing in Medicine, Springer Verlag, Heidelberg, 2002.
• C. Schommer, U. Müller: Data Mining im eCommerce: ein Fallbeispiel zur erweiterten Logfile-
Analyse In HMD - Praxis der Wirtschaftsinformatik. Band 06/2001 Business Intelligence, Vol.
222.
• C. Schommer: Konfirmative und explorative Synergiewirkungen im erkenntnisorientierten
Informationszyklus von BAIK. Dissertation. Johann Wolfgang Goethe-Universität Frankfurt am
Main, Professur für Datenbanken und Informationssysteme. 2001.
• C. Schommer: Anwendung von Data Mining mit Hilfe von Mobile Computing Mobiles
Computing in der Medizin. Shaker Verlag, 2001.
• T. Bollinger, C. Schommer, H. D. Wehle: Profitabler Einsatz von Data Mining im Customer
Relationship am Beispiel der Investitionsgüterindustrie In: VDI-Berichte, Band 1381
Computational Intelligence - Neuronale Netze - Evolutionäre Algorithmen - Fuzzy Control im
industriellen Einsatz. 2000.
• T. Bollinger, C. Schommer, H.D. Wehle: Vorhersage von Lieferzeiten. IS Report - Zeitschrift für
betriebswirtschaftliche Informationssysteme. 4. Jahrgang, 6/2000.
• C. Schommer, H.D. Wehle: From VSE/ESA data to Business Intelligence VSE Newsletter
G225-4508-21, November 2000, published in VDI-Newsletter 2000.
• C. Schommer: Data Mining: die Suche nach versteckten Informationen im Data Warehouse
Proceedings 7. Kolloquium Software - Entwicklungen, Methoden, Werkzeuge. Ostfildern,
September 1997.
• C. Schommer, M. Stemmler: Supervised Learning of Fuzzy Tree Hypotheses In Bernd Reusch
(Ed.): Computational Intelligence, Theory and Applications, International Conference, 5th Fuzzy
Days, Dortmund, Germany, April 28-30, 1997, Proceedings. Lecture Notes in Computer Science
1226 Springer 1997, pp. 575-576.
• C. Schommer: Intelligent extraction of knowledge from databases, Proceedings 2nd Doctoral
consortium, CAiSE95, Jyväskylä, Finland.
• C. Schommer, C. Kemke: PAPADEUS - Paralleles Parsing ambiger deutscher Sätze Proceedings
Workshop "Wissensverarbeitung mit neuronalen Netzen", 7. Fachtagung für Künstliche
Intelligenz, 13.-16. Sept. 1993, Humboldt-Universität zu Berlin.

• C. Schommer, C. Kemke: PAPADEUS - Parallel Parsing of Ambiguous Sentences. In
Proceedings of Would Congress on Neural Networks, pages 79-82, Portland, Oregon, 1993.
• C. Schommer: PAPADEUS - Paralleles Parsing ambiger deutscher Sätze. Diplomarbeit,
Universität des Saarlandes. 1993 (Master Thesis).
B. Tutorials and Invited Talks
Tutorials
• C. Schommer: Knowledge Discovery mit dem IBM Intelligent Miner for Data: Grundlagen,
Anwendungen, Entwicklungen. University of Frankfurt, Dept. of Computer Science, October 2,
2002, 13:15-16:30, Magnus Hörsaal.
• C. Schommer: IBM Intelligent Miner for Data. University of Potsdam, Dept. of Computer
Science. May 30, 2002.
• C. Schommer: Application of Data Mining in Medicine, AIME 2001, European Society for
Artificial Intelligence in Medicine, Cascais, Portugal, 2001.
• S. Bayerl, C. Schommer: Mining in eCommerce Systems, 12th Conference on Advanced
Invited Talks
Information Systems Engineering (CAiSE), 2000, Stockholm, Sweden.
• Prinzipien der systematischen Entwicklung von Software: Methoden, Konzepte, Risiken und
Regeln. Fachhochschule für Wirtschaft, Berlin. Januar 2003.
• Interoperabilität verteilter Anwendungssysteme: Probleme und Lösungen. University of
Dortmund. November 2002.
• Systemarchitekturen zur effizienten Gewinnung von anwendungsspezifischen Wissen aus
verteilten betrieblichen Informationssystemen. Fachhochschule Braunschweig/Wolfenbüttel.
Oktober 2002.
• Data Mining in eCommerce. Dept. of Economics, JWG-University Frankfurt am Main, 01/2002.
• News about Data Mining in Industry, IBM Symposium, Berlin, 11/2001.
• Data Mining in Web Log Files: Was die Surfer wirklich interessiert. Gesellschaft für Informatik,
Regionalgruppe Rhein-Main, 02/2001.
• Data Mining in Medicine: about Preprocessing the data. Dept. of Medicine, JWG-University
Frankfurt am Main, 01/2001.
• E-Business durch E-Mining University of Applied Sciences, Heidelberg, 09/1999.
• Data Mining in Medicine 11. Jahrestagung der M Users Group of Germany. 06/1999.
C. Previous Lectures, Seminars, Internships
• Lecture on Databases I. Summer 2005. University of Luxembourg.
• Adaptive and Intelligent Systems - Seminar Series on Artificial Intelligence. Summer 2005.
University of Luxembourg.
• Seminar on Data Mining. Summer 2005. JW Goethe-University Frankfurt/Main.
• Seminar on Semantic Web. Winter 2005/2006. University of Luxembourg.
• Lecture on Data Mining. Winter 2005/2006. University of Luxembourg.

• Lecture on Information Visualization. Winter 2005/2006. University of Luxembourg.
• Lecture on Script Programming. Winter 2005/2006. University of Luxembourg.
• Seminar on Computer-based Learning. Summer 2004. Johann Wolfgang Goethe-University,
Frankfurt/Main
• Lecture on Advanced Aspects in Databases. Winter 2003/2004. University of Luxembourg.
• Lecture on Script Programming. Winter 2003/2004. University Luxembourg.
• Practicals on Interaktive Systeme für Data Mining Winter 2003/2004. Johann Wolfgang Goethe-
University, Frankfurt/Main
• Lecture on Hybrid-collective Information Mining. JW Goethe-University Frankfurt am Main,
Summer 2003.
• Seminar on Grundlagen der Medizinischen Informatik, Dept. of Computer Science, University of
Potsdam. Summer 2003.
• Lecture on Data Mining - Dept. of Computer Science, University of Potsdam (in cooperation
with Prof. Dr. T. Schaub (Wissensbasierte Systeme), Dr. J. Selbig (Max-Planck Institut für
Pflanzenphysiologie), Dr. P. Gentsch (pepper technologies GmbH). Winter 2002/2003.
• Practicals on Application of Data Mining (Goethe-University Frankfurt am Main, Winter
2002/03.
• Lecture on Data Mining (Goethe-University Frankfurt am Main. Summer 2002.
• Seminar on Databases, Internet, Object Systems (Goethe-University Frankfurt am Main, Winter
2001/2002)
D. Advising Students
PhD Theses
• Dipl. Math. Karsten Tolle, JW Goethe-University, Frankfurt/M.
• MSc. Ben Schroeder, University of Luxembourg
• Dipl. Inform. Michael Hilker, University of Luxembourg
• MSc. Ralph Weires, University of Luxembourg
• MSc. Patrice Caire, University of Luxembourg
Diploma candidates and Master Thesis Students
• Conni Uhde (JW Goethe-University Frankfurt/M.): Currently working in the range of inventing
communities of communication.
• Patrick Düssel (Universität Potsdam): Grid Computing and Data Mining (2004).
• Sun Qin: Integration manueller Kategorisierungsregeln in die automatische Kategorisierung im
Text Mining (IBM Laboratory, Böblingen, 2003).
• Silvia Burst: Erweiterung eines Mining-Szenario für die Analyse von Marktdaten nach WpHG
Paragraph 9. IBM Laboratory, Böblingen, and BAFin - Bundesamt für
Finanzdienstleistungsaufsicht (2003).
• Henry Helff: Analyse des TV-Sehverhaltens für Database Marketing (with Ogilvy & Mather;
1999).
• Anja Kreis: Anwendung von Data Mining im Wirkstoffdesign (with Bayer, Leverkusen; 1998).

• Sascha Kaufmann: TS-SOM: Segmentierung mit selbstorganisierenden Karten am Beispiel von
Telekommunikationsdaten (with AT&T, Frankfurt/Main; 1998).
• Jochen Schmidt: Korrelationsanalyse von Musterclustern in Zeitreihendaten (with Deutsche
Bundesbank, Frankfurt/Main; 1998)
• Michael Hopf: Anwendung von Data Mining/Knowledge Discovery im Naturstoff Screening
(with Aventis, Frankfurt/Main; 1998)
• Michaela Pfeifer: MP-KLASS: Ein interaktives Data Mining-Werkzeug zur Entscheidungsfindung
innerhalb eines Krankenhausinformationssystems (with SMS, Eschborn; 1997)
• Matthias Stemmler: STLearn: Ein Data Mining-Werkzeug zur Klassifikation von Daten mit Hilfe
eines baumorientierten Lernverfahrens (1996)
• Jihua Xun: Evaluierung von Java-Parsern. JW Goethe-University Frankfurt/Main (2004)
• Sascha Slomka: Adaptive Analyse von Finanzdaten mit Regelsystemen. Gesellschaft für
Zahlungssysteme (www.gzs.de, 1999)
• Isabel Scheiding: Modellierung von HyTime Architectural Forms als Grundlage für das
Annotieren strukturierter Dokumente (1996)
• Joachim Birken: Entwicklung einer Programmierschnittstelle für repetierenden Betrieb auf einer
Bachelor Theses
assoziativen Datendlussarchitektur (1994)
• Cynthia Wagner: Currently working in the area of Spam Detection and Summarization (Text
Mining).
• Claudine Brucks: Currently working in the area of Spam Detection and Summarization (Text
Mining).
• Oltjon Sulanjaku: Currently workin in the area of Visualization and Network Protection.
• Frank Hansen: Application of Data Mining for Wimbledon Tennis (2005).
• Djoukwai Derrulex: The CompilerCompiler System (2005).
• Yves Tchatchuang: Information Retrieval in distributed data sources. University Luxemburg.
Interdisciplinary work with Musée nationale d'art et d'histoire. (2004).
• Sergio Guerra: Internet Technical Manual. University Luxemburg. Interdisciplinary work with
Astron Buildings S.A. (2004).
• Amand Kopczinski: Mise en place d'un système de détection d'intrusions. University Luxemburg.
Interdisciplinary work with Centre Informatique de l'Etat (2004).