Christoph Schommer

Associate professor in Artificial Intelligence

Academic Area(s) Computer science
Research Topics Artificial Intelligence, Knowledge Discovery, Machine Learning, Data Science, Natural Language Processing
Faculty or Centre Faculty of Science, Technology and Communication
Research Unit RU CSC
Postal Address Université du Luxembourg
Maison du Nombre
6, Avenue de la Fonte
L-4364 Esch-sur-Alzette
Campus Office MNO, E04 0435-090
Email
Telephone (+352) 46 66 44 5228
Fax (+352) 46 66 44 5500
Social Media & Blogs
Speaks English, French, German
Research Stays in Germany, Italy, Luxembourg, United Kingdom, China, Singapore, Canada

Brief CV

Christoph Schommer studied Computer Science with main focus on Artificial Intelligence at Saarbrücken University (Wolfgang Wahlster, Kurt Mehlhorn) and contributed to projects at the German Research Centre for AI in the areas of Knowledge-based Systems and Natural Language Understanding. After his studies, Christoph joined IBM Research and Development for 5 years and IBM Software Group for 3 years. As an IT Architect, he was responsible for worldwide Data Mining projects in different businesses, for example in Retail, Insurance, Banking, Sports Analytics - just to name a few. During this time, he also received his PhD from the Goethe-University Frankfurt/Main (Roberto Zicari, Wolfgang Giere) for a theoretical work about the importance of Data Mining for a Medical Healthcare (2001). Today, Christoph works as Associate Professor at the University of Luxembourg with main focus on Artificial Intelligence, Knowledge Discovery, Machine Learning, and Natural Language Processing. He heads a team of 3 PostDocs, 3 PhD candidate, and several Master students. Christoph serves as scientific referee for Leibniz Association, Springer, IEEE and as PC member at international conferences like, e.g., CogSci, ECML-PKDD, AAMAS, Digital Humanities, IEEE CBMS, and others. Besides, he organizes lecture series in the area of AI and beyond. Christoph teaches courses on all academic levels at the U of Luxembourg, for EU members, as well as abroad: for example, at Tsinghua University (2015-2016), FU Berlin (each semester since Summer 2018), and Singapore University (Invited for Summer Term 2019). Christoph is member of ACM, Cognitive Science Society, and Deutsche Gesellschaft für Kognitionswissenschaft.

I am supporting the #CLAIRE initiative to support AI research in Europe! 

Current Tasks

Positions in Self-Administration

  • Head of the ILIAS Lab (2013-14, 2017-2018).
  • Elected Member of the Faculty Council (2014 - Today)
  • Director of Studies, Master of Science in Information and Computer Sciences (MICS; 2004 - 2009).
    • Conception and Implementation of the Master.
    • Accreditation by an international commission (2005-2009).
    • Establishment of a self-evaluation report, internationally reviewed and organized by the ministery of higher education and research.
    • Selection of candidates.

Boards

  • Member of the Management Board of the Doctoral Training Unit "Digital History and Hermeneutics" (2018 - )
  • Member of the Research Management Board, CSC Department (2017 - 2018).
  • Member of the Interdisciplinary Master in Space Program (2018 - ) 
  • Affiliated Faculty Member of the SnT (2010 - 02/2015)
  • Jury member of Master of Science in Computer Science (2005 - 2009).
  • Jury member of Bachelor of Engineering in Computer Science (2007 - Today).

Research Interests

Interests

  • Artificial Intelligence
  • Knowledge Discovery and Data Mining
  • Machine Learning and Applications
  • Natural Language Processing and Applications
  • Artificial Chatbots

Last updated on: Tuesday, 30 April 2019

Research Interests

Interests

  • Natural Language Understanding
  • Artificial Chatbots and Companions
  • Machine Learning and Applications
  • Artificial and Computational Intelligence
  • Data Science

Projects

  • DHH - Digital History and Hermeneutics (Doctoral Training Uni)
  • STRIPS - A Semantic Search Toolbox for the Retrieve of Similar Patterns in Luxembourgish Documents
     
  • Contributing to the Suffering and Pain project, lead by Dr. Smadar Bustan, Psychophysiology and Neurophysiology Laboratory, University of Luxembourg.
  • ESCAPE (2012-15; Efficiency, Spreading of Crisis and Algorithmic Policy Evolution / Project Lead by Prof. Grammatikos, LSF.
  • ADAM (2005-07; Adaptive Associative Memories) / Project Lead
  • TRIAS (2005-08; Trust and Reliability in Agent Systems; with Prof. van der Torre, Dr. Weydert) / Project Lead
  • ICC (2006-09; Inventing Communities of Communication; with Dr. Patrice Caire) / Project Lead
  • Evo-Business (2005-08; Evolutionary Computing and e-Business) / Project Lead by Prof. Bouvry.
  • Intra (2004-07; Intrusion Detection in Computer Networks) / Project Lead by Prof. Sorger + Prof. Malvetti.

Invited Stays and Talks

International Expert

Reviewer of Journals

Reviewer of international conferences and Invited Member of Program Committees

2020

98: DH 2020 - Digital Humanities. Ottawa, Canada. 22-24 July 2020.
97: ISMIS 2020 - 26th International Symposium on Methodologies for Intelligent Systems. Graz, Austria. 20 - 22 May 2020.
96: 12th ICAART International Conference on Agents and Artificial Intelligence. 22-24 February 2019, La Valetta, Malta.

2019

95: FAB - International Symposium on Foundations and Applications of Big Data Analytics. Vancouver, Canada, 27 - 30 August.
94: LOD 2019 - 5th International Conference on machine Learning, Optimization & Data science. September 10-13, 2019 – Certosa di Pontignano, Siena – Tuscany, Italy
93: BIDMA 2019 - International Symposium on Big Data Management and Analytics. Calgary, Canada, 25-26 April 2019.
92: KI 2019. 42nd Edition of the German Artificial Intelligence. Kassel, Germany. 23-26 September 2019.
91: ECML PKDD September 16-20, 2019 in Würzburg, Germany
90: 41st CogSci - Annual Conference of the Cognitive Science Society 2019. 24-27 July. Montréal, Canada.
89: DH 2019 - Digital Humanities. Utrecht, The Netherlands. 9-12 July 2019.
88: AAMAS 2019 International Conference on Autonomous Agents and Multiagent Systems. 13-17 May 2019. Montreal, Canada.
87: FCTA 2019 - 11th International Joint Conference on Computational Intelligence. 17-19 September 2019, Vienna, Austria.
86: 15th International Conference Beyond Databases Architectures and Structures (BDAS), Ustron, Poland. 28-31 May 2019. 
85: DHD 2019 - 6. Tagung des Verbandes "Digital Humanities im deutschsprachigen Raum.
84: 11th ICAART, International Conference on Agents and Artificial Intelligence. 19-21 February 2019, Prague, Czech Republic.

2018

83:ISMIS 2018 24th International Symposium on Methodologies for Intelligent Systems. 29-31 October 2018, Limassol, Cyprus.
83: GCAI-2018: 4th Global Conference on Artificial Intelligence. Luxembourg City, Luxembourg, September 18-21, 2018
82: 7th Special Session on Parallel and Distributed Data Mining (PDDM 2018); July 16 – 20, 2018, Orléans, France.
81: ECML-PKDD 2018. Dublin, Ireland, 10-14 September.
80: FAB - International Symposium on Foundations and Applications of Big Data Analytics. Barcelona, Spain, 28-31 August.
 79: 40th CogSci - Annual Conference of the Cognitive Science Society 2018. 25-28 July. Madison, US.
 78: 31st IEEE Computer-based Medical Systems (CBMS) 2018. 18 -21 June, Karlstad, Sweden.
 77: Digital Humanities (DH) 2018, Mexico City. 26-29 June 2018.
76: BIDMA: International Symposium on Big Data Management and Analytics. Calgary, Canada, April 24-25, 2018.
 75: IEEE - 2017 Beyond Databases Architectures and Structures (BDAS) , Poznan, Poland 18 -- 20 September 2017.
 74: 10th International Joint Conference on Computational Intelligence (IJCCI 2018), 18-20 September 2018, Sevilla, Spain.
 73:10th ICAART, Funchal, Madeira, Portugal; 16-18 January 2018.

2017

 72: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017). Sydney, Australia, 31 July - 03 August, 2017
 71: ECML-PKDD,  September 18-22, Skopje, Macedonia.
 70: 39th CogSci, London, UK; 26-29 July 2017.
 69: Workshop "Exploring Old Maps" (EOM); Würzburg, 6-7 April 2017.
 68: FAB 2017 1-3 Aug 2017. Sydney Australia.
 67: CORIA 2017, Mars 29-31. Marseille, France.
 66: 23rd International Symposium on Methodologies for Intelligent Systems. June 26-29, 2017, Warsaw, Poland. 
 65: 30th IEEE International Symposium on Computer-based Medical Systems, 22 -24 June 2017, Thessaloniki, Greece.
 64: 13th International Conference Beyond Databases, Architectures and Structures, 30 May - 02 June 2017, Ustron (near Krakow), Poland.
 63: Digital Humanities 2017 Montreal, Canada, August 8 - 11, 2017.
 62: DHD - Digital Humanities im Deutschsprachigen Raum 2017 Digitale Nachhaltigkeit, University of Bern, Switzerland. 13 - 18 February 2017.
 61: ICAART - 9th International Conference on Agents and Artificial Intelligence. Porto, Portugal. Feburary 24 - 26.

2016

 60: ECAI - European Conference on Artificial Intelligence. The Hague, Netherlands. August 29 - September 2, 2016.
 59: ECML/PKDD (Scientific Track). Riva del Garda, Italy. September 19-23.
 58: 38th CogSci - Annual Meeting of the Cognitive Science Society. Philadelphia, USA. August 10 -13.
 57: 29th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Dublin, Ireland. June 20 – 24.
 56: BIDMA - International Symposium on Big Data Management and Analytics. Calgary, Canada. April 25-26.
 55: FAB - International Symposium on Foundations and Applications of Big Data Analytics. UC Davis. 20-21 August.
 54: ICAART – 8th International Conference on Agents and Artificial Intelligence. Rome, Italy. Feburary 24 - 26.
 53: IEEE ASONAM - International Conference on Advances in Social Networks Analysis and Mining. Davis, CA, USA. August 18 - 21, 2016.
 52: MOD - Second International Workshop on Machine Learning, Optimization and Big Data. Pisa. July 2016.
 51: 12th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC 2016), Changsha, China.
 50: 13ième COnférence en Recherche d'Information et Applications. Toulouse, France. Mars 8-11.
 49: 8th NCTA - International Conference on Neural Computation Theory and Applications. November.

2015

 48: 24th IJCAI - International Joint Conference on Artificial Intelligence. Buenos Aires, Argentina. July 25 - 31, July.
 47: ECML/PKDD. Porto, Portugal. Scientific Track. September 7 - 11.
 46: 28th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Sao Paulo, Brazil. June 22 – 25.
 45: 37th CogSci - Annual Conference of the Cognitive Science Society. Mind, Technology, and Society. Pasadena, CA, USA. July 23-25.
 44: European-Asia-Pacific Conference on Cognitive Science (EAPCogSci), Torino, Italy. September 25 – 27.
 43: FAB 2015 - International Symposium on Foundations and Applications of Big Data Analytics. Paris, France. August 27 - 28.
 42: CORIA – Conférence en Recherche d’Information et Applications. Paris, France. March 18 – 20.
 41: ICAART – 7th International Conference on Agents and Artificial Intelligence. Lisbon, Portugal. January 10 -12.
 40: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Iasi, Romania. June 18 – 24.
 39: 7th NCTA - International Conference on Neural Computation Theory and Applications. Lisbon, Portugal. November 12 – 14.
 38: 12th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Zhangjiajie, PR of China. August 15 – 17.
 37: International Workshop on Machine learning, Optimization and big Data (MOD). Taormina, Sicilia, Italy. July 21 - 24.

2014

 36: ECML/PKDD. Nancy, France. September 15 – 19.
 35: 36th CogSci - Annual Conference of the Cognitive Science Society. Cognitive Science Meets Artificial Intelligence: Human and Artificial Agents in Interactive Contexts. Quebec, Canada.
 34: ICAART – 6th International Conference on Agents and Artificial Intelligence. Angers, France. March 6 – 8.
 33: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. July 1-4 2014 at Beijing, China.
 32: 6th NCTA - International Conference on Neural Computation Theory and Applications. Rome, Italy. October 22 – 24.
 31: 11th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Xiamen, PR of China. August 19 – 21.
 30: ECDA - European Conference on Data Analysis. Bremen, Germany. July 1 - 4.
 29: IEEE 23rd International Symposium on Industrial Electronics (ISIE). Istanbul, Turkey. June 1 – 4.

2013

 28: ECML/PKDD. Prague, September 23 – 27.
 27: 35th CogSci - Annual Conference of the Cognitive Science Society. Berlin, Germany. July 31 – August 3.
 26: 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Porto, Portugal. June 20 – 22.
 25: 12th International Conference on Cognitive Modeling. Ottawa, Canada. July 11 – 14.
 24: ICAART – 5th International Conference on Agents and Artificial Intelligence. Barcelona, Spain. February 15 – 18.
 23: 10th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Shenyang. July 23 – 25.
 22: ICAS - 9th International Conference on Autonomic and Autonomous Systems. Lisbon, Portugal. March 24 - 29.
 21: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Leiden, Belgium. July 11 – 13.
 20: 5th NCTA - International Conference on Neural Computation Theory and Applications. Vilamoura, Portugal. September 20 – 22.

2012

 19: 34th CogSci - Annual Conference of the Cognitive Science Society. Sapporo, Japan. August 1 – August 4. 19: 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on Learning-based Biomedical Information Systems. Rome, Italy. June 20 - 22.
 18: ICAART – 4th International Conference on Agents and Artificial Intelligence. Vilamoura, Portugal. February 6 - 8.
 17: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Mexico City, Mexico. August 7 - 9.
 16: 4th NCTA - International Conference on Neural Computation Theory and Applications. Barcelona, Spain. October 5 – 7.
 15: 9th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Chongquing, PR of China. May 29 – 31.
 14: ECDA - European Conference on Data Analysis. Luxembourg, Luxembourg. July 10 - 14.

2011

 13: 33rd CogSci - Annual Conference of the Cognitive Science Society. Boston, MA, USA. July 20 – July 23.
 12: 24th IEEE International Symposium on Computer-Based Medical Systems (CBMS).Workshop on Knowledge Discovery and Decision Systems in Biodemedicine. June 27 – 30.
 11: ICAART – 3rd International Conference on Agents and Artificial Intelligence. Rome, Italy. January 28 – 30.
 10: The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Luxembourg, Luxembourg. May 25 – 27.
 9: 3rd NCTA - International Conference on Neural Computation Theory and Applications. Paris, France. October 24 – 26.
 8: 8th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Shanghai, PR of China. July 26 – 28.

2010

 7: 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on eHealth. Perth, Australia. October 12 -15.
 6: IEEE Conference on Computer Systems and Applications (AICCSA) - Special Track on Soft Computing. Hammamet, Tunesia. May 16 – 19.
 5: 7th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Yantai, PR of China. August 10 – 12.
 4: BNAIC - Benelux Conference on Artificial Intelligence. Luxembourg, Luxembourg. October 25 – 26.
 3: ICNC - International Conference on Neural Computation. Madeira, Portugal. October 5 – 7.

2009

 2: 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on Data Mining. Albuquerque, New Mexico, USA. August 2 – 5.

2008

 1: 21th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on Knowledge Discovery and Knowledge-based Techniques in Medicine. Jyväskylä, Finland. Juni 17 – 19.

Conference Organization

Contacts



Last updated on: 10 Oct 2019

Leitmotif

Modern computer machines and algorithmic intelligence have made it possible that large amounts of data can be collected, retrieved, and analyzed from a variety of sources. This offers a high potential and many challenges, but raises also questions, for example, how data can efficiently be managed, processed, and retrieved, which algorithms can and should be used to extract knowledge out of it, and whether (or not) these extracted patterns are really reliable and durable. Also, the selection of the correct answer(s) to these findings, as for example a new marketing campaign, will lead to data back again, but then the data situation is quite different to the previous situation; the data life-cycle refers to a loop that continues:

Teaching at UL and abroad

  • Teaching at University Luxembourg
    • Information Retrieval and Learning (MICS)
    • Knowledge Discovery and Data Mining (Common course MICS + Master in Physics)
    • Machine Learning (MICS + ISM)
    • Data Science (Common course Master of Mathematics + Masters in Logistics and Supply Change Management)
    • Databases I + II (BINFO)
    • Natural Language Processing (BICS + EU Commission Staff Education)
    • Data Science for Humanities (BICS)
  • Guest Lecturer at FU Berlin, Germany (2018 - today)
  • Guest Lecturer at Potsdam University, Germany (2001-02, 2018)
  • Guest Lecturer at Tsinghua University, PR of China (2015-16)
  • Guest Lecturer at Goethe-University Frankfurt/Main (2001-07)
  • Guest Lecturer at Singapore University of Technology and Design (2019)

Courses

In this regard, the Bachelor courses are concerned with Data Science, focusing on applications. Here, we concern aspects like Data Modeling and SQL, modern Data Management systems, and Data Quality (part I) as well as Database Transactions and Concurrency, ACID, Data Security and Privacy Data Visualization, Data Mining, and Data Warehousing (part II, part III). The Master courses concern more scientific aspects in the information area: Information Retrieval (Bopolean Model, Dictionaries, Natural Language Processing, Vector Space Model, Ranking, Evaluation, Text Classification, PageRank, etc), Data Mining and Knowledge Discovery (Preprocessing, Machine Learning algorithms, Interpretation and Evaluation), Machine Learning (Deeper insights in Machine Learning algorithmic). The learning outcome for each course is an understanding of the content. I attach importance to the 'why' rather than to the 'how', encouraging students to look for alternatives, to be curious and critical, and to understand problems from different perspectives.

Winter 2019/20

126: Natural Language Processing (4 ECTS). Semester 5, BICS. With Dr Sviatlana Hoehn.
125: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). 
124: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). With Dr Vladimir Despotovic.
123: Data Science (5 ECTS), Semester 3, Master of Mathematics.
122: Artificial Intelligence (6 ECTS). Contribution to this course at Freie University Berlin; 9+10 September and 18+19 September; with Prof Christoph Benzmueller.
121: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO). 

Summer 2019

120: Selected Aspect of Artificial Intelligence. Guest Lecture at Singapore University of Technology and Design (SUTD). 3 - 7 June 2019 (20 units; Host: Prof Roland Bouffanais).
119: Artificial Intelligence (6 ECTS). Guest Lecture at Freie University Berlin. 15-19 July 2019 (block course).
118: Natural Language Processing. Training for IT-Members of the EU Commission.
117: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique.
116: Knowledge Discovery and Data Mining. (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2018/19

115: Natural Language Processing. Training for IT-Members of the EU Commission.
114: Information Retrieval (3 ECTS). Seminar. Freie Universität Berlin. 19 November 2018 - 29 November 2019 (30h). Vorbesprechung: 15 October 2018. Erasmus+ Grant.
113: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
112: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS) - with Dr Sviatlana Hoehn.
111: Data Science (5 ECTS), Semester 3, Master of Mathematics.
110: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO; with Dr Joshgun Sirajzade). 

Summer 2018

109: Knowledge Discovery and Data Mining (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).
108: Knowledge Discovery (6 ECTS). Invited Guest Lecture. University Potsdam, Institute of Computer Science. 9 April - 9 July.
107: Artificial Intelligence (5 ECTS). Invited Guest Lecture. Freie Universität Berlin. 15 May - 12 June.

Winter 2017/18

106: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
105: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS).
104: Data Science (5 ECTS), Semester 3, Master of Mathematics + Master of Economy and Entrepreneurship.
103: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO; with Prof Martin Theobald). 

Summer 2017

102: Workshop "Text Mining" (2 days, 16h; 1 ECTS). With Prof Gilles, Dr Purschke. Doctoral Training Unit DHH.
101: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique (BINFO; with Prof Martin Theobald).
100: Knowledge Discovery and Data Mining (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).
--: Summer School / LEONARDO program of the University of Luxembourg. (

Leonardo2.pdf 3.17 MB

)

Winter 2016/17

 99: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO). 
 98: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
 97: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS).
 96: Data Science (5 ECTS), Semester 3, Master of Mathematics.

Summer 2016

 95: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 94: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 93: Winter School "Digital Humanities" (15.-19.2.) Slot: "Data Science": February 16, 2016. University of Luxembourg; DH Lab (Prof Fickers).
 92: Data Science. Guest Lecture at Tsinghua University, Bejing, PR of China. June 27 - July 8, 2016 (Summer Term)
 --: Guest lecture at KMUTT Bangkok, Thailand (July 2016).

Winter 2015/16

  91: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO).
 90: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
 89: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS).
 88: Data Science (5 ECTS), Semester 3, Master of Mathematics.
 --: Guest Lecture  About Data Science , University of Cologne, Germany (January 28, 2016)

Summer 2015

 87: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 86: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 85: Introduction to Data Science. Guest Lecture at Tsinghua University, Bejing, PR of China. August 24 - September 5 2015 (Summer Term).
 --: Guest Lecture at the Goethe-University of Frankfurt/Main. Algorithms for Data Privacy. July 9, 2015. Ringvorlesung: Entrepreneurship

Winter 2014/15

 84: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 83: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 82: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2014

 81: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 80: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2013/14

 79: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 78: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 77: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2013

 76: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 75: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 74: Recent Advances in Text Mining and Retrieval (1 ECTS). Doctoral School in Computer Science and Computer Engineering (DS-CSCE). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2012/13

 73: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 72: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 71: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 70: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2012

 69: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 68: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2011/12

 67: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 66: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 65: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 64: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2011

 63: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 62: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2010/11

 61: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
 60: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 59: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 58: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2010

 57: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 56: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2009/10

 55: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 54: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 53: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 52: Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2009

 51: Database Management II (4 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 50: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2008/09

 49: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 48: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 47: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 46: Natural Language Processing and Text Mining (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 45: Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2008

 44: Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 43: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2007/08

 42: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 41: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 40: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 39: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 38: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 37: Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 36: Natural Language Processing and Text Mining (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2007

 35: Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 34: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 33: Data Mining (2 ECTS). Master of Science in Computational Sciences. Goethe-University Frankfurt/Main, Germany.

Winter 2006/07

 32: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 31: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 30: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 29: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 28: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 27: Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 26: Selected topics in AI (4 ECTS). With Leon van der Torre and Emil Weydert. Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2006

 25:Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 24: Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
 23: Text Retrieval and Mining (2 ECTS). Diploma Programme in Computer Science, Goethe-University Frankfurt/Main, Germany.

Winter 2005/06

 22: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 21: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 20: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 19: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 18: Intelligent Systems (6 ECTS). With R. Bisdorff, P. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

The Master Programme in Information and Computer Sciences (MICS) has started!

Summer 2005

 17: Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 16: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Winter 2004/05

 15: Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 14: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 13: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 12: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2004

 11: Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 10: Computer-based Learning (2 ECTS). Diploma Programme in Computer Science, Goethe-University Frankfurt/Main, Germany.

Winter 2003/04

 9: Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 8: Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 7: Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
 6: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Summer 2003

 5: Medical Computer Science (2 ECTS). Diploma Programme in Computer Science, University of Potsdam, Germany.
 4: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Winter 2002/03

 3: Data Mining (2 ECTS). Diploma Programme in Computer Science, University of Potsdam, Germany.
 2: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Summer 2002

 1: Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Certification Course IBM - DB2 Database

  • IBM DB2 V9 Certification Tests 730 and 731 - October 8, 2008 (UL)
  • IBM DB2 V9 Certification Tests 730 - September 24, 2008 (UL)
  • IBM DB2 V9 Certification Tests 730 and 731 - 2002 (Goethe-University Frankfurt)
  • IBM DB2 V9 Certification Tests 730 - 2002 (Goethe-University Frankfurt)



Last updated on: 30 Jul 2019

Current Team

Current PhD Co-Supervisions 

  • Tahereh Pazouki: "Development and behavioural validation of a tablet based math training instrument for kindergarten children" (working title).
    Under main supervision of Prof Romain Martin, LUCENT Research Unit.
  • Robert Mebenga Mbala: "Transhumanisme: Une approche éthique philosophique des nouvelles biotechnologies de la transformation de l'être" (working title).
    Co-tutuelle, and under main supervision of Prof Lukas Sosoe (UL) and Prof Marc Maesschalck (Leuven).
  • Amal Tawakuli: "Asynchronous Data Flows" "(working title)
    Under main supervision of Prof Martin Theobald, ILIAS Research Lab.  
  • Eva Andersen: "Psychiatric Associations in Europe (1842 - 1940). The Importance of Transnational Contacts for the Dissemination of Knowledge." (working title). Under main supervision of Prof Benoit Majerus, C2DH. Member of the Doctoral Training Unit DHH.
  • Shohreh Haddadan: "Argumentation Mining in Political Debates". Under main supervision of Prof Leon van der Torre. Member of the Doctoral Training Unit DHH.
  • Daniela Gierschek: "Automatic Detection of Emotions in Luxembourgish User Comments". Under main supervision of Prof Peter Gilles
  • Paul Meder: "BigTexts - A Distributed Graph Database for Large-Scale Text Analytics". Under main supervision of Prof Martin Theobald.
  • Valentina Leone: "Knowledge Patterns for the Privacy and data aProtection domain: extraction and reuse". Under main supervision of Prof Martin Theobald.
  • Vu Chau: "Data-driven identification of governing equations in continuum mechanics". Under main supervision of Prof Andreas Zilian.

PhD Supervisions

(Doctoral program @ UL exists since 2005)

  • Dr. Winfried Höhn (2018): Semiautomatische Annotation von digitalisierten Altkarten. Supervisor.
  • Dr. Dimitrios Kampas (2016): "Topic Identification considering word order in Markov Chains". Supervisor.
  • Dr. Sviatlana Höhn (2016): "Data-driven repair models for text chat with language learners". Supervisor. 
  • Dr. Mihail Minev (2014): "Feature Detection and Classification in Financial News". Supervisor.
  • Dr. Jayanta Poray (2012): "INACS -- An Intelligent and Adaptive Systems for Conversational Streams". Supervisor.
  • Dr. Sascha Kaufmann (2010): "CUBA -- Artificial Conviviality and User Behaviour Analysis". Supervisor.
  • Dr. Maria Biryukov (2010): "Methods of Extracting Meta-Information from Bibliographic Databases". Supervisor.
  • Dr. Michael Hilker (2008): "Network Security through Artificial Immunity with SANA". Supervisor.

PhD Co-Supervisions

  • Dr. Max Kemman, "Trading Zones of Digital History - Boundaries of Collaboration, Coordination, and Communication". External Expert. Main Supervision: Prof Andreas Fickers, Director of C2DH.
  • Dr. Thorsten Doherr (2018): Disambiguation of Researchers Careers: Shifting the Perspective from Documents to Authors. Vice-Chairman of the Defense jury (Centre of Research in Economics and Management; Prof Katrin Hussinger).
  • Dr. Jiali Wang (2017): System Biology Approach Towards the oncogenic signaling in GISTs (Life Science Dept). Co-Supervisor and Chairman of the Defense jury (Prof Serge Haan).
  • Dr. Alessio Antonini (2016): FirstLife, building a technological platform for supporting urban networks and institutions cooperation in daily activities. External Reviewer and Member of the Defense jury. Departimenta di Informatica, Università di Torino (2016; Prof Guido Boella).
  • Dr. Florian Feltes (2016): Mitarbeiterführung und Social-Media-Nutzung im Führungsalltag von Generation-Y-Führungskräften - Eine Explorative Analyse mittels Mixed-Methods-Ansatz. Internal Reviewer and Vice-Chairman of the jury. Luxembourg (Prof Charles Max, SnT).
  • Dr. Martin Sewell (2016): "Application of Machine Learning to Financial Time Series Analysis". External Reviewer, University College London, UK (Prof Philip Treleaven).
  • Dr. Llio Humphreys (2016): "Populating legal ontologies with information extraction based on semantic role labeling and text similarity". co-Supervisor and Chairman of Defense (Prof Leon van der Torre, Computer Science).
  • Dr. Andreas Chouliaras (2016): "Essays on the impact of information on Financial Markets: evidence from the European Financial Crisis". co-Supervisor (Prof Theoharry Grammatikos, Dept of Finance).
  • Dr. Denis Shirnin (2014): "Formalizing the twofold structure of a proactive system: Proof of concept on deterministic and probabilistic levels". co-Supervisor (Prof Denis Zampunieris, Computer Science). 
  • Dr. Philippe Blanca (2014): "The scientific journal in the age of multimodality". co-Supervisor (with Dept of Education, Culture, Cognition, and Society; Prof Charles Max, SnT).
  • Dr. Cynthia Wagner (2012): "Security and Network monitoring based on Internet flow measurements". Chairman of the Defence Jury (Prof Thomas Engel, Computer Science + SnT).

Other former members

Former Master/Diploma Candidates

2019
  • Catia Mano FerreiraChatbot implementation in the industry context (2019; Supervisor).
  • Elisabeth Joy: Similarity Search in RTL Documents and Commentaries based on Sentiments (2019; Supervisor).
  • Laurent Grober: Fake News Detection System driven by Belief Revision (2019; Supervisor).
  • Ramya Ramamurthi: Turing Test, Chatbots, Dialogue Systems (2019; Supervisor).
2018
  • Elida Van Nierop: Improving LDA Topic Modelling Using Word Embeddings Applied to a Corpus of User Commentary (2018; Supervisor)
  • Rik Lamesch: Topic Modelling and Sentiment Analysis: Analysing a Corpus of User Commentary (2018; Supervisor)
  • Bharati VijayakumarExploring Formative Feedback Using Quizbot (2018; Supervisor).
  • Soumya Ramakrishna: Computing Emotions and Sentiment Analysis in Luxembourgish News and Forums (2018; Supervisor).
  • Yaqiong Zheng: Detecting and Incorporating Emotions in a Chatbot (2018: Supervisor)
  • Simon Bandella: Learning a Distance Function for Symbols and Evaluating their Performances on Historic Maps (2018; Supervisor).
  • Mike Pereira Goncalves: Machine Learning Approaches for Collaborative Context-Aware Mobile Learning (2018; co-Supervisor).
  • Lucian Trestioreanu: Holographic Visualization of Radiology Data and Automated Machine Learning-based Medical Image Segmentation (2018; co-Supervisor).
2017
  • Yan Medernach: Teammate and opponent recognition for Luxembourg United Deep learning approach in the autonomous robot football (2017; Supervisor).
  • Claudio Cimarelli: Improving cooperation game for robot soccer competitions using machine learning techniques applied to dynamic role assignment (2017; Supervisor).
2016
  • Kristjan Kelt: Person detection using convolutional neural networks (2016; Supervisor).
  • Ian Muller: Design and Implementation of Web Services for Multiple criteria sorting and ranking (2016, co-Supervisor).
2015
  • Tahereh Pazouki: Puzzle Solution Verification and Data Mining: A Journey from Geometry and Visual Spatial Math Puzzles to Touch Based Applications (2015, co-Supervisor).
  • Raphael Sirres: Resolving the Vocabulary Mismatch Problem in Free-Form Code Search (2015, co-Supervisor).
  • Aikaterini Karanasiou: Medical Text Mining using Supervised Machine Learning for the Recognition of Drugs and Disorders (2015, Supervisor)
  • Alain PfeifferGenerating cloze key-distractor pairs from texts. University of Luxembourg (2015, Supervisor)
2014
  • Rahmi Emre OcakdanImplementation of k-Anonymity to protect sensitive data. University of Luxembourg (2014, Supervisor)
  • Cristina GhetPreserving innocence and traps perspective in linguistic steganography. University of Luxembourg (2014, Supervisor)
2012
  • Diana Marosin: Changing Enterprise Architectures: Abstract Framework, Revision Procedures and Algorithms. University of Luxembourg. 2012. (co-Supervisor)
  • Paul Bicheler:A toolkit for table-based tangible widgets. University of Luxembourg. 2012. (Co-Supervisor)
2011
  • Sergio Sousa  Intention Detection for BCI-controlled Robots. University of Luxembourg. 2011. (Supervisor)
  • Francois BeckiusA Method for Closed-Loop Brain-Computer-Interface Training Using a 14-Channel EEG. University of Luxembourg. 2011. (Supervisor)
2010
  • Ronny HeinzDo you know who you are - using scientific paper abstracts for author profiling. University of Luxembourg. 2010. (Supervisor)
2009
  • Damien GarotThe n-tier Interactional and Pro-active Architecture of a SCORM Compliant Learning Management System. University of Luxembourg. 2009. (Co-Supervisor)
2008
  • Cailing DongText Mining and Characterization of Bibliographic Communities. University of Luxembourg. 2008. (Supervisor)
  • Naipeng Dong A Fingerprint Engine for Author Profiling. University of Luxembourg. 2008. (Supervisor)
  • Yafang Wang Associative Mind-maps for Trust Modeling. University of Luxembourg. 2008. (Supervisor)
  • Claudine Brucks Semantic Network Learning from Textual Streams. University of Luxembourg. 2008. (Supervisor)
  • Cynthia WagnerCoZo+: A framework for Content Zoning of Text Streams. University of Luxembourg. 2008. (Supervisor)
  • Sviatlana DanilavaAttitude Mining zur Erkennung von Modalitaeten.. University of Luxembourg and Goethe-University Frankfurt/Main. 2008. (Co-Supervisor)
  • Jun Ma. University of Luxembourg. 2008 (Co-Supervisor).
  • Jayanta Poray. University of Luxembourg. 2008. (Co-Supervisor)
2007
  • Gerard de Melo. Adaptive Multilingual Text Classification using Ontologies Goethe-University Frankfurt/M.. 2007. (Co-Supervisor)
  • Jasmin Dzaferovic. University of Frankfurt. 2007 (Co-Supervisor).
  • Ejikeme UzoghukwuAdaptive Netting in Data Streams. University of Luxembourg. 2007 (Supervisor).
  • Conny UhdeUntersuchungen zur Autorenprofilierung in Texten mit Hilfe eines Clusteringansatzes. . University of Luxembourg and JW Goethe University. 2007. (Supervisor)
Before 2005 (UL's Master program MICS started in 2005)
  • Patrick DuesselGrid-Mining for Association Rules. University of Potsdam. 2005. (Co-Supervisor).
  • Jihua XunEvaluierung von Java-Parsern. JW Goethe-University Frankfurt/Main. 2004. (Co-Supervisor)
  • Sun Qin Integration manueller Kategorisierungsregeln in die automatische Kategorisierung im Text Mining (IBM Laboratory and Goethe-University Frankfurt/M. 2003 (Co-Supervisor).
  • Silvia BurstErweiterung eines Mining-Szenario fuer die Analyse von Marktdaten nach WpHG Paragraph 9. Goethe-University Frankfurt/M., IBM Laboratory, Boeblingen, and BAFin - Bundesamt fuer Finanzdienstleistungsaufsicht. 2003. (Co-Supervisor)
  • Henry HelffAnalyse des TV-Sehverhaltens fur Database Marketing. Goethe-University Frankfurt/M. Ogilvy & Mather. 1999. (Supervisor)
  • Sascha SlomkaAdaptive Analyse von Finanzdaten mit Regelsystemen. Goethe-University Frankfurt/M. and Gesellschaft fuer Zahlungssysteme. 1999. (Supervisor)
  • Anja KreisAnwendung von Data Mining im Wirkstoffdesign. Goethe-University Frankfurt/M. and Bayer, Leverkusen. 1998. (Supervisor)
  • Sascha KaufmannTS-SOM: Segmentierung mit selbstorganisierenden Karten am Beispiel von Telekommunikationsdaten. Goethe-University Frankfurt/M. and AT&T, Frankfurt/Main. 1998. (Supervisor)
  • Jochen SchmidtKorrelationsanalyse von Musterclustern in Zeitreihendaten Goethe-University Frankfurt/M. and Deutsche Bundesbank, Frankfurt/Main. 1998. (Supervisor)
  • Michael HopfAnwendung von Data Mining/Knowledge Discovery im Naturstoff Screening (Goethe-University Frankfurt/M. and Aventis, Frankfurt/Main. 1998. (Supervisor)
  • Michaela Pfeifer: MP-KLASS: Ein interaktives Data Mining-Werkzeug zur Entscheidungsfindung innerhalb eines Krankenhausinformationssystems (Goethe-University Frankfurt/M. and SMS, Eschborn. 1997. (Supervisor)
  • Matthias StemmlerSTLearn: Ein Data Mining-Werkzeug zur Klassifikation von Daten mit Hilfe eines baumorientierten Lernverfahrens. Goethe-University Frankfurt/M. 1996. (Supervisor)
  • Isabel ScheidingModellierung von HyTime Architectural Forms als Grundlage fuer das Annotieren strukturierter Dokumente. Goethe-University Frankfurt/M Co-supervision. 1996. (Supervisor)
  • Joachim BirkenEntwicklung einer Programmierschnittstelle für repetierenden Betrieb auf einer assoziativen Datenflussarchitektur. Goethe-University Frankfurt/M Co-supervision. 1994. (Supervisor)

and many undergraduate students performing their Bachelor-Theses (BINFO, BICS).



Last updated on: 22 Oct 2019

In the Press

  • Audrey Somnard, Letzebuerger Journal. Interview "Ressources humaines & technologies avec focus sur le digital dans le
    secteur du recrutement". 20 May 2019.
  • Jessica Bauldry, Delano. Interview "Chatbot Technology", with Dr Sviatlana Höhn. 23 August 2018.
  • Radio 100,7, Pit Walté: Interview Kunstliche Intelligenz im Allgemeinen. 13 September 2018.
  • 17 May 2018. Séminaire du Bureau du Parlament Européen au Luxembourg: Le RGPD: une stratégie de gouvernance au-delà de la protection? Participants: Viviane Reding (Députée européenne), Tine A. Larsen (Présidente de la CNPD), Professeur Christoph Schommer et Docteur Andra Giurgui (Université de Luxembourg) ainsi que Karin Basenach (Directrice du Centre européen des consommateurs)
  • 24 March 2018. Biergerforum: Roboter und Künstliche Intelligenz - Forum citoyen avec des députés européens Participants: Mady Delvaux-Stehres (European Parliament), Christoph Schommer (University Luxembourg) and 10 citizens of Luxembourg.
  • 16 May 2018. Talk @ Luxemburgischer Ethikrat: Was ist Künstliche Intelligenz? Host: Jean-Claude Milmeister, Christel Baltes-Löhr.
  • Florence Reinson, Paperjam. Interview: A la pointe de la science de l'information. June 2006.

Data Science Projects

as an IT Architect with IBM R&D (1998 - 2001) and IBM Software Group (2001 - 2003) at Shanghai Stock Exchange (China; Finance), Arcadia (England; Retail), and many others.

Books

Book Chapters

  • P. Gentsch, U. Mueller, 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.
  • C. Schommer, U. Mueller: Data Mining im eCommerce: ein Fallbeispiel zur erweiterten Logfile-Analyse In HMD - Praxis der Wirtschaftsinformatik. Band 06/2001 Business Intelligence, Vol. 222.
  • C. Schommer, H. Muster, R. Grund: Churn Prediction mit neuronalen Klassifikationsverfahren. In Neuronale Netze im Marketing-Management. Praxisorientierte Einfuehrung in modernes Data-Mining von Klaus-Peter Wiedmann und Frank Buckler. Gabler, zweite Auflage 2003, p 275. ISBN: 978-3409216739.

Industrial Papers

  • C. Schommer: Discovering Fraud Behaviour in Call Detailed Records. SecDay - 2010 Grande Region Security and Reliability Day. Saarbruecken 2010.
  • W. Mayer, C. Schommer: Mobile Patient Record Management through DB2 Everyplace In: Mobile Computing in Medicine, Springer Verlag, Heidelberg, 2002. Bibtex
  • C. Schommer, H.D. Wehle: From VSE/ESA data to Business Intelligence VSE Newsletter G225-4508-21, November 2000, published in VDI-Newsletter 2000.
  • T. Bollinger, C. Schommer, H. D. Wehle: Profitabler Einsatz von Data Mining im Customer Relationship am Beispiel der Investitionsgueterindustrie In: VDI-Berichte, Band 1381 Computational Intelligence - Neuronale Netze - Evolutionaere Algorithmen - Fuzzy Control im industriellen Einsatz. 2000.
  • T. Bollinger, C. Schommer, H.D. Wehle: Vorhersage von Lieferzeiten. IS Report - Zeitschrift fuer betriebswirtschaftliche Informationssysteme. 4. Jahrgang, 6/2000.
  • C. Schommer: Data Mining: die Suche nach versteckten Informationen im Data Warehouse Proceedings 7. Kolloquium Software - Entwicklungen, Methoden, Werkzeuge. Ostfildern, September 1997.

Tutorials

  • 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 Information Systems Engineering (CAiSE), 2000, Stockholm, Sweden



Last updated on: 22 Oct 2019

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