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Prof. Dr. Christoph Schommer

Associate professor in Artificial Intelligence
Fachgebiet(e)	Computer science

Forschungsthemen	Artificial Intelligence, Knowledge Discovery, Machine Learning, Data Science, Natural Language Processing

Fakultät oder Zentrum

Fakultät für Naturwissenschaften, Technologie und Medizin

Department

Fachbereich Informatik

Postadresse

Université du Luxembourg
Maison du Nombre
6, Avenue de la Fonte
L-4364 Esch-sur-Alzette

Büroadresse

MNO, E04 0435-090

E-Mail

Telefon

(+352) 46 66 44 5228

Soziale Medien & Blogs

Associate Professor in Artificial Intelligence

Gesprochene Sprachen

English, French, German

Forschungsaufenthalte in

Germany, Italy, Luxembourg, United Kingdom, China, Singapore, Canada

Profile
Research
Teaching
Team & Alumni
Outreach
Publications

Groups HomePage: ilias.uni.lu/mine

Current Team:

Prof. Dr. Christoph Schommer
Isabelle Schroeder, Secretary
Dr. Salima Lamsiyah, PostDoc researcher
MSc. Aria Nourbakhsh, PhD Candidate; Collaboration21 project (see collaboration21.uni.lu)
MSc. Prince Yaw Gharbin. PhD candidate (D4H - Deep Data Science of Digital History)
MSc. Daniel Karpati, PhD Candidate
MSc. Nina Hosseini, PhD Candidate
MSc. Faria Ferooz: PhD candidate. LAST-JD Graduate School. co-tutelle with University of Bologna.
Msc. Yasi Yousefi:PhD candidate. LAST-JD Graduate School. co-tutuelle with University of Bologna.
MSc. Alejandro Raboso Campos, Doctoral Candidate (with European Investment Bank)
MSc. Ivan Jacobs, Doctoral Candidate (with AI4U Luxembourg)
Greeshma Menon. Songs to Lyrics Generation using Deep Learning Models. With Prince Gharbin (PhD candidate)
Hamza Dovutbekov: Using ChatGPT and Dall-E for a new kind of Digital Storytelling.
David Holbrechts: A practical application of Linguistic Steganography.
Navid Vafaei: An opinion text summarization approach with unsupervised domain adaptation. Daily Supervisor: Dr. Salima Lamsiyah
Ayesha Saddiqa, Research Assistant
Omar Ouardighi, Research Assistant

Guests

Prof. Yolanda Spinola, Guest Professor, University of Sevilla , 18 April 2023 -November 2023.
Jessica Cavalaglio Camargo Molano (PhD candidate, 4th year), University Rome Uninettuno 1 April 2023 - 31 August 2023.

Positions in Self-Administration

Director of Studies, Bachelor in Computer Science (interim; 09/21 - 02/22)
Vice-Director of the AI RObolab (2020 - )
Director, Doctoral School in Computer Science and Computer Engineering (interim; 2019).
Director of the ILIAS Lab (01/2013 - 12/2014, 01/2017 - 12/2018, 01/2021 - 12/2022) with 5 research groups and 40 staff members
Elected Member of the Faculty Council (2014 - 2019)
Director of Studies, Master of Science in Information and Computer Sciences (MICS; 2004 - 2009).
- Concept and Implementation
- Accreditation by an international commission.
- Establishment of a self-evaluation report, internationally reviewed and organized by the ministery of higher education and research.

Boards

Partner, Financial Computing Innovation Platform. With UC London, TU Denmark, U Rio de Janeiro, Técnico Lisboa.
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).

Last updated on: Mittwoch, den 17. Mai 2023

Research

Fields of interest

Natural Interaction with Robots
Learning
Societal impact of AI
Cognitive Systems

AIFA - Artificial Intelligence and the Future of Arts, 28 - 30 November 2022

The interactions between AI and art are emerging and to explore this area of research we are currently organising AIFA, a scientific and multidisciplinary conference that aims to provide a forum for researchers, engineers, artists and also students to exchange views on the state of research and development in the broad areas of AI and art. AIFA aims to cover a wide range of topics on which scientists and artists will discuss viewpoints and perspectives (economic, sociological, legal, ethical, and others) for or against AI. More information here: https://aifa.uni.lu/

AI & Arts / Esch 2022 European Capital of Culture

AI PhotoBooth - see also other projects here : https://esch2022.uni.lu

Projects

2023

PSP Classic : Let's talk 100 - a series of debates wrt AI

2022

PI : REMEDIS, JUMP21, National Research Fund (FNR) (2022- 2024). With Daniel Karpati. (PI)
Participating Researcher, coPI: Deep Data Science for Digital History/D4H, PRIDE, National Research Fund (FNR) (PI: Prof. Andreas Fickers, C2DH).
Participating Researcher: BeCoS, PSP Flagship, National Research Fund (FNR) (PI: Elisabeth John, Scienteens Lab, LCSB, UL). (2022-)
Participating Researcher, coPI: Collaboration 21/C21 - IPBG Industrial Fellowship program, National Research Fund (FNR) (PI: Prof Vincent Koenig). Cooperation with CISCO and Script Luxembourg (2021 - 2025).

2021

PI : AI PhotoBooth. PSP Classic, National Resereach Fund (FNR) (01/2020- 12/2021).
Particpating Researcher: AI & Art Pavilion. Funded by National Research Fund (FNR), Esch2022, University of Luxembourg.
PI, submitted, not retained for funding: D-PLERN, CORE, National Research Fund (FNR). With Prof. Thomas Vanhove and colleagues from Massachussetts General Hospital, Boston, US.
PI, submitted, not retained for funding: DETECT, Bridges, National Research Fund (FNR). With EastNets.
PI, submitted, not retained for funding: Audacity project, University of Luxembourg. With Prof. Valérie Schafer, C2DH.

2020

PI: Deephouse. Covid19 Funding Scheme, National Resereach Fund (FNR). 07/2020 -12/2020.
PI, submitted, not retained for funding: VoicePrint, CORE, National Research Fund (FNR). With Prof. Rejko Krüger.

2018

coPI: DHH - Digital History and Hermeneutics, PRIDE, National Research Fund (FNR). PI: Prof Andreas Fickers (2018-2022)
coPI: STRIPS - A Semantic Search Toolbox for the Retrieve of Similar Patterns in Luxembourgish Documents (2018-2021;PI: Prof. Peter Gilles)
Contributing to the Suffering and Pain project, lead by Dr. Smadar Bustan, Psychophysiology and Neurophysiology Laboratory, University of Luxembourg, and Prof Fernand Anton.

Before 2018

ESCAPE (2012-15; Efficiency, Spreading of Crisis and Algorithmic Policy Evolution / coPI; Project Lead: Prof. Theoharry Grammatikos, European Investment Bank and Luxembourg School of Finance.
ADAM (2005-07; Adaptive Associative Memories) / Project Lead
TRIAS (2005-08; Trust and Reliability in Agent Systems; with Prof. Leon van der Torre, Dr. Emil 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. Pascal Bouvry.
Intra (2004-07; Intrusion Detection in Computer Networks) / Project Lead by Prof. Ulrich Sorger + Prof. Massimo Malvetti.

Conference Organization

AIFA 2022 - Artificial intelligene and the Future of Arts. See https://aifa.uni.lu
Humanities and the Rise of AI, Dubai 6-10 February 2022. World Expo. Member of the Organisation Committee + Presenter: AI&Arts.
Workshop "AI and Arts" (with Daniel Karpati (UL) and Thibauld Latour (LIST) and BattleRoyal Berlin and rethink Berlin) as part of Esch2022/European Capital City; 12 November 2021. University of Luxembourg.
BNAIC/Benelearn 2021, 33rd Joint International Scientific BeNeLux Conference on AI - "AI in Action", 10-12 Noember 2021. PC Chair "AI and Arts". See the program here. University of Luxembourg.
7th Lecture Series AI4Health. See the program here. 27 January - 24 November 2021. Organisation: Prof Thomas Sauter, Dr Jun Pang, Dr Vladimir Despotovic, Prof Jorge Goncalves, Dr Venkata Satagopam, Prof Christoph Schommer
Venkata SatagopamVenkata Satagopam
6th Lecture Series AI4Health. See the program here. 3 March - 31 December 2020. Organisation: Prof Thomas Sauter, Prof Daniel Abankwa, Dr Jun Pang, Prof Christoph Schommer.
Workshop Minds and Machines: Cognitive Science, Artificial Intelligence, and Education. With Prof Constantin Rothkopf (TU Darmstadt), Prof Paul Schrater (U Minnesota), Prof Pedro Cardosos (UL), Dr Dominic Mussack, Dr Siwen Guo, Prof Christoph Schommer. 10-14 February 2020.
Workshop Philosophy of Mind: Mice, Men, and Machines. With Antonio Bikic, Adriano Mannino (both LMU Munich). 2-6 March 2020.
5th "ILIAS Lecture Series" (2018) - see here
4th "ILIAS Lecture Series" (2017) - see here

LectureSeries2017.pdf 1,60 MB
European Language Resource Coordination Workshop (ELRC 2016). June 14, 2016.
International Workshop "Exploring Old Maps" (EOM 2016; co-located with DH BeNeLux). June 8, 2016.
3rd Seminar Series 2010 - "Data Mining in Practice" / sponsored by the FNR
- FinalPoster.pdf 3,62 MB
- October 26 - December 7, 2010
2nd Seminar Series 2007 - "Data Streams" / sponsored by the FNR
November 13 - December 18, 2007
1st Seminar Series 2005- "Artificial Intelligence" / sponsored by the FNR
- ails2012.pdf 172,40 kB
- Slides.FinalBooklet.pdf 1,73 MB
- press-release.AI-SeminarSeries.LWort.pdf 1,01 MB
- May 17 - July 5, 2005

Invited Stays and Talks

University Potsdam, Institute of Computer Science - Wissensverabeitung und Informationssysteme.
Freie Universität Berlin (hosted by PD Dr Christoph Benzmüller), Dahlem Center of Machine Learning and Robotics.
C. Schommer. Data Science. KMUTT University, Bangkok, Thailand (July 11, 2016), hosted by Prof. Kittichai Lavangnananda
Tsinghua University, Institute for Interdisciplinary Information Sciences. PR of China, June 25 - July 9, 2016. (hosted by Prof de Melo, Prof Yao)
C. Schommer. About Data Science. Sprachliche Informationsverarbeitung: Computerlinguistik und Digital Humanities. University of Cologne (January 28, 2016; invited by Prof Dr Juergen Rolshoven).
Tsinghua University, Institute for Interdisciplinary Information Sciences. PR of China, August 20 - September 5, 2015. (hosted by Prof de Melo, Prof Yao)
Goethe-University of Frankfurt/Main, Prof. Zicari, Database Group (July 9, 2015; invited by Prof Dr Roberto Zicari)
University College London, UK. May 28-30, 2013. (invited by Prof Dr Philip Treleaven)

International Expert

Independent Expert for European Research and Innovation
Leibnitz Associatio
IEEE
Springer, Transactions on Computational Collective Intelligence
Springer Journal of Data Mining and Knowledge Discovery
Springer, Neural Processing Letters
Elsevier, Journal on Applications of Mathematical Analysis and Applications
Elsevier Journal for Mathematics and Computers in Simulation
Elsevier Journal for Telematics and Informatics
Elsevier Journal for Knowledge-based Systems
International Journal of Computational Science and Engineering
IEEE, Journal on Parallel and Distributed Systems
World Scientific Publishing Co. Ltd, Singapore
Dutch Research Council

Reviewer of Journals

Reviewer of international conferences and Invited Member of Program Committees

2023

113: The 38th ACM/SIGAPP Symposium On Applied Computing. Tallinn Estonia. 27-31 March 2023.
112: DH 2023 DH. Digital Humanities 2023. 10-14 July. Graz, Austria.

2022

111: ACM EB-ASONAM - The 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. The Hague, 10-13 November 2022.
110: DH 2022 DH. Alliance of Digital Humanities Organisations "Responding to Asian Diversity". 25 - 29 July. Tokio, Japan.
109: ACM SAC. 25 - 29 April, Brno, Czech Republic.

2021

109: BNAIC 2021. Luxembourg, 10-12 November 2021 (PC Track Chair "AI and Arts")
108: ACM SAC https://www.sigapp.org/sac/sac2021/ Gwangju, Korea, 22 - 26 March 2021

2020

107: FAB - International Symposium on Foundations and Applications of Big Data Analytics. Vancouver, Canada, 27 - 30 August.

106: 42nd CogSci - Annual Conference of the Cognitive Science Society 2019. 29 July - 1 August. Toronto, Canada.105: ACM Workshop on NeuroEvolution at Work (NEWK) at GECCO 2020, Cancun, Mexico, 8-12 July 2020.
104: FCTA 2020 - 12th International Joint Conference on Computational Intelligence. 2-4 November 2020, Budapest, Hungary.
103: IJCAI-PRICAI 2020. 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence. Yokohama, Japan 11-17 July 2020.
102: DHD 2020 - 7. Tagung des Verbandes "Digital Humanities im deutschsprachigen Raum - Spielräume. Paderborn.
101:6th International Conference on Machine Vision and Machine Learning, 13-15 August 2020, Prague, Czech Republic.
100: 6th International Conference on machine Learning, Optimization & Data science - An Interdisciplinary Conference: Deep Learning, Optimization and Big Data without Borders, Certosa di Pontignano (Siena) Tuscany, Italy July 19-22, 2020.
99: 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020). 25-27 July 2020 in Xian, China.
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: 7^th 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.

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.

Last updated on: 10 Mai 2023

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 Freie Universität Berlin, Germany (2018, 2019, 2020, 2021)
Guest Lecturer at Potsdam University, Germany (2001, 2002, 2018)
Visiting scholar at Tsinghua University, PR of China (2015, 2016)
Guest Lecturer at Goethe-University Frankfurt/Main (2001, 2002, 2003, 2004, 2005, 2006, 2007)
Guest Lecturer at Singapore University of Technology and Design (2019, 2020, 2021, 2022)

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). The Master courses concern more scientific aspects in the information area: Information Retrieval (Boolean 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 2023/24

to come

Summer 2023

170: Common lecture with Manuela Naveau, Kunstuniversität Linz and Ars Electronica Linz: Critical Data and Data Science (10h).
169: Elements of AI 1 March 2023, 2h.
168: Data Science for Humanities (4 ECTS). Semester 6, Bachelor Academic in Computer Science. With colleagues of the Dept of Humanities + C2DH.
167: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique.
166: Knowledge Discovery and Data Mining, (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2022/23

165: Machine Learning for Art Production. Doctoral Workshop. 28 November 2022.
164: Innovation in Art History for interdisciplinary research. Doctoral Workshop (Supervisor). January 2023. Performed by Egberdien van der Peijl.
163: Machine Learning (4 ECTS) with focus on AI&Arts. 7 November - 19 December 2022. Common course with FU Berlin "Machine LEarning" in cooperation with Prof. Tim Landgraf (FU Berlin) and as part of the Framework Agreement with FU Berlin.
162: AI + Future of Living 2h (lecture), 11 November 2022, Master in Philosophy, 'AI and Philosophy', University of Luxembourg.
161: AI for the Medicine, 2h (Guest lecture), 30 September 2022, Bachelor in Medicine: Introduction à l'examen clinique, Semester 3, University of Luxembourg.
160: Data Science 12h, Master in Finance, University of Luxembourg.
( Natural Language Processing (4 ECTS). 28h, Semester 5, Bachelor in Computer Science. Delegated to Dr. Salima Lamsiyah. )
159: Information Retrieval and Learning (2 ECTS). 20h, Semester 1. Master of Information and Computer Science (MiCS).
158: Data Science (5 ECTS), 28h Semester 3, Master of Mathematics.
157: Database Management I (5 ECTS). 42h, Semester 3. Professional Bachelor of Informatics (BINFO).

Summer 2022

156: Selected Aspect of Artificial Intelligence. 20h, Invited Guest Lecture at Singapore University of Technology and Design (SUTD). 10 - 16 August 2022. See Booklet/Workshop:

Booklet - 24August2022.pdf 2,83 MB

155: Data Science for Humanities (4 ECTS). Semester 6, Bachelor Academic in Computer Science. With colleagues from Dept of Humanities + C2DH.
154: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique.
153: Knowledge Discovery and Data Mining, (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2021/22

152: AI + Future of Living 2h (lecture), 3 December 2021, Master in Philosophy, 'AI and Philosophy', University of Luxembourg.
151: AI for the Medicine, 2h (lecture), 1 October 2021, Bachelor in Medicine, University of Luxembourg.
150: Information Retrieval 10h, 4 October - 25 October, Master in Finance, University of Luxembourg.
149: Natural Language Processing (4 ECTS). 28h, Semester 5, Bachelor in Computer Science.
148: Information Retrieval and Learning (2 ECTS). 20h, Semester 1. Master of Information and Computer Science (MiCS).
147: Data Science (5 ECTS), 28h Semester 3, Master of Mathematics.
146: Database Management I (5 ECTS). 42h, Semester 3. Professional Bachelor of Informatics (BINFO).

Summer 2021

145: NLP in Action (30h, 3 ECTS). Seminar. Freie Universität Berlin..
144: Selected Aspect of Artificial Intelligence. 20h, Guest Lecture at Singapore University of Technology and Design (SUTD). 15 - 19 Feburary 2021.

Booklet.pdf 2,36 MB

143: Data Science for Humanities (4 ECTS). 30h, Semester 6, Bachelor Academic in Computer Science.
142: Database Management II (4 ECTS). 45h, Semester 4, Bachelor Professionelle en Informatique.
141: Knowledge Discovery and Data Mining, 20h (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2020/21

140: Machine Learning, ISM Space Master.
139: Natural Language Processing (4 ECTS). Semester 5, BICS.
138: Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS).
137: Data Science (5 ECTS), Semester 3, Master of Mathematics.
136: Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics (BINFO).

Summer 2020

135: Information Retrieval (3 ECTS). Seminar. Freie Universität Berlin. 14 - 18 September 2020 (28h). Vorbesprechung: 1 September 2020, 10h00. Where. Takustr 9, SR 049.
134: Selected Aspect of Artificial Intelligence. Guest Lecture at Singapore University of Technology and Design (SUTD). 1 - 5 June 2020.

Final-Booklet.pdf 831,16 kB

133: Philosophy of Mind: about Mice, Men, and Machines. (2 ECTS), Doctoral Programme (by Antonio Bikic, Adriano Mannino). 2 - 6 March 2020.
132: Data Science for Humanities (4 ECTS). Semester 6, Bachelor Academic in Computer Science.
131: Database Management II (4 ECTS). Semester 4, Bachelor Professionelle en Informatique.
130: Knowledge Discovery and Data Mining. (5 ECTS). Semester 2, Academic Master in Information and Computer Sciences (MICS).

Winter 2019/20

129: Natural Language Processing (5 ECTS). Guest Lecture at Freie University Berlin. 5 November 2020 - 25 February 2021.
128: Machine Learning (4 ECTS). Semester 3. ISM Space Master.
127: Minds and Machines: Cognitive Science, AI, and Education. Doctoral Workshop (2 ECTS). With Prof Pedro Cardoso-Leite, Dr Siwen Guo, Dr Dominick Mussack (all UL) and Prof Constantin Rothkopf (TU Darmstadt), Prof Paul Schrater (U Minnesota). 10-14 Feburary 2020.
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.

Booklet.pdf 1,25 MB

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).

DataScience.pdf 149,00 kB

--: 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: 28 Mär 2023

Open Positions:

1 PostDoc position : Machine Learning/NLP as part of the PRIDE D4H Doctoral Training Unit

PostDocs

Dr. Salima Lamsiyah, Researcher in Natural Language Processing, ML
N.N. - PostDoc position

Current Supervisions and co-supervisions

MSc. Prince Yaw Gharbin. Creating Historical Stories with Illustrations for Digital History, using Natural Language Processing and Deep/Machine learning models. Supervisor. / D4H - Deep Data Science of Digital History.
MSc. Yasi Yousefi.The quest for Fairness in AI: Legal, Ethical, and Technical Solutions. LAST-JD Graduate School. co-tutuelle with University of Bologna, Prof. Silvia Zullo. Supervisor
MSc. Alejandro Raboso Campos (external PhD candidate; European Investment Bank): Artificial Intelligence for unstructured data analysis in fundamental value investments. Supervisor.
MSc. Ivan Jacobs, Doctoral Candidate (with AI4U Luxembourg): Programmable and explainable Deep learning Target Discovery and solution generation.
MSc. Daniel Karpati: REMEDIS The Limits of Autonomous Decision-making in Machine Ethics. Supervisor.
MSc. Aria Nourbaksh /C21 (August 2022): PhD topic about Chatbots; with CISCO and script.lu Supervisor.
MSc. Faria Ferooz: Legal Knowledge modelling of medieval manuscript of history of law: linked open Data of Cultural Heritage. LAST-JD Graduate School. co-tutuelle with University of Bologna, Prof. Palmirani. Supervisor.
MSc. Nina Hossini-Kivanani: Speech Recognition with Parkinson Patients. Supervisor.
Msc. Jingjing Xu: The research topic is to develop a leading knowledge-graph based question-answering (KG-QA) approach by combining the previous approaches for QA into one coherent framework. Co-Supervisor. Under main supervision of Prof. Martin Theobald.
MSc. Paul Meder: BigTexts - A Distributed Graph Database for Large-Scale Text Analytics. co-supervision. Under main supervision of Prof. Martin Theobald.
MSc. Rachele Carli: Deception in social robotics: problematic profiles of human-robot interaction. Under main supervision of Prof Leon van der Torre.
MSc. Giuseppe Pisana: Legal reasoning: argumentation and explanation. Under main supervision of Prof Leon van der Torre.
MSc. Vu Chau: "Data-driven identification of governing equations in continuum mechanics". Under main supervision of Prof Andreas Zilian.

Guests

Prof. Yolanda Spinola, Guest Professor, UNiversity of Sevilla , 18 April 2023 -30 November 2023.
Jessica Cavalaglio Camargo Molano (PhD candidate, 4th year), University Rome Uninettuno 1 April 2023 - 31 August 2023

PhD Supervisions

(Doctoral program @ UL exists since 2005)

Dr. Ekaterina Kamlovskaya (2021): Approaching Indigenous Australian History with Text Mining methods. Superisor. DHH Graduate School).
Dr. Federico Galli (2021): The Unfair Commercial Practices Directive in the age of AI and personalization. Supervisor. University of Bologna, Italy - LAST-JD program)
Dr. Siwen Guo (2019): Deep Neural Networks for Sentiment Analysis with Information Decay. Supervisor.
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.

Dr. Shohreh Haddadan: "Argumentation Mining in Political Debates". Under main supervision of Prof Leon van der Torre. Member of the Doctoral Training Unit DHH. Defence: 4 April 2022. Chair of the Defence.
Dr. Daniela Gierschek: "Automatic Detection of Emotions in Luxembourgish User Comments". Under main supervision of Prof Peter Gilles (Department. of Linguistics). Defence: 25 February 2022. Vice-Chair of the Defence.
Dr. Lucio Idone (2020, UC London, UK): Validation of trading strategies for the foreign exchange. Role: External Expert + Chairman of Defence.
Dr. Valentina Leone (2021) "Knowledge Patterns for the Privacy and data Protection domain: extraction and reuse". Co-Supervisor. Under main supervision of Prof Martin Theobald.
Dr. Eva Andersen (2021):"Psychiatric Associations in Europe (1842 - 1940). The Importance of Transnational Contacts for the Dissemination of Knowledge." Under main supervision of Prof Benoit Majerus , C2DH. Member of the Doctoral Training Unit DHH . Role: co-Supervisor and Chairman of Defence.
Dr. Denis de Montigny. Bayesian Networks for Asset Management and Financial Risk. External Expert and Chairman of Defence. UC London (2020)
Dr. Robert Mebenga Mbala"Transhumanisme: Une approche éthique philosophique des nouvelles biotechnologies de la transformation de l'être". Co-tutuelle, and under main supervision of Prof Lukas Sosoe (UL) and Prof Marc Maesschalck (Leuven). Role: co-Supervisor and Chair of the Defence.
Dr. Tahereh Pazouki (2019): "MaGrid – From Developing a Language-Neutral Learning Application to Predictive Learning Analytics". External Expert. Main Supervision: Prof Roman Martin and Prof Antoine Fischbach).
Dr. Max Kemman (2018): "Trading Zones of Digital History - Boundaries of Collaboration, Coordination, and Communication". External Expert. Main Supervision: Prof Andreas Fickers, 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 + Chairman of Defence; 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

Dr Vladimir Despotovic (Reseach Associate, PostDoc; 09/19 - 12/21)
Dr Joshgun Sirajzade Research Associate, PostDoc, STRIPS , DeepHouse (06/19 - 12/20)
Dr Julianna Stropp (PostDoc Researcher; 02/20 - 11/20) Taxon-Time. Marie Curie Fellowship (EU Programme).
Dr. Juliane Tatarinov (PostDoc Resarcher; 06/21 -11/21).
Dr Siwen Guo, PostDoc researcher (12/2019)
Dr. Dimitrios Kampas (06/2016)
Dr. Sviatlana Höhn (03/2016; 01/2018 - 08/2019)
Dr. Alejandro Correa Bahnsen (2012-2014)
Dr. Patrice Caire (11/2006 - 10/2007)
MSc. Aliona Codrean (2021)
Dipl.-Inf. Ralph Weires (04/2006 - 03/2008)
MSc. Ben Schroeder (10/2005 - 09/2007)

Master/Diploma Candidates

2023

Hamza Dovutbekov. Using ChatGPT and Dall-E for a new kind of Digital Storytelling.
Greeshma Menon. Songs to Lyrics Generation using Deep Learning Models. With Prince Gharbin (PhD candidate)
David Holbrechts: A practical application of Linguistic Steganography.
Navid Vafaei: An opinion text summarization approach with unsupervised domain adaptation. Daily Supervisor: Dr. Salima Lamsiyah

2022

Keerthana Murugaraj:Automated Summarization of Historical Texts (working title, in progress). Supervisor. Daily Supervisor: Dr. Salima Lamsiyah
Natsumi Shokida (with U Montreal) : Topical evolution of gender studies (in progress; Defence: 14 October 2022). Supervisor.
Aishwarya Krishnan: Design of a Chatbot for the SES Service-Now knowledge base (with SES Astra). Supervisor.
Léo Hillah: MOIEN: Moving English to Luxembourgish with Seq2Seq Networks. Supervisor.
Dastan Kasmamytov: Analysis of Open-Source Chatbot Architectures:Chirpy-Cardinal and Rasa.Master Thesis at FU Berlin. January 2022 (Supervisor).

2021

Yann Hoffmann: Reinforcement Learning for Autonomic Computing applied mostly to optimizing streaming engines within Talkwalker. Co-Spervisor.
Lucas Souza Romao: Analyzing skill networks of the European labor markets. Reviewer.
Pin Zhu. Alternating Minimization Methods for efficient training of (Deep) Neural Network’s parameters (Supervisor; with IEE)
Trang Thi Huyen Trang HOANG: Detecting Attacks against Telecom Networks with Deep Learning (Supervisor; with Post, Luxembourg)

2020

Rudrani Sharma: Building up Explainability of Multilayer Perception Neural Tetwork (with POST Luxembourg; Supervisor).
Sebastien Valenne: From text to knowledge: Generating a knowledge graph from JIRA tickets and emails (Reviewer).
Peter Hennen: Retailer Order Prediction Model with Market Basket Analysis (Supervisor).
Mei Peng: Knoweldge Transfer: from synthetic data to real data (with IEE; Supervisor).
Anna Felix: Sentiment, RTL News Messages, Project STRIPS (working title; Supervisor)
Ze Wang: Deep Learning, Speech, and Parkinson (working title; Supervisor)
Jingjing XU: Graph-based Mining (working title; Reviewer)
Rosita Gerbo, University Torino (Erasmus Student): Master thesis in the field about Psychology and AI, for example a chatbot simulating sadness (working title; Supervisor)

2019

Sadi Nasib: Real-time Streaming Detection of Anomalous Taxi Driving Behaviour (Reviewer)
Plarent Haxhidauti: Guided Inductive Logic Programming (Reviewer).
Doni Endringer: ADvanced Content Analysis for Web pages in Apache Spark (Reviewer).
Catia Mano Ferreira: Crafting Conversational Agents' Personality in a User-Centric Context (Supervisor).
Elisabeth Joy: Similarity Search in RTL Documents and Commentaries based on Sentiments (Supervisor).
Laurent Grober: Fake News Detection System driven by Belief Revision (Supervisor).
Ramya Ramamurthi: An Enhanced Chatbot with Character-based Associative Memories (Supervisor).
Maya Olszewski: Exploring Permissions in In/Output (Reviewer).

2018

Elida Van Nierop: Improving LDA Topic Modelling Using Word Embeddings Applied to a Corpus of User Commentary (Supervisor)
Rik Lamesch: Topic Modelling and Sentiment Analysis: Analysing a Corpus of User Commentary (Supervisor)
Bharati Vijayakumar: Exploring Formative Feedback Using Quizbot (Supervisor).
Soumya Ramakrishna: Computing Emotions and Sentiment Analysis in Luxembourgish News and Forums (Supervisor).
Yaqiong Zheng: Detecting and Incorporating Emotions in a Chatbot (Supervisor)
Simon Bandella: Learning a Distance Function for Symbols and Evaluating their Performances on Historic Maps (Supervisor).
Mike Pereira Goncalves: Machine Learning Approaches for Collaborative Context-Aware Mobile Learning (co-Supervisor).
Lucian Trestioreanu: Holographic Visualization of Radiology Data and Automated Machine Learning-based Medical Image Segmentation (co-Supervisor).
Mihail Antonov Tachev: Comparative Study of Machine Learning Techniques for Subfound Classification (Reviewer).
Mike Pereira Goncalves: Machine Learning Approaches for Collaborative Context-aware Mobil Learning (Reviewer).
Lucian Trestioreanou: Holographic Visualization of Radiology Data and Automated ML-Based Image Segmentation (Reviewer).

2017

Yan Medernach: Teammate and opponent recognition for Luxembourg United Deep learning approach in the autonomous robot football (Supervisor).
Claudio Cimarelli: Improving cooperation game for robot soccer competitions using machine learning techniques applied to dynamic role assignment (Supervisor).
Maciej Zurad: Deep Convolutional Neural Network for 6-DOF Image Localization (Reviewer).

2016

Kristjan Kelt: Vision-based human detection for aerial images (2016; Reviewer).
Ian Muller: Design and Implementation of Web Services for Multiple criteria sorting and ranking (2016, Reviewer).

2015

Tahereh Pazouki: Puzzle Solution Verification and Data Mining: A Journey from Geometry and Visual Spatial Math Puzzles to Touch Based Applications (Reviewer).
Raphael Sirres: Resolving the Vocabulary Mismatch Problem in Free-Form Code Search - A GitHub Search Engine (Reviewer).
Aikaterini Karanasiou: Medical Text Mining using Supervised Machine Learning for the Recognition of Drugs and Disorders (Supervisor)
Alain Pfeiffer: Generating cloze key-distractor pairs from texts. University of Luxembourg (Supervisor)
Zohreh Baniasadi: Machine Ethics in utiltarian-based Deontic Logic (Reviewer).

2014

Rahmi Emre Ocakdan: Implementation of k-Anonymity to protect sensitive data. University of Luxembourg (Supervisor)
Cristina Ghet: Preserving innocence and traps perspective in linguistic steganography. University of Luxembourg (Supervisor)

2012

Diana Marosin: Changing Enterprise Architectures: Abstract Framework, Revision Procedures and Algorithms. University of Luxembourg (Reviewer)
Paul Bicheler:A toolkit for table-based tangible widgets. University of Luxembourg (Reviewer)

2011

Sergio Sousa Intention Detection for BCI-controlled Robots. University of Luxembourg. 2011 (Supervisor)
Francois Beckius: A Method for Closed-Loop Brain-Computer-Interface Training Using a 14-Channel EEG. University of Luxembourg (Supervisor)

2010

Ronny Heinz: Do you know who you are - using scientific paper abstracts for author profiling. University of Luxembourg (Supervisor)

2009

Damien Garot: The n-tier Interactional and Pro-active Architecture of a SCORM Compliant Learning Management System. University of Luxembourg (Reviewer)

2008

Cailing Dong: Text Mining and Characterization of Bibliographic Communities. University of Luxembourg. (Supervisor)
Naipeng Dong: A Fingerprint Engine for Author Profiling. University of Luxembourg. (Supervisor)
Yafang Wang: Associative Mind-maps for Trust Modeling. University of Luxembourg. (Supervisor)
Claudine Brucks: Semantic Network Learning from Textual Streams. University of Luxembourg. (Supervisor)
Cynthia Wagner: CoZo+: A framework for Content Zoning of Text Streams. University of Luxembourg. (Supervisor)
Sviatlana Danilava: Attitude Mining zur Erkennung von Modalitaeten.. University of Luxembourg and Goethe-University Frankfurt/Main. (Reviewer)
Jun Ma. University of Luxembourg. (Reviewer).
Jayanta Poray. University of Luxembourg. (Reviewer)

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 Uzoghukwu: Adaptive Netting in Data Streams. University of Luxembourg. 2007 (Supervisor).
Conny Uhde: Untersuchungen 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 Duessel: Grid-Mining for Association Rules. University of Potsdam. 2005. (Co-Supervisor).
Jihua Xun: Evaluierung 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 Burst: Erweiterung 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 Helff: Analyse des TV-Sehverhaltens fur Database Marketing. Goethe-University Frankfurt/M. Ogilvy & Mather. 1999. (Supervisor)
Sascha Slomka: Adaptive Analyse von Finanzdaten mit Regelsystemen. Goethe-University Frankfurt/M. and Gesellschaft fuer Zahlungssysteme. 1999. (Supervisor)
Anja Kreis: Anwendung von Data Mining im Wirkstoffdesign. Goethe-University Frankfurt/M. and Bayer, Leverkusen. 1998. (Supervisor)
Sascha Kaufmann: TS-SOM: Segmentierung mit selbstorganisierenden Karten am Beispiel von Telekommunikationsdaten. Goethe-University Frankfurt/M. and AT&T, Frankfurt/Main. 1998. (Supervisor)
Jochen Schmidt: Korrelationsanalyse von Musterclustern in Zeitreihendaten Goethe-University Frankfurt/M. and Deutsche Bundesbank, Frankfurt/Main. 1998. (Supervisor)
Michael Hopf: Anwendung 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 Stemmler: STLearn: Ein Data Mining-Werkzeug zur Klassifikation von Daten mit Hilfe eines baumorientierten Lernverfahrens. Goethe-University Frankfurt/M. 1996. (Supervisor)
Isabel Scheiding: Modellierung von HyTime Architectural Forms als Grundlage fuer das Annotieren strukturierter Dokumente. Goethe-University Frankfurt/M Co-supervision. 1996. (Supervisor)
Joachim Birken: Entwicklung 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: 17 Mai 2023

Outreach

03 July 2023: RTL The Lisa Burke Show
June 2023 Round Table Discussion, organised by FEDAS - Fédération des acteurs du secteur social au Luxembourg asbl. COntact: Julia Maria Zimmermann, Responsable du centre de formation.
28 June 2023: Round Table : Chambre de Commerce. Contact: Alexandra Tosello, Senior Advisor - General Affairs&Partnerships
8 June 2023: Invitation by EIDE Differdange
23 May 2023: Invited TechTalk / Price WaterhouseCoopers (PwC): The One on Generative AI. Contact: Carla Guerreiro dos Santos and Armin Prljaca.
17 May 2023: invited talk at Centre Hospitalier Luxembourg. Host: Dr Martina Degiorgis. Slides:

final_17May2023.pptx.pdf 4,25 MB
16 May 2023: Meeting with Frank Heemskerk, Telenet, about DoctorMe - see http://www.doctor-me.eu/)
25 April 2023, 09h00 - 10h00: Angscht viru Kënschtlecher Intelligenz? Live Radio / Radio 100,7
21 April 2023, 11h00 - 12h00: Moderating a Book Launch by Dr Lorella Viola: 'The Humanities in the Digital: Beyond Critical Digital Humanities' More information is available here: https://link.springer.com/book/10.1007/978-3-031-16950-2
17 April 2023: Kënschtlech Intelligenz: Wat, wéi, wéini? Wissenschaft in Luxembourg by FNR science.lu: Michèle Weber, Jean-Paul Bertemes (FNR)
16 April 2023: 'Wie man KI-generierte Bilder erkennt' by Laura Bannier, Luxemburger Wort.
16 April 2023: ''Voici comment reconnaître une image créée par l'intelligence artificielle" by Laura Bannier, Virgule.lu
16 April 2023: RTL TV : PISA, de Wessensmagazin
29 March 2023. Interview by Laura Bannier, Luxemburger Wort : Midjourney: how can you recognise generated photos?
27 March 2023. AI & Arts & chatGPT. Interview by RTL. With Olivier Catani.
14 March 2023: Chercheurs à l'école. LAML Luxembourg. With Sophie Klecker, Ministry of the Economy. Backt to the roots ;)
28 February 2023: Interview with Heledd Pritchard, Luxembourg Times / International baccalaureate pupils will be able to use chatGPT for their essays.
16 February 2023: Interview with Uwe Hentschel, Luxemburger Wort, Economy: AI for the labor market.
15 February 2023; Interview with Olivier Catani, RTL (TV) Luxembourg in view of the PISA de Wëssensmagazin.
9 February 2023. Press article by science.lu. Michele Weber: chatGPT: Hype oder Revolution in der KI? Fragen an die Experten.
18 January 2023: Press article by Laura Bannier: Dans l'art, l'utilisation de l'IA est un avantage. Luxemburger Wort (as of 7 February 2023; article in French).
17 January 2023: Press Interview 'chatGPT' with Sarah Raparoli and Lex Kleren, Letzebuerger Journal: Die KI-Herausforderung (as of 27 January 2023, article in German).
20 December 2022: Press Interview 'ChatGPT - Fluch oder Segen für Schule und Arbeit?' by Sebastien Weisbrodt, Luxemburger Wort
AIFA 2022 - More information: see aifa.uni.lu
28 November 2022: JAIFA
24 November 2022: We had the honour and pleasure to welcome a small group of 15 people from WIDE - Women in Digital Empowerment (Digital Skills and Jobs Coalition) as guests at the AI&Art Pavilion
05 October 2022: visit of 60 members of Arcus, a non-profit association founded in Luxembourg that has been working with children, young people and families for more than 60 years in the social, educational, pedagogical and therapeutic fields.
16 + 18 September. Portes Ouvertes and Opening of the 'Petite Maison', University of Luxembourg.
5-7 September: ->Understanding minds - German Cognitive Society.
05 July 2022. Interview by Effi Tramountani, Master Student at University of Tübingen - 'Foundations of Machine Learning' research group ', Prof. Dr. Robert C. Williamson, about "Data, Data collection and maintenance and Data responsibility".
Remix Culture. Exhibtion, Prof. Manuela Naveau & Team, Kunstuniversität Linz, Austria, and Ars Electronica.
28 June 2022. Talk "Interpreting Analysis Results", First Luxembourg Workshop on Epistemology and Artificial Intelligence.
21 June 2022. Interview with students from École Sainte Sophie, Luxembourg: "Mensch und Maschine".
07 June 2022. Visit of Prof. Tim Landgraf, FU Berlin.
02 June 2022. AI&Arts Pavilion meets Industry. Welcome Speech and Host: visit of 40 members of the Business Club Belgium-Luxembourg (BCBL) and the Belgian Business Club Luxembourg (BBCL) as well as H.E. Stephan Müller, Ambassador of the Grand Duchy of Luxembourg in Belgium and H.E. Thomas Lambert, Ambassador of the Kingdom of Belgium in Luxembourg.
18 May 2022. Welcome Speech and Host. Exhibition 'Imaginary Landscapes' (Artist: Sergio Albiac), Arts and Deep Learning.
13 April 2022. AI & Art: Can A Robot Dance The Dying Swan? See report in Silicon Luxembourghere
15 March 2022 Event: Chercheurs à l’école. Lecture at LAM - Lycée des Arts et des Métiers. Invitation by the Fonds National de la Recherche (FNR).
03 March 2022 Event: Talk at Inauguration REMIX Esch2022 - University of Luxembourg projects, Pitch and Panel. Invited by Prof Stéphane Pallage, Rector of the University.
06 December. Speech at the Inauguration Ceremony and Kick-off Meeting of ZLAIRE - Zheijiang-Luxembourg Joint Research on AI, Robotics, and Reasoning. See slides 'AI & Arts Pavilion Esch 2022 Cultural Capital of Europe! Cultural Capital of Europe'

Inauguration-06December2021-small.pptx.pdf 4,77 MB
30 November 2021. Interview: Esch2022 – REMIX Festival – The AI & Art Pavillon
17 November 2021. Interview AI and our future Raphael Alegria Silva and Nicolas Moreau, Lycée Notre Dame Sainte-Sophie.
12 November 2021, Keynote talk: AI & Arts. Workshop, organised by BattleRoyal Berlin, rethink Berlin, Esch 2022, and University Luxembourg.
11. November 2021, Keynote talk: Future of Living with AI and IA. Invitation by BNVKI, FACt talks. BNAIC/Benelearn 2021, Luxembourg.
20 October 2021, Keynote talk: EUNIC - EU National Institutes for Culture (organised by Jurij Krpan, Pau Waelder) The Future of Living, Panel, Day 2 - 20 October 2021, Brussels. See Video or on YouTube. The speech is a statement and part of the International Symposium "The Future of Living", supported by EUNIC - EU National Institutes of Culture. The event was under the patronage of the Slovenian Presidency of the European Parliament.
29 September 2021, Keynote Talk: Getting Creative - AI and Arts. AIFA - Artificial Intelligence and the Future of Arts.
22 July 2021. Interview The future of living with Jurij Krpan and Pau Waelder. See the video on Youtube
14 June 2021, Interview Duerchbléck Zukuf, elo!? with Zentrum fir poletesch Bildung. see YouTube here
5 May 2021, Interview + Video shooting: - 887 - AI&ART Ecosystem - AI&ART Pavilion on the future of Art and Intelligence.
22 April 2021, Girls Day, organised by FU Berlin. Der Mensch und die schlauen Maschinen. 22 April 2021, 08h40 - 10h00. Lecture.
18 March 2021, Chercheurs à l'école. Lecture at LAM Lycée des Arts et des Métiers.
25 February 2021, Keynote talk: Ist die Künstliche Intelligenz für oder gegen die Menschheit? organised by Commission luxembourgeoise pour la coopération avec l'UNESCO. Bibliothèque national du Luxembourg with Live Streaming. Radio 100,7. See also the press release in Chronicle.lu
13 January 2021, Interview mat Daniel Weyler: Schule der Zukunft – Mensch oder Roboter, welche Lehrkraft darf es denn sein?Zentrum fir politesch Bildung (zpb.lu). Duerchbléck. (N. 8, page 30; see pdf document here (page 30)).
11 December 2020, Keynote Talk: The potential of Language Technology and AI. Meeting of the European Language Resource Consortium (ELRC) 2020., Luxembourg.
9 December 2020. Invited Talk. Rotary Melbourne, Australia. Evening Meeting. See the YouTube video here: Deep Learning for the Arts
23 October 2020. Interview and Video shooting - 887 - AI&ART Pavilion. Esch 2022.
25 September 2020, Keynote Talk: AI & Arts University Luxembourg. Kickoff meeting Esch 2022.
9 July 2020. Christoph Schommer was part of a radio potcast in RTL Today: Insightful video on DeepFakes technology.
12 June 2020. Christoph Schommer was part of a radio potcast in Radio 100,7 (in German): Kënne Roboteren an Zukunft Mënschen ersetzen?
11 June 2020, mentioned in Tageblatt: 7. Kunst, künstliche Intelligenz – und ganz viel Pathos: Uni stellt Projekt zu Esch2022 vor. .
8 May 2020: Interview with RTL: DeepFakes
3 April 2020: Interview with Radio 100,7: AI and Digital Health
28/29 March 2020: Press Article by C. Schommer for the Luxemburger Wort: "Eine Doktorarbeit zu beginnen ist (relativ) leicht", page 10.
10 March 2020: 2 Doktorarbeiten zwischen Geist und Informatik. UL Report.
19 February 2020. Interview with Boris Hänssler. Informationsdienst Wissenschaft e. V. - idw. Hintergrundwissen zur Funktionsweise biometrischer Verfahren. 19 February 2020.
30 January 2020, Invited Participation at TV/RTL : RTL Kloertext. Wie kontrolléiert meng Daten? moderated by Caroline Mart. See RTL Kloertext
20 January 2020: Interview and Press Article; Cheryl Cadamuro, Revue.lu, Zweischneidiges Schwert"
16 December 2019: Wéi si se geduecht: Positiv? Negativ? Neutral? RTL Kultur news
13 November 2019; Interview mit Christoph Schommer durch Schüler einer 1GSO-Abschlussklasse des Lycée Nic-Biever Dudelange. Schülerwettbewerb der Bundeszentrale für politische Bildung in Zusammenarbeit mit dem Zentrum fir politesch Bildung in Luxemburg.
19 October 2019, Press Article. C. Schommer: KI für die Medizin. Luxemburger Wort.
25 September 2019 Keynote Talk: Life Science, PhD Days 2019, University Luxembourg. AI for Life Sciences.
20 May 2019. Interview with Audrey Somnard, Letzebuerger Journal: Ressources humaines & technologies avec focus sur le digital dans le secteur du recrutement.
25 April 2019, in Press Article by Birgit Pfaus-Ravida: Luxemburgish ganz Digital: "Schnëssen" und "Strips": So funktioniert moderne Sprachforschung an der Universität Luxemburg.
22/23 December 2018: Press Article/Luxemburger Wort by C. Schommer: Ein europäisches CERN für die Künstliche Intelligenz.
13 September 2018, Radio 100,7. Interview with Pit Walté: Künstliche Intelligenz
31 August 2018, Interview and Press Article with/by Pierre Leyers, Luxemburger Wort: Maschinen nach menschlichem Vorbild.
23 August 2018, Interview with Jessica Bauldry, Delano. Chatbot Technology. Maison Moderne.
17 May 2018, Panel. 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)
16 May 2018. Invited Talk/Evening Meeting. Luxemburgischer Ethikrat: Was ist Künstliche Intelligenz? Host: Jean-Claude Milmeister, Christel Baltes-Löhr.
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. See YouTube video here
28 January 2016: Sprachliche Informationsverarbeitung: Computerlinguistik und Digital Humanities. University of Cologne (invited by Prof Dr Juergen Rolshoven).
15 June 2006, Interview and Press Article with Florence Reinson, Paperjam: Interview: A la pointe de la science de l'information

Industry

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.

C. M. Andersen, S. Bayerl, G. Bent, J. Lee, C. Schommer: Mining your own Business. IBM Redbook Series, Vol. 1 (Retail). - ISBN 0738422940. IBM Press. 2001.
C. M. Andersen, S. Bayerl, G. Bent, J. Lee, C. Schommer: Mining your own Business. IBM Redbook Series. Vol. 2 (Finance) - ISBN 0738422959. IBM Press. 2001.
C. M. Andersen, S. Bayerl, G. Bent, J. Lee, C. Schommer: Mining your own Business. IBM Redbook Series. Vol. 3 - (Telecommunications). ISBN 0738422967. IBM Press. 2001.
C. M. Andersen, S. Bayerl, G. Bent, J. Lee, C. Schommer: Mining your own Business. IBM Redbook Series. Vol. 4 (Healthcare) - ISBN 0738423025. IBM Press. 2001.

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: 30 Mai 2023