Prof. Dr. Martin Theobald
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| Faculty or Centre | Faculty of Science, Technology and Medicine | ||||
| Department | Department of Computer Science | ||||
| Postal Address |
Université du Luxembourg Maison du Nombre 6, Avenue de la Fonte L-4364 Esch-sur-Alzette |
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| Campus Office | MNO, E03 0335-090 | ||||
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| Telephone | (+352) 46 66 44 5789 | ||||
Prof. Dr.-Ing. Martin Theobald has been appointed as a Professor of Computer Science with a focus on "Big Data" by the University of Luxembourg, at the Faculty of Science, Technology and Medicine (FSTM), in 2017. He previously held positions as a Professor and Co-Director of the Institute for Databases and Information Systems (DBIS) at the University of Ulm, and as a Professor in the Advanced Database Research and Modeling (ADReM) group at the University of Antwerp. He obtained a doctoral degree from the Max Planck Institute for Informatics in Saarbrücken in 2006 and subsequently spent two years as a Postdoctoral Researcher at the Stanford University "Infolab". Between 2008-2012, Martin led the research group for "Ranking and Uncertain Data Management" at the Max Planck Institute for Informatics.
Martin currently is head of the "Big Data" research group at the University of Luxembourg. He has served as PC member, reviewer and organizer for more than 100 international conferences, workshops and journals, including SIGMOD, SIGKDD, SIGIR, VLDB, ICDE, CIKM, WSDM, TKDE, TODS, and many others. He has been an Area Editor for Elsevier's "Information Systems" between 2013-2018, and for PVLDB between 2020-2021.
Awards & Honors
• Teaching Award by the University of Luxembourg, 2020
• Google Focused Research Award (together with R. Gemulla and G. Weikum), 2010
• ACM SIGMOD "Jim Gray" Doctoral Dissertation Award (Honorable Mention), 2007
• GI-DBIS Dissertation Award, 2006
• Otto Hahn Medal of the Max Planck Society, 2006
Current Courses
• Bachelor
- Information Management I-III (BiCS, 3rd-5th semester)
• Master
- Cloud Computing & NoSQL Databases (MaDS, 1st semester)
- Big Data Analytics (MiCS & MaDS, 2nd semester)
External Profiles
• DBLP
Last updated on: Tuesday, 05 January 2021
2023
Efficient Hessian-based DNN Optimization via Chain-Rule Approximation; ;
in Proceedings of the 6th Joint International Conference on Data Science Management of Data (10th ACM IKDD CODS and 28th COMAD) (2023)
2022
Convergence time analysis of Asynchronous Distributed Artificial Neural Networks; ;
in 5th Joint International Conference on Data Science Management of Data (9th ACM IKDD CODS and 27th COMAD) (2022)
Robust and Provable Guarantees for Sparse Random Embeddings; ;
in Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II. (2022, May 18)
Targeting a light-weight and multi-channel approach for distributed stream processing; ; ; ;
in Journal of Parallel and Distributed Computing (2022), 167
2021
Revisiting Weight Initialization of Deep Neural Networks; ;
in Proceedings of Machine Learning Research (2021, November 17)
2020
Asynchronous Stream Data Processing using a Light-Weight and High-Performance Dataflow Engine;
Presentation (2020, December 11)
Effective Stream Data Processing using Asynchronous Iterative Routing Protocol;
Poster (2020, December 10)
Benchmarking Synchronous and Asynchronous Stream Processing Systems;
in Ellampallil Venugopal, Vinu; Theobald, Martin (Eds.) Benchmarking Synchronous and Asynchronous Stream Processing Systems (2020, January 02)
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing; ; ;
in AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing (2020, September 01)
27th International Symposium on Temporal Representation and Reasoning, TIME 2020, September 23-25, 2020, Bozen-Bolzano, Italy; ;
Book published by Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)
Guided Inductive Logic Programming: Cleaning Knowledge Bases with Iterative User Feedback; ; ; ;
in Guided Inductive Logic Programming: Cleaning Knowledge Bases with Iterative User Feedback (2020, March 12)
2019
Scalable Uncertainty Management - 13th International Conference (SUM 2019), Compiegne, France, December 16-18, 2019, Proceedings; ;
Book published by Springer (2019)
Indexing for Graph Query Evaluation;
in Sakr, Sharif; Zomaya, Albert Y. (Eds.) Encyclopedia of Big Data Technologies (2019)
Outer and Anti Joins in Temporal-Probabilistic Databases; ;
in 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019 (2019, October 16)
Lineage-Aware Temporal Windows: Supporting Set Operations in Temporal-Probabilistic Databases; ;
in CoRR (2019), abs/1910.00474
Generalized Lineage-Aware Temporal Windows: Supporting Outer and Anti Joins in Temporal-Probabilistic Databases; ;
in CoRR (2019), abs/1902.04379
From Big Data to Big Knowledge - Large-Scale Information Extraction Based on Statistical Methods (Invited Talk)Scientific Conference (2019, May 14)
Anytime Approximation in Probabilistic Databases via Scaled Dissociations; ; ; ;
in Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019 (2019, June 22)
2018
Supporting Set Operations in Temporal-Probabilistic Databases; ;
in Proceedings of the 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018 (2018, April 16)
Interactive feature selection for efficient customer recognition in contact centers: Dealing with common names.; ; ; ;
in Expert Systems with Applications (2018), 113
A General Framework for Anytime Approximation in Probabilistic Databases; ; ;
in CoRR (2018), abs/1806.10078
2017
GCAI 2017: 3rd Global Conference on Artificial Intelligence, Miami, FL, USA, 18-22 October 2017; ;
Book published by EPiC Series in Computing, EasyChair (2017)
Concept Recognition in European and National Law; ; ; ; ; ;
in proc. of The 30th international conference on Legal Knowledge and Information Systems (JURIX 2017) (2017)
Query-Driven On-The-Fly Knowledge Base Construction; ; ; ;
in Proceedings of the VLDB Endowment (2017), 11(1), 66--79
J-REED: Joint Relation Extraction and Entity Disambiguation; ;
in Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 (2017)
2016
Distributed Set Reachability;
in Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 (2016)
Distributed Processing of Generalized Graph-Pattern Queries in SPARQL 1.1;
E-print/Working paper (2016)
Summary Generation for Temporal Extractions; ; ; ;
in Database and Expert Systems Applications - 27th International Conference (DEXA 2016) (2016)
2014
Querying and Learning in Probabilistic Databases; ;
in Reasoning Web. Reasoning on the Web in the Big Data Era - 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings (2014)
Using Graph Summarization for Join-Ahead Pruning in a Distributed RDF Engine; ; ;
in Semantic Web Information Management on Semantic Web Information Management (2014)
TriAD: a distributed shared-nothing RDF engine based on asynchronous message passing; ; ;
in International Conference on Management of Data (SIGMOD 2014) (2014)
