Welcome to the Data Management and Analytics Group!

The Data Management and Analytics Group, which is headed by Prof. Dr. Christian Beecks, is part of the Computer Science Department at the Faculty of Mathematics and Computer Science, University of Münster. The group's research and teaching activities are focusing on methods and techniques for efficient and scalable data management and analytics.

  • More information about the group can be found here.
  • More information about our research activities can be found here.
  • Our teaching activities are described here.

For any further questions, please contact us.

Christian Beecks
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© DMA

Paper accepted at OzCHI 2020

Our paper "MetaMorph: AI Assistance to Transform Lo-Fi Sketches to Higher Fidelities" from Vinoth Pandian Sermuga Pandian, Sarah Suleri, Christian Beecks, and Matthias Jarke has been accepted at the Australian Conference on Human-Computer Interaction (OzCHI 2020).

Congratulations to all authors.

Christian Beecks
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Open Positions

We are looking for two PhD candidates in the research areas of Machine Learning and Artificial Intelligence for Data Science. If you have a strong background in Machine Learning, Data Science or any related research area and are interested in working with us, please contact Prof. Dr. Christian Beecks for further information.

Christian Beecks
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New Research Project

Our project "GAIA - Gaussian Processes for Automatic and Interpretable Anomaly Detection" has been recommended for funding by the Ministry for Culture and Science of North Rhine-Westphalia as part of the Research Training Group "Trustworthy Al for Seamless Problem Solving: Next Generation Intelligence Joins Robust Data Analysis (Data­-NlnJA)". 

The official press release can be found here.

Christian Beecks
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© DMA

Paper accepted at ICPR 2020

Our paper "3CS Algorithm for Efficient Gaussian Process Model Retrieval" from Fabian Berns, Kjeld Schmidt, Ingolf Bracht, and Christian Beecks has been accepted at the International Conference on Pattern Recognition (ICPR 2020).

Congratulations to all authors.

Christian Beecks
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© DMA

EU Project Granted

Our project "knowlEdge: Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]" (H2020, ICT-38-2020: Artificial intelligence for manufacturing, Research and Innovation Actions) has been granted by the European Commission.

Congratulations to all involved.



Christian Beecks
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© DMA

Paper accepted at Journal Chem

Our paper "A Structure-Based Platform for Predicting Chemical Reactivity" from Frederik Sandfort, Felix Strieth-Kalthoff, Marius Kühnemund, Christian Beecks, and Frank Glorius has been accepted at the Elsevier Journal Chem.

Congratulations to all authors.

Christian Beecks
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Paper accepted at ACM ICMR WORKSHOP 2019

Our paper "lifeXplore at the Lifelog Search Challenge 2019" from Andreas Leibetseder, Bernd Muenzer, Manfred Jürgen Primus, Sabrina Kletz, Klaus Schöffmann, Fabian Berns, and Christian Beecks has been accepted at the Lifelog Search Challenge (LSC @ ICMR 2019).

Congratulations to all authors.

Christian Beecks
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Paper accepted at ACM ICMR 2019

Our paper "V3C1 Dataset: An Evaluation of Content Characteristics" from Fabian Berns, Luca Rossetto, Klaus Schöffmann, Christian Beecks, and George M. Awad has been accepted at the ACM International Conference on Multimedia Retrieval (ICMR 2019).

Congratulations to all authors.

Christian Beecks
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Paper accepted at IEEE PowerTech 2019

Our paper "Incremental Deep-Learning for Continuous Load Prediction in Energy Management Systems" from Gustavo Aragón, Harsh Puri, Alexander Graß, Sisay Chala, and Christian Beecks has been accepted at the IEEE PES PowerTech Conference 2019.

Congratulations to all authors.

Christian Beecks
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Paper accepted at IEEE Big Data 2018

Our paper "Optimal k-Nearest-Neighbor Query Processing via Multiple Lower Bound Approximations" from Christian Beecks and Max Berrendorf has been accepted at the IEEE International Conference on Big Data (IEEE Big Data 2018).

Congratulations to all authors.

Christian Beecks
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Best Poster Award

Our poster "Towards digitized gesture analytics. Gaining new insights into gesture and gesture space use through motion-capture technology" from Irene Mittelberg, Bela Brenger, and Christian Beecks has been awarded as the best poster at the Workshop on "Gesture & Technology 2018".

Congratulations to all authors.

Christian Beecks
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Two papers accepted at ML4CPS 2018

Our papers "Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project" from Christian Beecks, Shreekantha Devasya, and Ruben Schlutter and "Unsupervised Anomaly Detection in Production Lines" from Alexander Grass, Christian Beecks, and Jose Angel Carvajal Soto have been accepted at the 4th Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS 2018).

Congratulations to all authors.