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Completed PhD Dissertations (Prof. Markl, Primary Advisor)

2019
Henning Agt-Rickauer
Supporting Domain Modeling with Automated Knowledge Acquisition and Modeling Recommendations [1]
Technische Universität Berlin, 04. November 2019


Andreas Kunft
Optimizing End-to-End Machine Learning Pipelines for Model Training [2]
Technische Universität Berlin, 16. August 2019

Jonas Traub
Demand-based Data Stream Gathering, Processing, and Transmission [3]
Technische Universität Berlin, 22. März 2019

2018
Max Heimel
Data Processing on Heterogeneous Hardware [4]
Technische Universität Berlin, 08. January 2018

Alexander Alexandrov
Representations and optimizations for embedded parallel dataflow languages [5]
Technische Universität Berlin, 31.Oktober 2018

Christoph Boden
Benchmarking dataflow systems for scalable machine learning [6]
Technische Universität Berlin, 21. September 2018

2017
Moritz Schubotz
Augmenting Mathematical Formulae for More Effective Querying and Efficient Presentation [7]
Technische Universität Berlin, 31. March 2017

Uwe Jugel
Visualization-Driven Data Aggregation [8]
Technische Universität Berlin, 13. April 2017
Sebastian Krause
Knowledge-Intensive, High-Performance Relation Extraction [9]
Technische Universität Berlin, 27. September 2017
2016
Alan Akbik
Exploratory Relation Extraction in Large Multilingual Data [10]
Technische Universität Berlin, 13. April 2016

2015
Sebastian Schelter
Scaling Data Mining in Massively Parallel Dataflow Systems [11]
Technische Universität Berlin, 13. November 2015

Fabian Hüske
Specification and Optimization of Analytical Data Flows [12]
Technische Universität Berlin, 14. December 2015

2014
Stephan Ewen
Programming Abstractions, Compilation, and Execution Techniques for Massively Parallel Data Analysis [13]
Technische Universität Berlin, 22. October 2014

2012
Katrin Eisenreich
Database Support for Uncertain Data Analysis and Correlation Handling in Scenario Planning [14]
Technische Universität Berlin, 22. October 2012

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