Dr. David Broneske did his Bachelor and Master in Computer Science at the Otto-von-Guericke University Magdeburg, where he received his Ph.D. in 2019 and afterward started his Habilitation. From 2019 to 2020, he was the substitutional head of the chair of Database and Informationssystems at Hochschule Anhalt in Köthen. Since March 2021, he is the acting head of Department 4 "Infrastructures and Methods" of the German Centre for Higher Education Research and Science Studies (DZHW).
Dr. David Broneske
Research Area Research Infrastructure and Methods
Acting Head of Department
- +49 511 450670-454
- +49 511 450670-960
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Academic research fields
Research Data Management for Learning Analytics Data, Main-Memory Database Systems on Modern Hardware, Interactive Data Exploration and Visualization, Artificial Intelligence for Data Cleaning and Analysis
Projects
List of projects
Publications
List of publications
A first metadata schema for learning analytics research data management.Wolff, I., Broneske, D., & Köppen, V. (2021).A first metadata schema for learning analytics research data management. O-Bib. Das Offene Bibliotheksjournal / Herausgeber VDB, 8(4), 1-20. https://doi.org/10.5282/o-bib/5735 |
Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features.Avetisyan, H., & Broneske, D. (2021).Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features. In Association for Computational Linguistics (Hrsg.), Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021) (S. 95-107). Trento, Italy: Association for Computational Linguistics. |
In-depth analysis of OLAP query performance on heterogeneous hardware.Broneske, D., Drewes, A., Gurumurthy, B., Hajjar, I., Piontek, T., & Saake, G. (2021).In-depth analysis of OLAP query performance on heterogeneous hardware. Datenbank-Spektrum, 21, 133-143. https://doi.org/10.1007/s13222-021-00384-w |
3D animation of single stage batch distillation for distance learning.Vorhauer, N., Mathew, P., Gunasekaran, H., Do, M., Thalakkotoor, S., ... & Broneske, D. (2021).3D animation of single stage batch distillation for distance learning. In IATED Academy (Hrsg.), EDULEARN21 Proceedings (S. 476-483). Valencia, Spain: IATED Academy. https://doi.org/10.21125/edulearn.2021.0146 |
An investigation of atomic synchronization for sort-based group-by aggregation on GPUs.Gurumurthy, B., Broneske, D., Schäler, M., Pionteck, T., & Saake, G. (2021).An investigation of atomic synchronization for sort-based group-by aggregation on GPUs. In IEEE (Hrsg.), IEEE 37th International Conference on Data Engineering Workshops (ICDEW) (S. 48-53). Chania, Greece: IEEE. https://doi.org/10.1109/ICDEW53142.2021.00016 |
Analysis of GPU-Libraries for rapid prototyping database operations : A look into library support for database operations.Subramanian, H. K. H., Gurumurthy, B., Campero Durand, G., Broneske, D., & Saake, G. (2021).Analysis of GPU-Libraries for rapid prototyping database operations : A look into library support for database operations. In IEEE (Hrsg.), IEEE 37th International Conference on Data Engineering Workshops (ICDEW) (S. 36-41). Chania, Greece: IEEE. https://doi.org/10.1109/ICDEW53142.2021.00014 |
Towards multi-purpose main-memory storage structures: Exploiting sub-space distance equalities in totally ordered data sets for exact knn queries.Schäler, M., Tex, C., Köppen, V., Broneske, D., & Saake, G. (2021).Towards multi-purpose main-memory storage structures: Exploiting sub-space distance equalities in totally ordered data sets for exact knn queries. Information Systems, 2021 (online first). https://doi.org/10.1016/j.is.2021.101791 |
Modern applications and challenges for rare itemset mining.Darrab, S., Broneske, D., & Saake, G. (2021).Modern applications and challenges for rare itemset mining. International Journal of Machine Learning and Computing, 2021(11), 208-218. https://doi.org/10.18178/ijmlc.2021.11.3.1037 |
Selective caching: A persistent memory approach for multi-dimensional index structures.Jibril, M. A., Götze, P., Broneske, D., & Sattler, K.-U. (2021).Selective caching: A persistent memory approach for multi-dimensional index structures [Sonderheft]. Distributed and Parallel Databases (DAPD), 2021(1/21)(Special Issue on Self-Managing and Hardware-Optimized Database Systems 2020), 1-20. https://doi.org/10.1007/s10619-021-07327-0 |
SQLValidator – An online student playground to learn SQL.Obionwu, V., Broneske, D., Hawlitschek, A., Köppen, V., & Saake, G. (2021).SQLValidator – An online student playground to learn SQL. Datenbank-Spektrum, 2021 (online first). https://doi.org/10.1007/s13222-021-00372-0 |
An investigation of alternatives to transform protein sequence databases to a columnar index schema.Zoun, R., Schallert, K., Broneske, D., Trifonova, I., Chen, X., ... & Saake, G. (2021).An investigation of alternatives to transform protein sequence databases to a columnar index schema [Sonderheft]. Algorithms , 2021(14(2))(Biological Knowledge Discovery from Big Data). https://doi.org/10.3390/a14020059 |
Presentations
List of presentations & conferences
Curriculum Vitae
Since 03/2021
Acting Head of Department 4 "Infrastructures and Methods" of the German Centre for Higher Education Research and Science Studies (DZHW)
04/2020 - 02/2021
Post-Doc at Otto-von-Guericke University Magdeburg
10/2019 - 03/2020
Substitutional Professor at Hochschule Anhalt - Chair of Database and Information Systems
06/2019 - 09/2019
Post-Doc at Otto-von-Guericke University Magdeburg
08/2013 - 05/2019
PhD Student at Otto-von-Guericke University Magdeburg
2008 - 2013
Bachelor and Master Studies in "Computer Science", Otto-von-Guericke University Magdeburg
