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
Data streams: Investigating data structures for multivariate asynchronous time series prediction problems.Vox, C., Broneske, D., Shaikat, I., & Saake, G. (2023).Data streams: Investigating data structures for multivariate asynchronous time series prediction problems. In M. de Marsico, G. Sanniti di Baja, & A. Fred (Hrsg.), Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2023) (S. 686-696). Lissabon, Portugal: SCITEPRESS. https://doi.org/10.5220/0011737300003411 |
Semantic relatedness: A strategy for plagiarism detection in SQL assignments.Obionwu, C. V., Kumar, R., Shantharam, S., Broneske, D., & Saake, G. (2023).Semantic relatedness: A strategy for plagiarism detection in SQL assignments. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 6th World Conference on Computing and Communication Technologies (WCCCT) (S. 158-165). Chengdu, China: IEEE. https://doi.org/10.1109/WCCCT56755.2023.10052438 |
Towards a strategy for developing a project partner recommendation system for University course projects.Obionwu, C. V., Singh Walia, D., Tiwari, T., Ghosh, T., Broneske, D., & Saake, G. (2023).Towards a strategy for developing a project partner recommendation system for University course projects. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 6th World Conference on Computing and Communication Technologies (WCCCT) (S. 144-151). Chengdu, China: IEEE. https://doi.org/10.1109/WCCCT56755.2023.10052282 |
Second workshop on novel data management ideas on heterogeneous (co-)processors (NoDMC).Broneske, D., & Habich, D. (2023).Second workshop on novel data management ideas on heterogeneous (co-)processors (NoDMC). In B. König-Ries et al. (Hrsg.), Lecture Notes in Informatics (LNI) - Proceedings, Volume P-331. Bonn: Gesellschaft für Informatik e.V.. https://doi.org/10.18420/BTW2023-40 |
Microblogs-A means for simulating informal learning beyond classrooms.Obionwu, V., Broneske, D., & Saake, G. (2023).Microblogs-A means for simulating informal learning beyond classrooms. In Association for Computing Machinery ACM (Hrsg.), Proceedings of the 14th International Conference on Education Technology and Computers (ICETC '22) (S. 219-225). New York, USA: ACM. https://doi.org/10.1145/3572549.3572585 |
Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models.Safikhani, P., Avetisyan, H., Föste-Eggers, D., & Broneske, D. (2023).Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models. Discover Artificial Intelligence 3, 2023(6). https://doi.org/10.1007/s44163-023-00050-y |
An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements.Obionwu, V., Harnisch, C., Kalu, K., Broneske, D., & Saake, G. (2023).An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2022 International Conference on Engineering and Emerging Technologies (ICEET) (S. 1-6). New York, United States: IEEE. https://doi.org/10.1109/ICEET56468.2022.10007096 |
Exploiting views for collaborative research data management of structured data.Broneske, D., Wolff, I., Köppen, V., & Schäler, M. (2022).Exploiting views for collaborative research data management of structured data. In Y.-H. Tseng, M. Katsurai, & H. N. Nguyen (Hrsg.), ICADL 2022: From born-physical to born-virtual: Augmenting intelligence in digital libraries. (S. 360-376). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-21756-2_28 |
UCRP-miner: Mining patterns that matter.Darrab, S., Broneske, D., & Saake, G. (2022).UCRP-miner: Mining patterns that matter. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), Proceedings of the 5th International Conference on Data Science and Information Technology (DSIT) (S. 1-7). New York, United States: IEEE. https://doi.org/10.1109/DSIT55514.2022.9943880 |
A collaborative learning environment using blogs in a learning management system.Obionwu, V., Broneske, D., & Saake, G. (2022).A collaborative learning environment using blogs in a learning management system. In T. Zlateva & R. Goleva (Hrsg.), Computer Science and Education in Computer Science (CSECS 2022). Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer. https://doi.org/10.1007/978-3-031-17292-2_18 |
Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems.Obionwu, V., Broneske, D., & Saake, G. (2022).Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems. In ICICM (Hrsg.), Proceedings of the 12th International Conference on Information Communication and Management (ICICM 2022) (S. 50-60). New York, NY, United States: Association for Computing Machinery ACM. https://doi.org/10.1145/3551690.3551699 |
Slide-recommendation system: A strategy for integrating instructional feedback into online exercise sessions.Obionwu, V., Toulouse, V., Broneske, D., & Saake, G. (2022).Slide-recommendation system: A strategy for integrating instructional feedback into online exercise sessions. In A. Cuzzocrea, O. Gusikhin, W. van der Aalst, & S. Hammoudi (Hrsg.), Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA (S. 541-548). Lissabon, Portugal: SciTePress. https://doi.org/10.5220/0011351000003269 |
Animation of a forgotten invention - the soda locomotive.Erhardt, A.-L., Vorhauer-Huget, N., Rzepus, H. J., & Broneske, D. (2022).Animation of a forgotten invention - the soda locomotive. In L. Gómez Chova, A. López Martínez, & J. Lees (Hrsg.), EDULEARN22 Proceedings, 14th International Conference on Education and New Learning Technologies (S. 2358-2364). Valencia, Spanien: IATED Academy. https://doi.org/10.21125/edulearn.2022.0612 |
Integer time series compression for holistic data analytics in the context of vehicle sensor data.Vox, C., Broneske, D., Piewek, J., Sass, A. U., & Saake, G. (2022).Integer time series compression for holistic data analytics in the context of vehicle sensor data. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2022 International Conference on Connected Vehicle and Expo (ICCVE) Proceedings (S. 1-7). New York: IEEE. https://doi.org/10.1109/ICCVE52871.2022.9743019 |
Towards a learning analytics metadata model.Wolff, I., Broneske, D., & Köppen, V. (2022).Towards a learning analytics metadata model. In SoLAR Society for Learning Analytics Research (Hrsg.), Companion Proceedings 12th International Conference on Learning Analytics & Knowledge. New York: Association for Computing Machinery. |
Presentations
List of presentations & conferences
Integrating decision tree learning on the graph database Neo4j to analyze clinical data.Mondal, R., Dung Do, M., Uddin Ahmed, N., Broneske, D., Saake, G., & Heyer, R. (2021, November).Integrating decision tree learning on the graph database Neo4j to analyze clinical data. Vortrag auf der Konferenz International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021). |
Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features.Avetisyan, H., & Broneske, D. (2021, November).Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features. Vortrag auf der Konferenz The International Conference on Natural Language and Speech Processing (ICNLSP 2021), University of Trento, Italien.
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FAIR research data management for learning analytics.Wolff, I., Broneske, D., & Köppen, V. (2021, September).FAIR research data management for learning analytics. Vortrag auf der Tagung 19. Fachtagung Bildungstechnologien der GI Fachgruppe Bildungstechnologien (DELFI), FH Dortmund und Fernuniversität Hagen, Dortmund, Deutschland. |
Design considerations towards AI-driven co-processor accelerated database management.Le, A. T., Campero Durand, G., Gurumurthy, B., Broneske, D., Steup, C., & Saake, G. (2021, September).Design considerations towards AI-driven co-processor accelerated database management. Vortrag auf der Konferenz Lernen. Wissen. Daten. Analysen. - Learning. Knowledge. Data. Analytics. (LWDA 2021), MCML Munich Center for Machine Learning, München, Deutschland. |
3D animation of single stage batch distillation for distance learning.Vorhauer-Huget, N., Mathew, P., Gunasekaran, H., Dung Do, M., Thalakkotoor Jojo, S., ... & Broneske, D. (2021, Juli).3D animation of single stage batch distillation for distance learning. Vortrag auf der Konferenz International Conference on Education and New Learning Technologies, Valencia, Spanien. |
An investigation of atomic synchronization for sort-based group-by aggregation on GPUs.Gurumurthy, B., Broneske, D., Schäler, M., Pionteck, T., & Saake, G. (2021, April).An investigation of atomic synchronization for sort-based group-by aggregation on GPUs. Vortrag auf dem Workshop Joint International Workshop on Big Data Management on Emerging Hardware and Data Management on Virtualized Active Systems, Chania (Kreta), Griechenland. |
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, April).Analysis of GPU-Libraries for rapid prototyping database operations: A look into library support for database operations. Vortrag auf dem Workshop Joint International Workshop on Big Data Management on Emerging Hardware and Data Management on Virtualized Active Systems, Chania (Kreta), Griechenland. |
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
