Dr. David Broneske studierte Informatik im Bachelor und Master an der Otto-von-Guericke Universität Magdeburg, wo er 2019 promovierte und darauf seine Habilitation begann. Von 2019 bis 2020 übernahm er die Vertretung des Lehrstuhls Datenbank und Informationssysteme an der Hochschule Anhalt in Köthen. Er hat im März 2021 die kommissarische Leitung der Abteilung 4 "Infrastrukturen und Methoden" des Deutschen Zentrums für Hochschul- und Wissenschaftsforschung (DZHW) übernommen.
Dr. David Broneske
Abteilung Infrastruktur und Methoden
Kommissarische Abteilungsleitung
- 0511 450670-454
- 0511 450670-960
- Google Scholar
- Orcid
Wissenschaftliche Forschungsgebiete
Forschungsdatenmanagement für Learning Analytics Daten, Hauptspeicherdatenbanken auf moderner Hardware, Interaktive Datenexploration und Visualisierung, Künstliche Intelligenz für Datenbereinigung und Datenanalyse
Projekte
Liste der Projekte
Publikationen
Liste der Publikationen
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. |
Vorträge & Tagungen
Liste der Vorträge & Tagungen
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. |
CV
Seit 03/2021
Kommissarischer Leiter der Abteilung 4 "Infrastruktur und Methoden" am Deutschen Zentrum für Hochschul- und Wissenschaftsforschung (DZHW)
04/2020 - 02/2021
Post-Doc an der Otto-von-Guericke-Universität Magdeburg - Mitarbeiter in Lehre und Forschung
10/2019 - 03/2020
Vertretungsprofessur an der Hochschule Anhalt - Lehrstuhl Datenbank und Informationssysteme
06/2019 - 09/2019
Post-Doc an der Otto-von-Guericke-Universität Magdeburg - Mitarbeiter in Lehre und Forschung
08/2013 - 05/2019
Doktorand an der Otto-von-Guericke-Universität Magdeburg - Mitarbeiter in Lehre und Forschung
2008 - 2013
Bachelorstudium und Masterstudium "Informatik", Otto-von-Guericke-Universität Magdeburg
Lehre
- SoSe 2016, 2020 & 2021 Advanced Topics in Databases (OVGU; ca. 50 Teilnehmer) - Vorlesung
- WiSe 2020 Data Warehouse Technologies (OVGU; ca. 80 Teilnehmer) - Vorlesung & Übung
- WiSe 2020 Datenbanken I (OVGU; ca. 270 Teilnehmer) - Vorlesung & Übung
- SoSe 2013 & 2020 Datenbanken Implementierungstechniken (OVGU; ca. 40 Teilnehmer) - Übung
- WiSe 2019 Moderne Datenbankkonzepte (HS-Anhalt; ca. 12 Teilnehmer) - Vorlesung & Übung
- WiSe 2019 Datenbanksysteme (HS-Anhalt; ca. 40 Teilnehmer ) - Vorlesung & Übung
- SoSe 2015-2019 Database Concepts (OVGU; ca. 120 Teilnehmer) - Übung
- WiSe 2012-2018 Datenbanken I (OVGU, ca. 270 Teilnehmer) - Übung
- SoSe 2012-2014 Datenmanagement (OVGU; ca. 100 Teilnehmer) - Übung
Auszeichnungen
- 2020 - Distinguished Reviewer at Information Systems, Elsevier
- 2017 - Forschungspreis der Fakultät für Informatik der Otto-von-Guericke-Universität Magdeburg
