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
Enhancing AutoNLP with fine-tuned BERT models: An evaluation of text representation methods for AutoPyTorch.Safikhani, P., & Broneske, D. (2023).Enhancing AutoNLP with fine-tuned BERT models: An evaluation of text representation methods for AutoPyTorch. In D. C. Wyld & D. Nagamalai (Hrsg.), Computer Science & Information Technology (CS & IT) (S. 23-38). Chennai, Tamil Nadu, India: AIRCC Publishing Corporation. |
What happens when two multi-query optimization paradigms combine?Gurumurthy, B., Bidarkar, V. R., Broneske, D., Pionteck, T., & Saake, G. (2023).What happens when two multi-query optimization paradigms combine? In A. Abelló, P. Vassiliadis, O. Romero, & R. Wrembel (Hrsg.), Advances in Databases and Information Systems (ADBIS 2023). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-42914-9_6 |
Investigating lakehouse-backbones for vehicle sensor data.Vox, C., Broneske, D., Piewek, J., Feigel, J., & Saake, G. (2023).Investigating lakehouse-backbones for vehicle sensor data. In C. Strauss, T. Amagasa, G. Kotsis, A. M. Tjoa, & I. Khalil (Hrsg.), Database and Expert Systems Applications (DEXA 2023). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-39847-6_17 |
Automatic instructional feedback, and a lecture hub system: A strategy towards nurturing the acquisition of a structured engagement behavior.Obionwu, V., Toulouse, V., Broneske, D., & Saake, G. (2023).Automatic instructional feedback, and a lecture hub system: A strategy towards nurturing the acquisition of a structured engagement behavior. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, & C. Quix (Hrsg.), Data Management Technologies and Applications. DATA DATA 2022 2021. Communications in Computer and Information Science. Cham: Springer. https://doi.org/10.1007/978-3-031-37890-4_11 |
AUTARKYO: Interactive app for the planning and evaluation of energy self-sufficient houses.Erhardt, A.-L., Rzepus, H. J., Griel, C., Broneske, D., & Vorhauer-Huget, N. (2023).AUTARKYO: Interactive app for the planning and evaluation of energy self-sufficient houses. In IATED (Hrsg.), EDULEARN23 Proceedings of the 15th International Conference on Education and New Learning Technologies, Palma de Mallorca, Spain. 3-5 July, 2023 (S. 1458-1467). Valencia, Spain: IATED Academy. https://doi.org/10.21125/edulearn.2023.0453 |
A strategy for structuring teams collaboration in university course projects.Obionwu, C. V., Karl, M., Broneske, D., Hawlitschek, A., Blockhaus, P., & Saake, G. (2023).A strategy for structuring teams collaboration in university course projects. In S. Hammoudi, F. Wijnhoven, & M. van Sinderen (Hrsg.), Proceedings of the 20th International Conference on Smart Business Technologies ICSBT (S. 32-42). Rom, Italien: SciTePress. https://doi.org/10.5220/0012075800003552 |
The importance of graph databases and graph learning for clinical applications.Walke, D., Micheel, D., Schallert, K., Muth, T., Broneske, D., Saake, G., & Heyer, R. (2023).The importance of graph databases and graph learning for clinical applications. Database: The Journal of Biological Databases and Curation 2023. https://doi.org/10.1093/database/baad045 (Abgerufen am: 11.07.2023) (online first). https://doi.org/10.1093/database/baad045 |
Towards a future of fully self-optimizing query engines.Blockhaus, P., Campero Durand, G., Broneske, D., & Saake, G. (2023).Towards a future of fully self-optimizing query engines. In CEUR Workshop Proceedings (Hrsg.), Proceedings of the 34th GI-Workshop on Fundamentals of Database Systems (Grundlagen von Datenbanken GvDB 2023). Aachen: RWTH Aachen, CEUR-WS Team. |
Out-of-the-box library support for DBMS operations on GPUs.Subramanian, H. K. H., Gurumurthy, B., Campero Durand, G., Broneske, D., & Saake, G. (2023).Out-of-the-box library support for DBMS operations on GPUs. Distributed and Parallel Databases. https://doi.org/10.1007/s10619-023-07431-3 |
A flexible and scalable reconfigurable FPGA overlay architecture for data-flow processing.Drewes, A., Burtsev, V., Gurumurthy, B., Wilhelm, M., Broneske, D., Saake, G., & Pionteck, T. (2023).A flexible and scalable reconfigurable FPGA overlay architecture for data-flow processing. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (S. 212-212). Marina Del Rey, CA, USA: IEEE. https://doi.org/10.1109/FCCM57271.2023.00040 |
Intelligent data migration policies in a write-optimized copy-on-write tiered storage stack.Wünsche, J., Karim, S., Kuhn, M., Broneske, D., & Saake, G. (2023).Intelligent data migration policies in a write-optimized copy-on-write tiered storage stack. In Association for Computing Machinery (Hrsg.), CHEOPS '23: Proceedings of the 3rd Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems. Rom, Italien: ACM. https://doi.org/10.1145/3578353.3589543 |
Leveraging educational blogging to assess the impact of collaboration on knowledge creation.Obionwu, V., Broneske, D., & Saake, G. (2023).Leveraging educational blogging to assess the impact of collaboration on knowledge creation. International Journal of Information and Education Technology. https://doi.org/10.18178/ijiet.2023.13.5.1868 |
Novel insights on atomic synchronization for sort-based group-by on GPUs.Gurumurthy, B., Broneske, D., Schäler, M., Pionteck, T., & Saake, G. (2023).Novel insights on atomic synchronization for sort-based group-by on GPUs. Distributed and Parallel Databases. https://doi.org/10.1007/s10619-023-07424-2 |
Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets.Mondal, R., Dung Do, M., Ahmed, N. U., Walke, D., Micheel, D., ... & Heyer, R. (2023).Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets. In BMC Medical Informatics and Decision Making (Hrsg.), Selected articles from the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021). Heidelberg: BMC Part of Springer Nature. https://doi.org/10.1186/s12911-023-02112-8 |
Vorträge & Tagungen
Liste der Vorträge & Tagungen
Data streams: Investigating data structures for multivariate asynchronous time series prediction problems.Vox, C., Broneske, D., Shaikat, I., & Saake, G. (2023, Februar).Data streams: Investigating data structures for multivariate asynchronous time series prediction problems. Vortrag auf der Konferenz 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Lissabon, Portugal. |
An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements.Obionwu, V., Kumar, R., Shantaram, S., Broneske, D., & Saake, G. (2023, Januar).An intervention strategy for mitigating the prevalence of syntax errors during task exercise engagements. Vortrag auf der Konferenz 6th World Conference on Computing and Communication Technologies (WCCCT), IEEE, Chengdu, China. |
Towards a strategy for developing a project partner recommendation system for University course projects.Obionwu, V., Walia, D., Tiwari, T., Ghosh, T., Broneske, D., & Saake, G. (2023, Januar).Towards a strategy for developing a project partner recommendation system for University course projects. Vortrag auf der Konferenz 2023 6th World Conference on Computing and Communication Technologies (WCCCT), IEEE, Chengdu, China. |
Exploiting views for collaborative research data management of structured data.Broneske, D., Wolff, I., Köppen, V., & Schäler, M. (2022, November/Dezember).Exploiting views for collaborative research data management of structured data. Vortrag auf der Konferenz The 24th International Conference on Asia-Pacific Digital Libraries (ICADL 2022). From born-physical to born-virtual: Augmenting intelligence in digital libraries, Hanoi, Vietnam. |
Microblogs-A means for simulating informal learning beyond classrooms.Obionwu, V., Broneske, D., & Saake, G. (2022, Oktober).Microblogs-A means for simulating informal learning beyond classrooms. Vortrag auf der Konferenz 14th International Conference on Education Technology and Computers (ICETC), Barcelona, Spanien. |
Leveraging educational blogging to assess the impact of collaboration on knowledge creation.Obionwu, V., Broneske, D., & Saake, G. (2022, Oktober).Leveraging educational blogging to assess the impact of collaboration on knowledge creation. Vortrag auf der Konferenz 13th International Conference on Distance Learning and Education (ICDLE), Barcelona, Spanien. |
Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems.Obionwu, V., Broneske, D., & Saake, G. (2022, Juli).Topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems. Vortrag auf der Konferenz International Conference on Knowledge and Education Technology (ICKET), London, Großbritannien. |
Slide-recommendation system: A strategy for integrating instructional feedback into online exercise sessions.Obionwu, V., Toulouse, V., Broneske, D., & Saake, G. (2022, Juli).Slide-recommendation system: A strategy for integrating instructional feedback into online exercise sessions. Vortrag auf der Konferenz International Conference on Data Science, Technology and Applications (DATA), Lissabon, Portugal. |
A collaborative learning environment using blogs in a learning management system.Obionwu, V., Broneske, D., & Saake, G. (2022, Juni).A collaborative learning environment using blogs in a learning management system. Vortrag auf der Konferenz EAI Conference on Computer Science and Education in Computer Science (CSECS), Sofia, Bulgarien. |
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, März).Integer time series compression for holistic data analytics in the context of vehicle sensor data. Vortrag auf der Konferenz 2022 International Conference on Connected Vehicle and Expo (ICCVE), IEEE Xplore Institute of Electrical and Electronics Engineers, Lakeland, FLorida, USA. https://doi.org/10.1109/ICCVE52871.2022.9743019 |
Automatisierte Codierung von Berufsangaben mittels BERT.Föste-Eggers, D., Avetisyan, H., Safikhani, P., & Broneske, D. (2021, Dezember).Automatisierte Codierung von Berufsangaben mittels BERT. Vortrag auf der Tagung Methodische Herausforderungen in der empirischen Bildungsforschung, Thementagung der digiGEBF21, DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main. |
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
