David Broneske

Dr. David Broneske

Research Area Research Infrastructure and Methods
Acting Head of Department
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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).

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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

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Information system on Federal Government research expenditures (DASTAT) for the Federal Ministry of Education and Research (BMBF) and the reporting system FOSTAT
Publications

List of publications

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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

Learning analytics data from collaborative SQL exercises using the SQLValidator.

Broneske, D., Obionwu, V., Berndt, S., & Hawlitschek, A. (2023).
Learning analytics data from collaborative SQL exercises using the SQLValidator. Magdeburg: Otto-von-Guericke-Universität.

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
Presentations

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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.

Die Debatte um das WissZeitVG auf twitter: #Ichbinhanna.

Broneske, D., Friedrich, C., Schwabe, U., & Schwemmer, C. (2022, November).
Die Debatte um das WissZeitVG auf twitter: #Ichbinhanna. Impulsvortrag in der Sitzung des Wissenschaftlichen Beirats, DZHW Hannover, Hannover.

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.

Die Debatte um das WissZeitVG auf twitter: #Ichbinhanna.

Broneske, D., Friedrich, C., Schwabe, U., & Schwemmer, C. (2022, Oktober).
Die Debatte um das WissZeitVG auf twitter: #Ichbinhanna. Impulsvortrag auf der Hausmesse Beschäftigungssituation in der Wissenschaft, DZHW Hannover, Hannover.

UCRP‐miner: Mining patterns that matter.

Darrab, S., Broneske, D., & Saake, G. (2022, Juli).
UCRP‐miner: Mining patterns that matter. Vortrag auf der Konferenz International Conference on Data Science and Information Technology (DSIT), Shanghai, China.

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.

Towards a learning analytics metadata model.

Wolff, I., Broneske, D., & Köppen, V. (2022, März).
Towards a learning analytics metadata model. Vortrag auf der Konferenz The 12th International Learning Analytics and Knowledge Conference, SoLAR Society for Learning Analytics Research.

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.
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

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