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David Broneske

Dr. David Broneske

Research Area Research Infrastructure and Methods
Acting Head
  • +49 511 450670-454
  • +49 511 450670-960

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

Publications

List of publications

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FAIR Research Data Management for Learning Analytics.

Wolff, I., Broneske, D., & Köppen, F. (2021).
FAIR Research Data Management for Learning Analytics. In Lingnau, A. (Hrsg.), Proceedings of DELFI Workshops 2021 (S. 158-163). Dortmund: Hochschule Ruhr West 2021.

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

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

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

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
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Presentations

List of presentations & conferences

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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.

Informationsgewinn durch Datenportale und dem Open Research Knowledge Graph.

Broneske, D. (2021, November).
Informationsgewinn durch Datenportale und dem Open Research Knowledge Graph. Vortrag im Rahmen des November der Wissenschaft 2021, Initiative Wissenschaft Hannover.

Informationsgewinn durch Datenportale und dem Open Research Knowledge Graph.

Broneske, D. (2021, November).
Informationsgewinn durch Datenportale und dem Open Research Knowledge Graph. Vortrag im Rahmen der Berlin Science Week 2021, Berlin, Deutschland.

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.
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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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In collaboration with

Hayastan Avetisyan

Hayastan Avetisyan