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
Dr. David Broneske
Abteilung Infrastruktur und Methoden
Abteilungsleitung
- 0511 450670-454
- 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
Anomaly detection algorithms: Comparative analysis and explainability perspectives.Darab, S., Allipilli, H., Ghani, S., Changaramkulath, H., Koneru, S., Broneske, D., & Saake, G. (2023).Anomaly detection algorithms: Comparative analysis and explainability perspectives. In D. Benavides-Prado et al. (Hrsg.), Data Science and Machine Learning, 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings (S. 90-104). Singapore: Springer Nature. |
WISHFUL - Website extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage.Shahania, S., Spiliopoulou, M., & Broneske, D. (2023).WISHFUL - Website extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage. In Delir Haghighi, P. et al. (Hrsg.), Information Integration and Web Intelligence (iiWAS 2023) (S. 20-26). Cham: Springer. https://doi.org/10.1007/978-3-031-48316-5_3 Abstract
Extracting information from diverse websites is increasingly important, especially for analyzing vast data sets to detect trends, gain insights. By studying job ads, researchers can monitor employer demand shifts, assisting policymakers in aiding affected workers and industries. However, extraction faces challenges like varied website formats, dynamic content, and duplicate data. This study introduces a method for extracting data from diverse private university websites involving keyword identification, website categorization, and extraction pipelines. |
Large language models and low-resource languages: An examination of Armenian NLP.Avetisyan, H., & Broneske, D. (2023).Large language models and low-resource languages: An examination of Armenian NLP. Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), 2023, 199-210. |
Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system.Obionwu, C. V., Abbas, S. M. L., Padmanabhan, V., Tiwari, T., Broneske, D., & Saake, G. (2023).Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (S. 1-6). Tenerife, Spain: IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252423 |
A strategy for retrospective evaluation of students SQL learning engagements.Obionwu, C. V., Kalu, K. O., Blockhaus, P., Broneske, D., & Saake, G. (2023).A strategy for retrospective evaluation of students SQL learning engagements. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023) (S. 1-7). Tenerife, Spain: IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252347 |
Decoding the encoded - Linguistic secrets of language models: A systematic literature review.Avetisyan, H., & Broneske, D. (2023).Decoding the encoded - Linguistic secrets of language models: A systematic literature review. In D. C. Wyld & D. Nagamalai (Hrsg.), Computer Science & Information Technology (CS & IT) (S. 67-88). Chennai, Tamil Nadu, India: AIRCC Publishing Corporation. |
FPGA-integrated bag of little bootstraps accelerator for approximate database query processing.Burtsev, V., Wilhelm, M., Drewes, A., Gurumurthy, B., Broneske, D., Pionteck, T., & Saake, G. (2023).FPGA-integrated bag of little bootstraps accelerator for approximate database query processing. In F. Palumbo, G. Keramidas, N. Voros, & P. C. Diniz (Hrsg.), Applied Reconfigurable Computing. Architectures, Tools, and Applications (ARC 2023). Lecture Notes in Computer Science (S. 115-130). Cham: Springer. |
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. |
Vorträge & Tagungen
Liste der Vorträge & Tagungen
CV
Seit 03/2021
Kommissarischer Leiter der Abteilung 4
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
