Bala Gurumurthy, Vasudev Raghavendra
Bidarkar, David Broneske, Thilo Pionteck, and Gunter Saake.
Exploiting Shared Sub-Expression and Materialized View Reuse for
Multi-Query Optimization.
In Journal of Information System Frontiers, June 2024.
accepted.
Mustafa N Abbas, A Attea Bara’a,
David Broneske, and Gunter Saake.
An evolutionary algorithm with heuristic operator for detecting protein
complexes in protein interaction networks with negative controls.
IEEE Access, 2024.
Sadeq Darrab, Florian Kleinert, David
Broneske, and Gunter Saake.
Exploring the Advantages and Limitations of Association Rule Mining and
Decision Trees for Pattern Mining in Heart Disease Data.
The 20th International Conference on Advanced Data Mining and Applications
(ADMA2024), Springer, June 2024.
accepted.
Sajad Karim, Johannes Wünsche,
David Broneske, Michael Kuhn, and Gunter Saake.
A Design Proposal for
a Unified B-epsilon-tree: Embracing NVM in Memory Hierarchies.
In Uta Störl, editor, Proceedings of the 35th GI-Workshop Grundlagen
von Datenbanken, Herdecke, Germany, May 22-24, 2024, volume 3710 of
CEUR Workshop Proceedings, pages 43–50. CEUR-WS.org,
2024.
Chukwuka Victor Obionwu, Bhavya
Baburaj Chovatta Valappil, Minu Genty, Maria Jomy, Visakh Padmanabhan, Sumat
Singh Bedi Aishwarya Suresh, David Broneske, and Gunter Saake.
Expert Agent Guided Learning with Transformers and Knowledge Graphs.
volume Volume 1, pages 180–189. Proceedings of the 13th International
Conference on Data Science, Technology and Applications DATA, scitepress,
June 2024.
Bala Gurumurthy, Vasudev Raghavendra
Bidarkar, David Broneske, Thilo Pionteck, and Gunter Saake.
What Happens When Two Multi-Query Optimization Paradigms
Combine?.
In Advances in Databases and Information Systems, September
2023.
Chukwuka Victor Obionwu, Kalu Oji Kalu,
Paul Blockhaus, David Broneske, and Gunter Saake.
A Strategy for Retrospective Evaluation of Students SQL Learning
Engagements.
pages 1–7. 2023 3rd International Conference on Electrical, Computer,
Communications and Mechatronics Engineering (ICECCME), IEEE, May
2023.
Chukwuka Victor Obionwu, Maximilian
Karl, David Broneske, Anja Hawlitschek, Paul Blockhaus, and Gunter Saake.
A Strategy for Structuring Teams Collaboration in University Course
Projects.
pages 32–42. In Proceedings of the 20th International Conference on Smart
Business Technologies (ICSBT 2023),, May 2023.
Chukwuka Victor Obionwu, S.M Laique
Abbas, Visakh Padmanabhan, Taruna Tiwari, David Broneske, and Gunter Saake.
Optical image recognition strategy for keyword extraction and page
ranking for slide recommendation system.
pages 2065–2070. 2023 3rd International Conference on Electrical, Computer,
Communications and Mechatronics Engineering (ICECCME), IEEE, May
2023.
Victor Obionwu, Vincent Toulouse, David
Broneske, and Gunter Saake.
Automatic instructional feedback, and a Lecture Hub System, a Strategy
towards Nurturing the acquisition of a structured engagement
behavior.
In International Conference on Data Management Technologies and
Applications (pp. 219-242). Cham: Springer Nature Switzerland., May
2023.
Spoorthi Nijalingappa, Bala Gurumurthy,
David Broneske, and Gunter Saake.
Vertical Vectorized Hashing for Faster Group-By
Aggregation.
In Proceedings of the International Workshop on Big Data Management on
Emerging Hardware (HardBD), April 2023.
Accepted.
Bala Gurumurthy, David Broneske, Martin
Schäler, Thilo Pionteck, and Gunter Saake.
Novel Insights on Atomic Synchronization for Sort-Based Group-By on
GPUs.
Distributed and Parallel Databases (DAPD), April
2023.
Harish Kumar Harihara Subramanian, Bala
Gurumurthy, Gabriel Campero Durand, David Broneske, and Gunter Saake.
Out-of-the-Box Library Support for DBMSOperations On GPUs.
Distributed and Parallel Databases (DAPD), April
2023.
Christopher Vox, David Broneske,
Istiaque Mannafee Shaikat, and Gunter Saake.
Data Streams: Investigating data structures for multivariate
asynchronous time series prediction problems.
In International Conference on Pattern Recognition Applications and
Methods (ICPRAM), 2023.
accepted.
Chukwuka Victor Obionwu,
Damanpreet Singh Walia, Taruna Tiwari, Tathagatha Ghosh, David Broneske, and
Gunter Saake.
Towards A Strategy for Developing a Project Partner Recommendation
System for University Course Projects.
pages 144–151. 6th World Conference on Computing and Communication
Technologies (WCCCT 2023), IEEE, January 2023.
Chukwuka Victor Obionwu, Rahul Kumar,
Suhas Shantharam, David Broneske, and Gunter Saake.
Semantic Relatedness : A Strategy for Plagiarism Detection in SQL
Assignments.
pages 158–165. 2023 6th World Conference on Computing and Communication
Technologies (WCCCT), IEEE, January 2023.
Johannes Wünsche, Sajad Karim,
Michael Kuhn, David Broneske, and Gunter Saake.
Intelligent Data Migration Policies in a Write-Optimized Copy-on-Write
Tiered Storage Stack.
In Jean-Thomas Acquaviva, Shadi Ibrahim, and Suren Byna, editors,
Proceedings of the 3rd Workshop on Challenges and Opportunities of
Efficient and Performant Storage Systems, CHEOPS 2023, Rome, Italy, 8 May
2023, pages 17–26. ACM, 2023.
Chukwuka Victor Obionwu, Taruna Tiwari,
Bhavya Baburaj Chovatta Valappil, Nishanth Raikar, Damanpreet Singh Walia,
S.M Laique Abbas, chukwuemeka Okafor, David Broneske, and Gunter Saake.
A Domain specific students’ assistance system for the provision of
instructional feedback.
pages 2065–2070. 2023 International Conference on Machine Learning and
Applications (ICMLA), IEEE, September 2023.
Chukwuka Victor Obionwu, Rahul Raj
Kanagaraj, David Broneske, Anja Buch, Christian Knopke, and Gunter Saake.
A Mediation Strategy For Communication Between an internal Chat System
and an Open Source Chat System.
International Conference on Advances in Education and Information Technology,
Springer, September 2023.
Accepted.
Sadeq Darrab, Harshitha Allipilli, Sana
Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, and
Gunter Saake.
Anomaly Detection Algorithms: Comparative Analysis and Explainability
Perspectives.
page 90–104. Australasian Conference on Data Science and Machine Learning
(AusDM23), Springer, 2023.
published.
Chukwuka Victor Obionwu, Devi Prasad
Ilapavuluri, David Broneske, and Gunter Saake.
A Study Partner Recommender System Using a Community Detection
Algorithm.
Springer Nature Computer Science book series, November 2023.
Accepted.
Christopher Vox, Jan Piewek,
Andreas Udo Sass, David Broneske, and Gunter Saake.
Integer Time Series Compression for Holistic Data Analytics in the
Context of Vehicle Sensor Data.
In International Conference on Connected Vehicles & Expo
(ICVVE), 2022.
Ian Wolff, David Broneske, and Veit
Köppen.
Towards a Learning Analytics Metadata Model.
In Proceedings of the International Learning Analytics and Knowledge
Conference (LAK), 2022.
Accepted.
Victor Obionwu, Vincent Toulouse, David
Broneske, and Gunter Saake.
Slide-Recommendation System: A Strategy for Integrating Instructional
Feedback into Online Exercise Sessions.
pages 541–548. SCITEPRESS, In Proceedings of the 11th International Conference
on Data Science, Technology and Applications, June
2022.
Victor Obionwu, David Broneske, and
Gunter Saake.
A Collaborative Learning Environment using Blogs in a learning
management system.
In 11th International Conference on Knowledge and Education
Technology, pages 213–232. International Conference on Computer
Science and Education in Computer Science, Springer, November
2022.
Victor Obionwu, David Broneske, and
Gunter Saake.
Leveraging Educational Blogging to Assess the Impact of Collaboration
on Knowledge Creation.
In 13th International Conference on Distance Learning and Education
(ICDLE 2022), pages 785–791. International Conference on Distance
Learning and Education ICDLE 2022, IJIET, June 2022.
Victor Obionwu, David Broneske, and
Gunter Saake.
Microblogs-A means for simulating informal learning beyond
classrooms.
In Proceedings of the 14th International Conference on Education
Technology and Computers, pages 219–225. 14th International
Conference on Education Technology and Computers (ICETC 2022), June
2022.
Victor Obionwu, Chukwuka, Christian
Harnisch, Kalu Kalu, David Broneske, and Gunter Saake.
An intervention strategy for mitigating the prevalence of syntax errors
during task exercise engagements.
pages 1–6. International Conference on Engineering and Emerging Technologies
ICEET 2022, IEEE, September 2022.
David Broneske, Ian Wolff, Veit
Köppen, and Martin Schäler.
Exploiting views for collaborative research data management of
structured data.
In Proceedings of the International Conference on Asian Digital Libraries
(ICADL), pages 360–376, 2022.
Victor Obionwu, David Broneske, and
Gunter Saake.
Topic maps as a tool for facilitating collaborative work pedagogy in
knowledge management systems.
pages 50–60. Proceedings of the 12th International Conference on Information
Communication and Management, ACM, June 2022.
2021
David Broneske, Anna Drewes, Bala
Gurumurthy, Imad Hajjar, Thilo Pionteck, and Gunter Saake.
In-Depth Analysis of OLAP Query Performance On Heterogeneous
Hardware.
Datenbank-Spektrum, Volume 21, page 133–143, May
2021.
Harish Kumar Harihara Subramanian, Bala
Gurumurthy, Gabriel Campero Durand, David Broneske, and Gunter Saake.
Analysis of GPU-Libraries for
rapid Prototyping Database Operations.
In Proceedings of the International Workshop on Big Data Management on
Emerging Hardware (HardBD), pages 36–41, April
2021.
Victor Obionwu, David Broneske, Anja
Hawlitschek, Veit Köppen, and Gunter Saake.
SQLValidator - An Online Student Playground to Learn SQL.
Datenbank-Spektrum, Springer, 21(2):73–81, March
2021.
Hayastan Avetisyan and David Broneske.
Identifying and Understanding Game-Framing in Online News: BERT and
Fine-Grained Linguistic Features.
In Proceedings of the International Conference on Natural Language and
Speech Processing (ICNLSP), pages 95–107. Association for
Computational Linguistics, 2021.
Ian Wolff, David Broneske, and Veit
Köppen.
A first metadata schema for learning analytics research data
management.
o-bib. Das offene Bibliotheksjournal/Herausgeber VDB, 8(4):1–20,
2021.
Rahul Mondal, Minh Dung Do, Nasim Uddin
Ahmed, David Broneske, Gunter Saake, and Robert Heyer.
Integrating Decision Tree Learning on the Graph Database Neo4j to
Analyze Clinical Data.
In Proceedings of the International Conference on Computational
Intelligence Methods for Bioinformatics and Biostatistics (CIBB),
2021.
Ian Wolff, David Broneske, and Veit
Köppen.
FAIR research data management for learning analytics.
In Proceedings of DELFI Workshops, pages 158–163,
2021.
Nicole Vorhauer-Huget, Praveen Mathew,
Hariharasudhan Gunasekaran, Minh Do, Savio Thalakkotoor, Vishnu Jayanand,
Prathap Dhanasekaran, Chinmay Hegde, Benjith Kochupurakkal, and David
Broneske.
3D Animation of
Single Stage Batch Distillation for Distance Learning.
In EDULEARN21 Proceedings, pages 476–483. IATED,
2021.
Bala Gurumurthy, Imad Hajjar, David
Broneske, Thilo Pionteck, and Gunter Saake.
When Vectorwise Meets Hyper, Pipeline Breakers Become the
Moderator.
Eleventh International Workshop on Accelerating Analytics and Data
Management Systems Using Modern Processor and Storage Architectures
(ADMS), August 2020.
Mahmoud Mohsen, Norman May, Christian
Färber, and David Broneske.
FPGA-Accelerated
Compression of Integer Vectors.
In International Workshop on Data Management on New Hardware
(DaMoN), pages 1–10. ACM, June 2020.
Roman Zoun, Kay Schallert, David
Broneske, Ivayla Trifonova, Xiao Chen, Robert Heyer, Dirk Benndorf, and
Gunter Saake.
Efficient Transformation of Protein Sequence Databases to Columnar
Index Schema.
In International Workshop on Biological Knowledge Discovery and Data
Mining (BIOKDD-DEXA), volume 1062 of CCIS, pages 67–72.
IEEE, August 2019.
Xiao Chen, Gabriel Campero Durand,
Roman Zoun, David Broneske, Yang Li, and Gunter Saake.
The Best of Both Worlds: Combining Hand-Tuned and Word-Embedding-Based
Similarity Measures for Entity Resolution.
In Datenbanksysteme für Business, Technologie und Web, pages
215 – 224, March 2019.
Roman Zoun, Kay Schallert, David
Broneske, Wolfram Fenske, Marcus Pinnecke, Robert Heyer, Sven Brehmer, Dirk
Benndorf, and Gunter Saake.
MSDataStream - Connecting a Bruker Mass Spectrometer to the
Internet.
In Datenbanksysteme für Business, Technologie und Web, pages
507 – 510. Gesellschaft für Informatik, March
2019.
Marcus Pinnecke, Gabriel Campero, Roman
Zoun, David Broneske, and Gunter Saake.
Protobase: It’s About Time for Backend/Database
Co-Design.
In Holger Meyer, Norbert Ritter, Andreas Thor, Daniela Nicklas, Andreas Heuer,
and Meike Klettke, editors, BTW 2019 – Workshopband, volume
P-289 of Lecture Notes in Informatics (LNI), pages 515–518.
Gesellschaft für Informatik, March 2019.
Marcus Pinnecke, Gabriel Campero, Roman
Zoun, David Broneske, and Gunter Saake.
Protobase: It's About Time for Backend/Database Co-Design.
In Datenbanksysteme für Business, Technologie und Web (BTW),
pages 515–518, 2019.
Roman Zoun, Kay Schallert, David
Broneske, Sören Falkenberg, Robert Heyer, Sabine Wehnert, Sven Brehmer,
Dirk Benndorf, and Gunter Saake.
MStream: Proof of Concept of an Analytic Cloud Platform for
Near-Real-Time Diagnostics using Mass Spectrometry Data.
002-2019, Otto-von-Guericke-University Magdeburg, 2019.
Marten Wallewein-Eising, David
Broneske, and Gunter Saake.
SIMD Acceleration for Main-Memory Index
Structures – A Survey.
In Proceedings of the International Conference Beyond Databases,
Architectures and Structures (BDAS), pages 105–119, September
2018.
Bala Gurumurthy, David Broneske, Marcus
Pinnecke, Gabriel Campero Durand, and Gunter Saake.
SIMD Vectorized Hashing for Grouped
Aggregation.
In Advances in Databases and Information Systems, pages 113 –
126, September 2018.
Roman Zoun, Gabriel Campero Durand, Kay
Schallert, Apoorva Patrikar, David Broneske, Wolfram Fenske, Robert Heyer,
Dirk Benndorf, and Gunter Saake.
Protein Identification as a Suitable Application for Fast Data
Architecture.
In International Workshop on Biological Knowledge Discovery and Data
Mining (BIOKDD-DEXA), pages 168 – 178. IEEE, September
2018.
Roman Zoun, Kay Schallert, Atin Janki,
Rohith Ravindran, Gabriel Campero Durand, Wolfram Fenske, David Broneske,
Robert Heyer, Dirk Benndorf, and Gunter Saake.
Streaming FDR Calculation for Protein Identication.
In Advances in Databases and Information Systems, pages 80 – 87,
September 2018.
Iya Arefyeva, Gabriel Campero Durand,
Marcus Pinnecke, David Broneske, and Gunter Saake.
Low-Latency Transaction Execution
on Graphics Processors: Dream or Reality?.
Ninth International Workshop on Accelerating Analytics and Data
Management Systems Using Modern Processor and Storage Architectures
(ADMS), August 2018.
Gabriel Campero Durand, Marcus
Pinnecke, Rufat Piriyev, Mahmoud Mohsen, David Broneske, Gunter Saake, Maya
Sekeran, Fabian Rodriguez, and Laxmi Balami.
GridFormation: Towards Self-Driven
Online Data Partitioning using Reinforcement Learning.
In First International Workshop on Exploiting Artificial Intelligence
Techniques for Data Management (aiDM), June 2018.
(PDF)
Atin Janki, Roman Zoun, Kay Schallert,
Rohith Ravindran, David Broneske, Wolfram Fenske, Robert Heyer, Dirk
Benndorf, and Gunter Saake.
Connecting X! Tandem to a Database Management
System.
In GI-Workshop Grundlagen von Datenbanken, GvDB, pages 77–82, May
2018.
Roman Zoun, Kay Schallert, David
Broneske, Robert Heyer, Dirk Benndorf, and Gunter Saake.
Interactive Chord Visualization for Metaproteomics.
In International Workshop on Biological Knowledge Discovery and Data
Mining (BIOKDD-DEXA). IEEE, 2017.
www.dxdoi.org/10.1109/DEXA.2017.32.
Marcus Pinnecke, David Broneske, and
Gunter Saake.
Toward GPU
Accelerated Data Stream Processing.
In Proceedings of the 27th GI-Workshop Grundlagen von Datenbanken,
Gommern, Germany, May 26-29, 2015., pages 78–83,
2015.
David Broneske, Sebastian Breß, Max
Heimel, and Gunter Saake.
Toward
Hardware-Sensitive Database Operations.
In Proceedings of the 17th International Conference on Extending Database
Technology (EDBT), pages 229–234. OpenProceedings.org,
2014.
David Broneske, Sebastian Breß, and
Gunter Saake.
Database Scan Variants on Modern CPUs: A Performance Study.
In Proceedings of the 2nd International Workshop on In-Memory Data
Management and Analytics (IMDM), Lecture Notes in Computer Science,
pages 97–111. Springer, 2014.
David Broneske, Denis Dietze, Maik
Lampe, and Andreas Meier.
Vergleich von Indexverfahren
für hochdimensionale Datenräume.
In Techniken zur forensischen Datenhaltung, volume 1 of
Ausgewählte studentische Beiträge (AsB), pages 1 – 12.
Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg,
2012.
Preeti Singh.
A Study of Keyword and Keyphrase Extraction Techniques and Developing a
Hierarchical Structure for Quantitative Social Science Surveys.
Master's thesis, University of Magdeburg, January 2025.
Shadrack Akhidenor.
Development of a User Friendly Web Application for Survey Questionnaire
Database.
Master's thesis, University of Magdeburg, July 2023.
Pawan
Joshi.
A Study of Keyword and Keyphrase Extraction Techniques for Quantitative
Social Science Surveys.
Master's thesis, University of Magdeburg, January 2023.
Vinaykumar Reddy Yadavelli.
VIZ-A Web Application for Data Visualization.
Master's thesis, University of Magdeburg, September
2023.
2022
Nathan Kumar Chikkam.
Design and implementation of backend web architecture for DZHW data
portal visualizations.
Master's thesis, University of Magdeburg, December 2022.
Vincent Toulouse.
Slide-recommendation for improving students SQL solutions using natural
language processing.
Bachelor thesis, University of Magdeburg, September
2021.
Christian Harnisch.
Ein tutorial für das Lehrtool SQL Validator.
Bachelor thesis, OVGU, December 2021.
Nikhil Mandya Parashivamurthy.
Forecast of Gap Year in a Student’s Education and the Factors
Contributing to It.
Master's thesis, University of Magdeburg, July 2021.
Felix Schmekel.
Redesign des mobilen Geoinformationssystems – SAGis Mobil
App.
Bachelor thesis, University of Magdeburg, 2021.
2020
Saagar Gaikwad.
Predicting bond prices using regression and neural network
techniques.
Master's thesis, University of Magdeburg, May 2020.
