David Broneske

David Broneske is a Researcher at the Otto von Guericke University of Magdeburg, Germany. His work spans Database Systems, Heterogeneous Computing, and Machine Learning Applications, with a focus on GPU/FPGA Acceleration and Non-volatile Memory (NVM) Optimization. He has contributed to projects like ADAMANT (co-processor integration) and GridTables (H2TAP data stores).

• Key Research Areas: Database acceleration via specialized hardware, Graph database applications in clinical/biological domains, and AutoML for domain-aware model selection.
• Collaborations: Frequent co-author with Gunter Saake, Bala Gurumurthy, and Sajad Karim on topics like NVM Storage and GPU-based Query Execution.
• Publications: Over 105 papers (2012–2025) covering Protein Identification Systems, Entity Resolution, and Software Evolution Datasets.
• Workshops: Co-organized the Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC) and contributed to standards like Backlogs/Interval Timestamps for temporal graph queries.