
About
Gábor Bergmann is a researcher at Budapest University of Technology and Economics, Hungary, and a member of the MTA-BME Lendület Research Group on Cyber-Physical Systems. He actively contributes to the fields of model-driven engineering and incremental computing, with a focus on efficient query evaluation and program analysis.
His research interests include:
- Model-Driven Engineering
- Incremental Computing
- Query Evaluation
- Program Analysis using Datalog
- Static and Whole-Program Analysis
- Cyber-Physical Systems
The recent publications of Gábor Bergmann demonstrate a strong trend in incremental computation techniques applied to program and model analysis, particularly leveraging Datalog and lattice-based frameworks. His work focuses on optimizing performance and scalability of analyses through change-driven evaluation, with applications in model synchronization, inter-procedural analysis, and EMF-based systems.
He has served on program committees, particularly in the Foundations Track of the MODELS conference series, indicating active engagement in the academic community.
While no formal advising or grant information is available from the provided text, his involvement in a Lendület research group suggests participation in funded research projects. He has not received any explicitly mentioned scientific awards in the provided data.
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