
About
Carsten Binnig is a Professor at Technische Universität Darmstadt, leading research in Data and AI Systems. His work focuses on next-generation data management architectures leveraging modern hardware capabilities like high-speed RDMA networks.
Primary research areas include:
- Distributed database systems for cloud and edge environments
- AI-driven optimization of query processing
- Hardware-accelerated data management
- Stream processing architectures
- Secure computation in databases
Recent publications examine learned cost estimators, RDMA synchronization challenges, and benchmarking frameworks for distributed systems. His group develops novel approaches to optimize database kernels and enhance cloud DBMS security.
He contributes to major database conferences including SIGMOD and VLDB, and investigates emerging challenges in LLM-based data engineering.
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