Frank Kammer

Frank Kammer is a researcher at the Technical University of Central Hesse, actively engaged in teaching and research projects. He co-leads the RegioTainment platform with Biebertal municipality and contributes to the SEA Project, an open C++ library for space-efficient algorithms.

• Teaching: Database Systems (CS1020), Software Engineering (CS1023), Efficient Algorithms (CS2353), Artificial Intelligence (CS2364/WK1613), etc.
• Research: Focuses on space-efficient graph algorithms, temporal graph exploration, and algorithm engineering.

His work addresses computational challenges in huge datasets and memory-constrained devices, with applications in planar graph encoding, vertex separators, and student feedback systems.

• Advising: Supervised theses on topics including data-driven analytics platforms, low-code integration, cloud orchestration, and AI-optimized marketing campaigns.
• Collaboration: Works with students like Max Stephan, Timon Pellekoorne, and Johannes Meintrup on algorithm implementation and educational tools.

Projects like RegioTainment emphasize digital community networking to preserve rural culture while embracing modernity.