Thomas Haenselmann
Papers
1
Total Citations
3
H-Index
1
About
Thomas Haenselmann’s research bridges the gap between low-cost sensor technology and critical infrastructure assessment, with a particular focus on disaster response and structural health monitoring. His most cited work, “Robotic bridge statics assessment within strategic flood evacuation planning using low-cost sensors” (2017, 3 citations), addresses a life-saving scenario: evaluating a damaged bridge’s load-bearing capacity during a flood evacuation using affordable, non-proprietary sensors. By analyzing the bridge’s eigenfrequencies, Haenselmann’s approach enables rescue teams to quickly determine whether a structure can safely support a vehicle—a practical innovation that combines robotics, civil engineering, and emergency management. While his citation count is modest, the work stands out for its direct applicability to real-world crises, demonstrating how accessible technology can enhance strategic evacuation planning. Haenselmann’s contributions reflect a commitment to solving tangible problems in infrastructure resilience, making his research particularly valuable for students and practitioners interested in sensor networks, disaster risk reduction, and cost-effective engineering solutions.
Research Focus
Key Achievements
Top Papers
- 1