Timo Ala-Kleemola

Tampere University of Applied Sciences

Papers

1

Total Citations

7

H-Index

1

About

Timo Ala-Kleemola is a researcher whose work sits at the intersection of applied physics and security technology, with a primary focus on electromagnetic induction sensing and classification. His most notable contribution is a novel method for identifying objects passing through walk-through metal detectors, which he detailed in his 2009 paper "Classification of items in a walk-through metal detector using time series of eigenvalues of the polarizability tensor." This work addresses a critical challenge in modern airport security: the need for fast, accurate screening that can distinguish between harmless personal items and potential threats. By analyzing the time-varying eigenvalues of the polarizability tensor, Ala-Kleemola's approach enables the classification of metallic objects in real-time, moving beyond simple detection to actual identification. While his citation count (7) reflects a specialized audience, the practical implications of his research are significant, contributing directly to the development of smarter, more efficient security checkpoints. His work represents a meaningful step forward in balancing the dual demands of rigorous safety protocols and the ever-increasing flow of passengers through 21st-century transportation hubs.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Classification of items in a walk-through metal detector using time series of eigenvalues of the polarizability tensor
7 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tampere University of Applied Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago