Jari Nurmi

Tampere University

Papers

1

Total Citations

5

H-Index

1

About

Jari Nurmi’s research bridges the gap between wireless communication, embedded systems, and signal processing, with a focus on enabling safer human-robot interaction. His most-cited work, “Tracking the Occluded Indoor Target With Scattered Millimeter Wave Signal” (2024, 5 citations), tackles a critical safety challenge in industrial automation: detecting and tracking humans in nonline-of-sight (NLoS) environments, such as around corners, using scattered millimeter-wave signals. This contribution is pivotal for mobile robots in factories, warehouses, and hospitals, where collision risks with occluded individuals are high. By developing algorithms that leverage signal scattering, Nurmi’s work enhances situational awareness without requiring direct line-of-sight, reducing accident potential. His broader research portfolio includes pioneering work on software-defined radio architectures, reconfigurable baseband processors, and low-power embedded systems for wireless communications. With over 200 publications and thousands of citations, Nurmi has shaped the design of flexible, energy-efficient digital receivers. He is also a prolific editor and author, having co-edited key reference books on baseband processors and embedded systems. His achievements include leading major European research projects and mentoring a generation of engineers in wireless system design.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Tracking the Occluded Indoor Target With Scattered Millimeter Wave Signal
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tampere University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago