Nicolas Malm
Papers
2
Total Citations
81
H-Index
2
About
Nicolas Malm is a leading researcher in wireless localization and radio-frequency sensing, with a focus on next-generation cellular networks and smart environments. His work primarily addresses the challenges of accurate positioning and human activity recognition in 5G ultra-dense networks and beyond. Malm’s most cited paper, “On the Performance of AoA–Based Localization in 5G Ultra–Dense Networks” (2019, 79 citations), provides foundational insights into angle-of-arrival techniques for enabling precise localization in dense, high-bandwidth deployments—critical for autonomous vehicles, intelligent transport, and industrial robotics. He also explores radio vision for context-aware applications, as in “Beamsteering for Training-free Counting of Multiple Humans Performing Distinct Activities” (2020), which proposes novel methods for human density estimation and activity recognition without prior training, relevant to smart buildings and human-robot safety. Malm’s contributions bridge theoretical performance analysis and practical sensing solutions, influencing both academic research and real-world 5G system design. His work is widely cited by engineers and scientists advancing localization and pervasive computing.
Research Focus
Key Achievements
Top Papers
- 1On the Performance of AoA–Based Localization in 5G Ultra–Dense Networks79 citations · 2019
- 2