Ingrid Moerman

Ghent University, iMinds

Papers

7

Total Citations

129

H-Index

6

About

Ingrid Moerman is a prominent researcher whose work sits at the intersection of wireless communications, indoor localization, and networked robotics — fields of growing critical importance as industrial automation and smart environments continue to evolve. Her most influential contribution, "Optimizing Time-of-Arrival Localization Solutions for Challenging Industrial Environments" (2016, 40 citations), addresses the pressing need for reliable GPS-free indoor positioning systems, bridging the gap between theoretical proposals and practical real-world deployment. This work exemplifies her commitment to translating research into tangible industrial solutions. Moerman has made significant strides in mobile robotics communication, exploring flexible Wi-Fi architectures, mesh networking topologies, and vehicular ad hoc networking protocols adapted for robotic systems. Her research on QoS challenges in wireless sensor networked robotics (26 citations) further demonstrates her ability to identify and address fundamental engineering obstacles in emerging technologies. Her more recent work on UWB-MAC protocols for ultra-low-power anchor nodes reflects her continued innovation in energy-efficient localization systems. Through her involvement with the IBBT w-iLab.t experimental testbed, Moerman has also contributed meaningfully to establishing robust wireless research infrastructure, making her a well-rounded and impactful figure in applied wireless communications research.

Research Focus

Key Achievements

6
H-Index
7
Papers
129
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Optimizing Time-of-Arrival Localization Solutions for Challenging Industrial Environments
40 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Ghent University, iMinds

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago