Thomas Kaiser

About

Thomas Kaiser is a leading researcher in high-frequency wireless sensing and localization, with a primary focus on terahertz (THz) and ultra-wideband (UWB) technologies. His work bridges the gap between theoretical propagation models and practical embedded systems, particularly for indoor environments. A major contribution is his pioneering work on chipless RFID tag placement optimization for indoor localization, enabling maximal coverage for applications like simultaneous localization and mapping (SLAM) and mobile material characterization. He has also advanced object recognition using high-resolution indoor THz synthetic aperture radar (SAR), achieving unprecedented spatial resolution for short-range mapping. Kaiser’s multidisciplinary approach includes data fusion for THz ray-tracing to create realistic human digital twins for human-robot interaction. His earlier work on UWB self-positioning systems addressed the critical challenge of accurate initial position estimation in non-line-of-sight environments. With over 25 citations on his chipless RFID work alone, Kaiser’s research has significant impact. Notably, he has developed hardware/software co-designs for FPGA-based THz SAR imaging, enabling real-time processing on unmanned aerial vehicles and mobile robots for high-resolution environment mapping.

Research Focus

Key Achievements

Top Papers

1. 1
   Chipless RFID Tags Placement Optimization as Infrastructure for Maximal Localization Coverage

   25 citations · 2022
2. 2
   Object Recognition in High-Resolution Indoor THz SAR Mapped Environment

   11 citations · 2022
3. 3
   Multidisciplinary Data Fusion for THz Ray- Tracing

   11 citations · 2022
4. 4
   Towards UWB Self-Positioning Systems for Indoor Environments Based on Electric Field Polarization, Signal Strength and Multiple Antennas

   9 citations · 2005
5. 5
   Hardware/Software Co-design of 2D THz SAR Imaging for FPGA-based Systems-on-Chip

   3 citations · 2022

Key Collaborators

Contact & Links