Harris Perakis

Papers

Total Citations

H-Index

About

Harris Perakis is a leading researcher in indoor positioning systems, with a primary focus on the fusion of Ultra-Wideband (UWB) and Wi-Fi technologies for robust localization. His most cited work, "Range validation of UWB and Wi-Fi for integrated indoor positioning" (2019, 27 citations), tackles a critical challenge in sensor fusion: ensuring that the statistical models describing measurement errors are correctly specified. Perakis’s major contribution lies in developing validation frameworks that assess the reliability of range measurements before integration, significantly improving the accuracy and resilience of hybrid positioning systems in complex indoor environments. This work is foundational for applications in autonomous navigation, asset tracking, and smart infrastructure. Beyond this cornerstone paper, Perakis has advanced the understanding of error distributions in wireless ranging, directly impacting the design of more dependable location-based services. His research is highly regarded for bridging theoretical rigor with practical implementation, making him a key figure in the evolution of seamless indoor-outdoor positioning technologies.