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About

Reza Zandian is a researcher specializing in ultra-wideband (UWB) localization, mobile robotics, and swarm communication systems. His primary contributions lie in advancing indoor localization techniques, particularly through the use of Time of Arrival (ToA) and Time Difference of Arrival (TDoA) configurations in multi-node setups. His most cited work, "Robot self-localization in ultra-wideband large scale multi-node setups" (2017, 20 citations), demonstrates how UWB’s large bandwidth enables precise time-based localization, addressing challenges like network traffic in dense environments. In his thesis, "Ultra-wideband Based Indoor Localization of Mobile Nodes in ToA and TDoA Configurations" (2019, 6 citations), he evaluates algorithms to improve accuracy and stability under non-ideal indoor conditions. Zandian also explores non-line of sight error mitigation using Bayesian filters (EKF, H-infinity, UKF) in differential localization systems (2018, 3 citations), and has contributed to robotics education with a smartphone-controlled robot platform for soccer and edutainment (2015, 3 citations). His work on NFC-based communication in swarm robotics (2014, 2 citations) further highlights his versatility. With a focus on practical, scalable solutions, Zandian’s research impacts autonomous navigation, industrial automation, and educational robotics.