Rate My Professor Sarah Johnson

Her research specializations encompass digital signal processing, information theory, and error correction coding, including Low Density Parity Check codes, iterative error correction codes such as Turbo, LDPC, and Repeat-Accumulate codes. Key areas include secure communications with quantum key distribution, communications for Internet of Things, non-orthogonal multiple access, federated learning over wireless channels, and biomedical signal processing for rehabilitation and brain imaging. Johnson authored the book Iterative Error Correction: Turbo, Low-Density Parity-Check and Repeat-Accumulate Codes (Cambridge University Press, 2010) and over 100 peer-reviewed articles. Selected publications feature 'Data-Driven Low-Complexity Detection in Grant-Free NOMA for IoT' (IEEE Internet of Things Journal, 2024), 'Rate-Convergence Tradeoff of Federated Learning Over Wireless Channels' (IEEE Internet of Things Journal, 2023), and 'Belief Propagation Decoding of Primitive Rateless Codes' (IEEE Communications Letters, 2026). Her research is funded by eight ARC Discovery grants, an ARC Linkage Project, and industry collaborations, including with Quintessence Laboratories on quantum-secured communications. Johnson co-founded HunterWiSE to support women in STEM, serves on IEEE conference organising and technical program committees, and is Series Editor for Internet of Things in IEEE Communications Magazine. She coordinates and lectures courses including ELEC4740 Internet of Things and ELEC1710 Digital and Computer Electronics 1.