Justin Kennedy

Dr Justin Kennedy is a researcher at Queensland University of Technology (QUT), affiliated with the School of Electrical Engineering and Robotics and the QUT Centre for Robotics. His research focuses on cyber-physical systems, quickest change detection problems, and bushfire simulations. He collaborates with Prof Daniel Quevedo on adaptive wave filtering, Dr Jasmin Martin on detection algorithms, and Dr Troy Bruggemann on bushfire modeling. Kennedy holds a PhD from QUT (2020), with his thesis addressing nonlinear disturbance observers for marine systems in collaboration with Australia's Defence Science and Technology Group. He graduated in 2016 with dual degrees in Electrical Engineering (First Class Honours) and Mathematics (Distinction).

His research interests include Bayesian methods for system modeling, uncertainty quantification in dynamical systems, and control strategies for marine engineering challenges. Notable achievements include a Conference Young Author Award for work on wave-induced ship motion prediction using Bayesian techniques. He contributes to interdisciplinary projects such as NICCI (Network-Informed Control) exploring multi-technology networks. Current research explores privacy-preserving state estimation in cyberphysical systems and robust change detection mechanisms.

Dr Kennedy’s publications span topics from parametric roll resonance detection to privacy-aware remote control systems, reflecting his expertise in blending engineering principles with advanced mathematical techniques. His work bridges theoretical advancements with real-world applications in maritime safety and autonomous systems.