Hamid Shiri

Dr Hamid Shiri is a Research Scientist in Applied Signal Processing within the Marine Geoscience Group at the National Oceanography Centre. His work focuses on the development of advanced data-driven techniques for analysing Distributed Acoustic Sensing (DAS) measurements along subsea cables and marine infrastructures.

He develops innovative methods that combine signal processing, statistical analysis, and machine learning to advance environmental monitoring, automated subsea cable integrity assessment, and the detection of ocean–infrastructure interactions. His research also addresses the challenges of large-scale DAS datasets, including multi-terabyte field recordings and high-resolution time–space analysis.

Hamid holds a strong background in statistical signal analysis, non-Gaussian noise modelling, and condition monitoring. Before joining NOC, he worked as a Research Fellow at the University of Southampton and completed a Marie Skłodowska-Curie PhD at Wrocław University of Science and Technology, where he specialised in data-driven health-index modelling and predictive maintenance.

At NOC, his current work contributes to emerging DAS applications in marine geoscience, including vessel detection, burial and free-span identification, and the development of scalable signal-processing workflows for field campaigns such as EMEC, SHARC, and OBSEA.