Rate My Professor Michele Meo

Professor Michele Meo is the Professor of Applied Mechanics in the Aeronautical and Astronautical Engineering Department at the University of Southampton, part of the Faculty of Engineering and Physical Sciences. He acts as the primary contact for the Computational Engineering and Design Group, functioning as its head and overseeing research in computational methods for engineering challenges. His core research specializations are Smart Materials and Structures, Non-Destructive Testing (NDT) and Structural Health Monitoring (SHM), and Impact and Crashworthiness. These interests drive innovations in nonlinear ultrasonic techniques, thermal-wave imaging, wave-based damage detection, and advanced composites for aerospace structures, focusing on improving damage assessment, noise control, and structural safety in high-impact environments such as aircraft and gas turbines.

Professor Meo's academic career includes prior service as Associate Professor in Aerospace Engineering at Cranfield University from January 1997 to December 2005. He possesses a Laurea, MSc, and PhD. His prolific research record features 259 publications on ResearchGate, with 9,294 citations and expertise in acoustic metamaterials, supercapacitors, bio-inspired composites, fatigue testing, and machine learning for impact detection. Select key publications are: "Design of subwavelength wide bandwidth sound absorbers by inverse convolutional neural networks" (Peter Hawes, Marco Boccaccio & Michele Meo, 2025, Applied Acoustics); "A bistable impact resistant sandwich carbon-fibre reinforced core" (Francesco Flora, Marco Boccaccio, Fulvio Pinto & Michele Meo, 2024, Composite Structures); "Dislocation detection of gas turbine materials using a nonlinear ultrasound modulation technique" (Frank Mevissen & Michele Meo, 2023, Mechanical Systems and Signal Processing); "Damage identification during an impact event using the Hilbert-Huang transform of decomposed propagation modes" (Stefano Cuomo, Marco Boccaccio & Michele Meo, 2023, Mechanical Systems and Signal Processing); and "Interlaboratory study assessing the analysis of supercapacitor electrochemistry data" (Jamie W. Gittins et al., 2023, Journal of Power Sources). His contributions have notably influenced advancements in nondestructive evaluation and smart material applications within the engineering community.