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In November 2025, Peiyuan Zhou successfully defended his PhD thesis in the MANE Department at Rensselaer Polytechnic Institute. His research developed an advanced monitoring method that helps future aircraft structures “feel, think, and react” to damage and changing conditions. By combining smart statistical modeling, regularization, and Bayesian uncertainty quantification, his work makes vibration-based health monitoring more reliable for complex, realistic aerospace components rather than just simple lab specimens. 

We welcome the MEng students who have recently joined our group to work on research projects:
The current MEng students include:


Dimitrije Randjelovic working on Physics-informed machine learning for fatigue and lifing—developing surrogates that predict crack-growth rate and life across diverse geometries, materials, and load spectra with embedded Paris/Walker and fracture-mechanics constraints

 


We are excited to have them on board and look forward to their contributions!

At the International Workshop on Structural Health Monitoring (IWSHM) 2025, Peiyuan Zhou and co-authors Jinhan Ren, James Schure, Shinan Huang, Sazedur Rahman, as well as Professors S. Mishra, J. Samuel, S. Akin and F.

Members of our group had a strong presence at the 15th International Workshop on Structural Health Monitoring (IWSHM 2025) in Stanford, CA, presenting five papers on structural health monitoring, smart metallic structures, multicopter diagnostics, acoustoelasticity, and in-situ monitoring of metal additive manufacturing processes:

At the 15th International Workshop on Structural Health Monitoring (IWSHM 2025) in Stanford, CA, our group hosted a lab booth showcasing ongoing work on intelligent metallic structures, vibration-based diagnostics, multicopter health monitoring, and in-situ sensing for metal additive manufacturing. Visitors had the opportunity to see demos, discuss our recent papers, and explore potential collaborations, further increasing the visibility of our research within the SHM community.