معرفی
Dr. Timothy Rogers is a Senior Lecturer in Mechanical Engineering at the University of Sheffield, affiliated with the Dynamics Research Group (DRG) within the Department of Mechanical Engineering. He holds an MEng and PhD in Mechanical Engineering from the same institution. His research focuses on applying machine learning and Bayesian statistical methods to structural dynamics problems, particularly in nonlinear system identification and Structural Health Monitoring (SHM). His work bridges theoretical advancements in probabilistic modeling and practical applications in aerospace, civil, and mechanical engineering systems.
Education
- MEng in Mechanical Engineering, University of Sheffield
- PhD in Mechanical Engineering, University of Sheffield (thesis: 'Towards Bayesian System Identification: With Application to SHM of Offshore Structures')
Research Interests
Rogers' interests include: Bayesian statistical modeling for structural systems, machine learning for SHM, probabilistic nonlinear system identification, and joint input/state/parameter estimation. His work emphasizes integrating physics-based knowledge with data-driven techniques to improve reliability and efficiency in engineering diagnostics and predictive maintenance.
Advising & Grants
Rogers collaborates on projects funded by industrial and academic partnerships, including work on aircraft modal testing and offshore structure dynamics. He advises on advanced methodologies for vibration-based damage detection and has contributed to frameworks for population-based SHM and risk-informed decision-making.
Labs & Teams
He is part of the Dynamics Research Group (DRG), leading efforts in Bayesian system identification and machine learning applications. His team engages in interdisciplinary projects involving aerospace structures, composite materials, and advanced sensor technologies.
