Dr Juan Chiachio-Ruano

Research Associate

Naval Architecture, Ocean and Marine Engineering

Personal statement

Dr. Juan Chiachío-Ruano is a Research Associate in the newly created Offshore Engineering Institute at the University of Strathclyde, Glasgow (UK). He holds a PhD in Structural Engineering by the University of Granada (Spain), an MSc in Structural Engineering, and an MSc in Civil Engineering, both by University of Granada. His research is focused on translating prognostics and reliability methods into the life-cycle analysis of structural and infrastructural systems subjected to in-service degradation using condition monitoring data. Previously to start his academic career in 2010, Dr Juan Chiachío-Ruano worked for four years as a structural engineer and structures team lead in the top consultancy companies in Spain (SENER, and AYESA). In 2010, he started his academic career after being awarded one of the FPU Research Fellowships granted by the Spanish Ministry of Science, the most competitive pre-doctoral research fellowship in Spain. During this time, he has made significant contributions to research areas including Reliability Engineering, Prognostics and Health Management, and Bayesian inverse problems. According to his SciVal data, 80% of his publications are published in the top 10% international journals, 31% of his papers are between the top 10% most cited worldwide, and 69% of his research output is co-authored by researchers in other countries, which reflects his international reputation and the relevance of his research work. In fact, his work has attracted the interest of world-class institutions for collaborative research, like the Prognostics Centre of Excellence of NASA (USA), the California Institute of Technology (Caltech, USA), and the Hamburg University of Technology (Germany).  In his current position at the University of Strathclyde, Dr. Chiachío is extending his previous research background in prognostics and asset management from component/subsystem level to whole-life whole-system level in application to offshore engineering applications.


A knowledge-based prognostics framework for railway track geometry degradation
Chiachío Juan, Chiachío Manuel, Prescott Darren, Andrews John
Reliability Engineering and System Safety Vol 181, pp. 127-141 (2018)
A new paradigm for uncertain knowledge representation by Plausible Petri nets
Chiachío Manuel, Chiachío Juan, Prescott Darren, Andrews John
Information Sciences Vol 453, pp. 323-345 (2018)
Modelling adaptive systems using plausible petri nets
Chiachio J, Chiachio M, Prescott D, Andrews J
REC2018 Papers 8th International Workshop on Reliable Computing, pp. 103-109 (2018)
A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media
Chiachío Juan, Chiachío Manuel, Sankararaman Shankar, Prescott Darren
Transport in Porous Media (2018)
A Bayesian assessment for railway track geometry degradation prognostics
Chiachio-Ruano Juan, Chiachio Ruano Manuel, Prescott Darren, Andrews John
Proceedings of the European Conference of the PHM Society Fourth European Conference of the PHM Society PHM Society European Conference (2018)
A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves
Cantero-Chinchilla Sergio, Chiachío Juan, Chiachío Manuel, Chronopoulos Dimitrios, Jones Arthur
Mechanical Systems and Signal Processing Vol 122, pp. 192-205 (2018)

more publications

Research interests

Reliability and Risk Engineering, Prognostics and Health Management, Structural Health Monitoring, Maintenance Modelling and Asset Management, Bayesian inverse problems, Uncertainty Quantification