About the author Lisandro Arturo Jimenez Roawas born on 22 September 1991 in Cali, Colombia. His academic journey started in 2009 at Del Valle University, earning a BSc in Civil Engineering in 2014. His undergraduate thesis focused on Structural Health Monitoring (SHM) for dynamic analysis of buildings, for which he received Summa Cum Laude. Upon graduation, he was recognised as the top student in the Engineering Faculty and also received the Roberto Caicedo Douat Award for achieving the highest GPA in Structural Engineering subjects. In 2016, Lisandro carried out his MSc thesis in Civil Engineering at the École Polytechnique Fédérale de Lausanne in Switzerland. There, he participated in a large-scale experimental campaign at the Earthquake Engineering and Structural Dynamics Laboratory. He contributed to research investigating the boundary condition behaviour of single-mesh layer slender reinforced concrete walls under cyclic loads and carried out the modelling and calibration of Finite Element Models to replicate experimental behaviours. In 2017, Lisandro briefly started a second master’s degree at the Università di Bologna in Italy, which he interrupted to move to the Netherlands and start his Engineering Doctorate (EngD) at the University of Twente (UT) in 2018, in the Construction Management and Engineering group. Sponsored by Rijkswaterstaat, his EngD project focused on bridge asset management, employing SHM, Machine Learning, and Data Science to detect global anomalies in bridges. In 2020, Lisandro extended his research domain to the field of Computer Science and embarked on a PhD sponsored by the PrimaVera project, a collaborative research initiative that uses big data and AI to develop predictive maintenance technologies. The project aimed to optimise maintenance timing, reduce downtime, and extend component lifespan, thereby contributing to sustainable and reliable critical infrastructure. He joined the UT’s Formal Methods and Tools group. During his PhD, Lisandro participated in multiple conferences, workshops, and visits all over Europe to enrich his research in the field of Prognostics and Health Management (PHM). His main contributions range from the inference of reliability models to agent-based strategic maintenance. By the end of his PhD in 2024, Lisandro became a Dutch citizen. Lisandro’s ambitions include leading development, advancements, and collaborations to e!ectively make PHM a reality in di!erent industrial domains, including the integration of AI, trustworthy prognostics, and smart maintenance. Outside work, Lisandro enjoys being active in sports such as CrossFit and sharing time with his friends and family.
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