Giacomo Barbieri is an Assistant Professor in the Asset Management and Maintenance Engineering Chair at the University of Twente (Netherlands). He earned his bachelor's and master's degrees in Mechanical Engineering (2010 and 2012, respectively) and a Ph.D. in Industrial Innovation Engineering (2016) from the University of Modena and Reggio Emilia. From 2016 to 2023, he served at Universidad de los Andes (Bogot谩, Colombia), initially as an Assistant Professor and later as an Associate Professor, before moving to the Netherlands in 2024. He is an active member of the technical committees of both the International Federation of Automatic Control (IFAC), specifically in 'Manufacturing Plant Control' (TC 5.1), and The Institute of Asset Management (IAM).
Giacomo has a background in industrial automation and digital transformation technologies, which have progressively shaped his research focus in Asset Management, Smart Maintenance, Stakeholder Engagement, and Decision Making. He thrives in transdisciplinary environments, where he applies human-centric and value-based approaches to these technological domains.
Digital twin and predictive maintenance (Lifelong Learning Course, Universidad Cat贸lica de Valparaiso)
SUPERVISED MSC STUDENTS
2024 (University of Twente)
Daan聽Wesselink (Liander)
2023 (Universidad de los Andes)
Cristiam Mateo Santos Ruiz (Empresa de Acueducto y Alcantarillado de Bogot谩) - Innovaci贸n Tecnol贸gica Mediante la Adopci贸n de Smart Contracts en Contrataci贸n P煤blica en la EAAB
Ana Maria Benavides - Metodolog铆a para desarrollar un marco de valor para la toma de decisi贸n en la Gesti贸n de Activos
Adriana Espa帽a (Celsia) - Modelo para el c谩lculo de eficiencia de la unidad de generaci贸n en centrales hidroel茅ctricas
Luis Humberto Guerrero - HydroLab: un M贸dulo para la Investigaci贸n de Estrategias de Fertirrigaci贸n en Hidropon铆a
Maria Camila Polonia - Control de masa con celda de carga para fluidos con diferentes densidades
2022 (Universidad de los Andes)
Edgar Daniel Gomez - A comparison of deep learning thermography-based methods for the state assessment of rolling bearings
Jose Daniel Hernandez - RAM analysis to support maintenance decision-making considering environmental sustainability
Stefano Riga (Politecnico di Milano) - Scheduling for sustainable manufacturing: a methodology proposal
2021 (Universidad de los Andes)
Alfonso Andres Vidal Campo - Evaluaci贸n del FarmBot como banco de pruebas para la formulaci贸n de recomendaciones en el manejo de cultivos
Juan Pablo Gonzalez - Gemelo Digital de Monitoreo para Servicios de Agricultura en Ambiente Controlado
Hussein David Tafur Mu帽oz - An fmea-based methodology for the development of control software reliable to hardware failures
Jesus David Chaux - A Digital Twin Architecture to Optimize Productivity within Controlled Environment Agriculture
Alejandro Mejia - Assessment of the PLC Code generated with the GEMMA-GRAFCET Methodology
Rafael Vigon (Politecnico di Milano) - A Fully Virtual Learning Factory to teach Digital Twins in Manufacturing
2020 (Universidad de los Andes)
Sebastian Roldan Pascualy - Identificaci贸n de caracter铆sticas para la clasificaci贸n del estado de salud de rodamientos de bolas con termograf铆a
Ana Sanchez Londo帽o - XWare: a middleware for prognostics and health management in education
Andrea Capriotti and Alberto Bertuzzi (Politecnico di Milano) - A Virtual Commissioning based Methodology to integrate Digital Twins into Manufacturing Systems
2019 (Universidad de los Andes)
David Zanger (Universidad de Aachen) - Virtual commissioning of a water-filtering module: modelling, control code validation and deployment
2018 (Universidad de los Andes)
Federico Ulloa Rios - Detecci贸n de fallas en maquinaria rotativa: implementaci贸n de una red neuronal convolucional
2017 (Universidad de los Andes)
Sergio Alejandro Naranjo - Comparaci贸n de dos m茅todos de verificaci贸n de software: aplicaci贸n a una m谩quina tostadora de caf茅
SUPERVISED BACHELOR'S STUDENTS
2024 (University of Twente)
Natalia Bueno and聽Zalfa Imtinan (EEMCS, CreaTe)
2016-2023 (Universidad de los Andes)
117 students mainly from the Mechanical Engineering Department
CURRENT PROJECTS
IDLEC (Liander): Enhancing the static and dynamic capacity limits of the existing electricity network in a risk-controlled manner.
R2DATO (ProRail):聽Identifying frameworks and guidelines for developing business cases and deployment strategies for digital technologies in the railway industry.
PRIMAVERA (NWO): Developing a decision-support system to guide the development of predictive maintenance solutions.
CDAG (Celsia): Defining strategies for technology acceptance in the smart maintenance of hydropower plants.