Given the multidisciplinary nature of the Ph-D program, a single research line has been adopted, which has been called Industrial Engineering , including a set of fields of knowledge within this area and in which the Ph-D team has a large research experience. From within this set of fields, one may highlight :

• Sustainable Institutions and ODS.
• Mathematical Programming and Simulation in Production and Logistics.
• Computational Statistics and Stochastic Modelling.
• Supply Chain Management.
• Finance and Entrepreneurship.
• Project management and Quality.

List of the last PhD thesis defended:

A Circular Economy Living Lab –Supporting the transition of a university campus towards a circular and regenerative system. David Hidalgo Carvajal. 2024

Contributions to forecasting problems in the electric power market. Shadi Nouhi Tehrani. 2024

Optical Point-of-Care devices. Estimation of the technology transfer of these cutting-edge technologies. María Jesús Pioz Soriano. 2024

Enabling Collaboration for Sustainability Transitions Governance: The Role of Transition Intermediaries in Supporting the Public Sector. Miguel Soberón Mas. 2024

Cultivating Collaboration Capability in Sustainability Transitions. An Exploratory Approach from the Organisational Perspective. Irene Ezquerra Lazaro. 2024

El reto de la digitalización. Implementación de e-learning en la universidad.  Pedro de la Esperanza Garrido Gutiérrez. 2024.

Condiciones para el compromiso organizativo en el contexto de la innovación social digital = Understanding the organisational commitment in the context of digital social innovation. Laura Rodrigo Guijarro. 2023.

Forecasting and operation research applied to healthcare Management. Daniel Bouzon Nagem Assad. 2023

Diseño de un marco común entre metodologías de dirección de proyectos aplicado a proyectos de innovación en sectores tecnológicos e industriales. Jaime Sánchez Gallego. 2023.

Modelo de predicción para mercados de futuros de cripto-activos basado en random forests. Francisco Orte Benedit .2023.

Diseño y aplicación de un sistema de inferencia difusa de Mamdani para el análisis de riesgos de proyectos de I+D del sector de la fabricación aditiva y de la industria minera. Belén María Moreno Cabezalí. 2022

Modelo de predicción para mercados de futuros de cripto-activos basado en Random Forests. Francisco Orte Benedit. 2022