Outstanding Thesis Awards. 2019-2020 Award Recipients
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- Outstanding Thesis Awards. 2019-2020 Award Recipients
Ph.D. in Materials Science and Engineering
Pedro Gálvez Villarino
Aplicación de la tecnología de adhesivos en estructuras multimaterial: empleo de adhesivos tenaces
Ana Mora Boza
Development of new bioactive systems for regenerative medicine using 3D printing and microfluidic technologies
Carmen de la Torre Gamarra
Additive-free thick Li4Ti5O12 and LiFePO4 electrodes for high energy density lithium-ion batteries
Ph.D. in Computer Science and Technology
José Carlos Pulido Pascual
Autonomous socially assistive robotics in pediatric clinical practice
Ph.D. in Law
Carmen Camblor de Echanove
Estado de cultura e intervención en el mercado del arte
Two out of three awards have been declared void by the Evaluation Committee.
Ph.D. in Library Science: Archives and Libraries in the Digital Environment
Núria Bautista Puig
Unveiling the path towards sustainability: scientific interest at HEIs from a scientometric approach in the period 2008-2017
Ph.D. in Business and Finance | Business and Quantitative Methods
Luciana María Orozco Ruiz
Three essays on empirical financial accounting
Ph.D. in Advanced Studies in Human Rights
Alessandro Di Rosa
Hate speech e performatività: riflessioni filosofico-giuridiche a partire da due teorie della libertà e dei diritti
Ximena María Torres Sánchez
Los Derechos Fundamentales y su aporte a la equidad de género en el Derecho Ecuatoriano
Ph.D. in Economic History
Christopher David Absell
The bittersweet century: slavery, tariffs and Brazilian export growth during the nineteenth century
Ph.D. in Humanities
José Carlos López Gómez
El desvanecimiento del politeísmo romano en Hispania: transformaciones religiosas en el siglo III
Ph.D. in Electrical Engineering, Electronics and Automation
Guillermo Asín Prieto
Bioinspired robotic rehabilitation tool for lower limb motor learning after stroke
Oscar Elías Bonilla Manrique
Desarrollo de aplicaciones basadas en técnicas espectroscópicas y fuentes multimodo para la detección y caracterización de sustancias peligrosas en aplicaciones industriales
Edwin Daniel Oña Simbaña
A novel framework for upper limb rehabilitation using automated and robotic systems
Ph.D. in Mechanical Engineering, Electronics and Automation
Sara Garzón Hernández
Connecting 3D printing parameters and mechanical properties of FDM polymers: experiments and modelling
Ph.D. in Telematic Engineering
Dario Bega
Deep Learning solutions for next generation slicing-aware mobile networks
Pedro Manuel Moreno Marcos
Analítica del aprendizaje para la predicción en escenarios educativos heterogéneos
Ph.D. in Fluid Mechanics
Fernando Veiga López
Flame propagation in narrow channels
