Departament d'Enginyeria Elèctrica, Electrònica i Automàtica

La Universitat de Girona té més de 15.000 estudiants i 1.400 professors. Ofereix uns 50 estudis de grau i més de 20 màsters. S’organitza en 9 centres docents, 1 Escola de Doctorat, 6 centres adscrits. L’activitat de recerca es du a terme en 24 departaments, 12 instituts de recerca i més de 40 càtedres, a més d’un centenar de grups de recerca especialitzat. Té la seu a la ciutat de Girona i s’integra en el sistema d’universitats públiques catalanes.

També trobareu les tesis recol·lectades al repositori DUGi .


Si sou doctor o doctora de la Universitat de Girona i voleu publicar la vostra tesi a TDX, contacteu amb tdx@udg.edu. Per a més informació consulteu les preguntes més freqüents.

Recent Submissions

Reinforcement learning for bolus insulin dosing for people with type 1 diabetes 

Ahmad, Sayyar (Date of defense: 2024-01-18)

Type 1 Diabetes (T1D) is a chronic metabolic disorder caused by destruction of the insulin producing beta cells in the islets of Langerhans within the pancreas due to an autoimmune reaction. T1D is distinguished by elevated ...

Modelling of electric vehicle user profiles for flexibility management and charging infrastructure planning 

Cañigueral Maurici, Marc (Date of defense: 2023-10-10)

The transition to electric mobility is facing multiple challenges, usually associated with the roll-out of the charging infrastructure. On one hand, cities must develop a charging infrastructure that meets the user needs ...

Predicción probabilística de estados glucémicos para pacientes con diabetes tipo 1 mediante el análisis de datos composicionales 

Cabrera Tejera, Alvis (Date of defense: 2023-09-20)

Diabetes mellitus (DM) is a chronic disease that affects a large number of people worldwide, making it a global pandemic. Type 1 diabetes (T1D) accounts for approximately 10 % of all cases. It is characterized by autoimmune ...

Data-driven models for type 1 diabetes using generative deep learning 

Mujahid, Omer (Date of defense: 2023-09-19)

Modeling biological systems has always been challenging given the complexity of the processes involved in them. Experts have been employing physiological models to approximate the dynamics of biological systems; however, ...

Desarrollo de algoritmos de control para terapia MDI en pacientes con diabetes tipo 1 

Estremera Toledo, Ernesto (Date of defense: 2023-07-18)

Diabetes Mellitus (DM) is considered one of the fastest-growing global health emergencies in the XXI century. According to the World Health Organization, it was estimated in 2021 that 537 million people were suffering from ...

Método para descubrir patrones espacio-temporales de comportamiento de usuarios eléctricos utilizando herramientas de aprendizaje automático 

Flor Ambrosi, Mario Alberto (Date of defense: 2021-10-27)

This research presents a novel approach to define geographic areas with typical electricity consumption profiles from smart meter records, using machine learning and spatial analysis methods. Distribution system operators ...

Efficient sequential and temporal pattern mining 

Mordvanyuk, Natalia (Date of defense: 2021-10-13)

The contributions of the present thesis are in the domain of Pattern Mining and Knowledge Discovery, being of particular relevance for the sequential pattern mining and time-interval related pattern mining fields. In ...

Estudi, desenvolupament i validació d'eines avançades per a la gestió de la diabetis 

Parcerisas Albés, Adrià (Date of defense: 2021-07-13)

Diabetes mellitus (DM) is a chronic disease characterized by the body's inability to produce the necessary amount of insulin to regulate blood glucose (BG) levels. Most cases occur due to a destruction of the pancreatic ...

Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems 

Souto, Laiz (Date of defense: 2021-01-15)

This thesis presents the study and development of distinct data-driven techniques to support event detection, fault location, and resilience assessment towards enhancements in power systems. It is divided in three main ...

Robust and fault-tolerant strategies for controlling blood glucose in patients with type 1 diabetes 

Beneyto Tantiña, Aleix (Date of defense: 2020-12-02)

Type 1 diabetes is a serious disease that must be monitored and controlled artificially by supplying exogenous insulin to the body. The artificial pancreas (AP) is a closed-loop system that resulted from integrating an ...

Multivariate statistical modelling and monitoring of smart buildings 

Burgas Nadal, Llorenç (Date of defense: 2019-11-22)

In order to reduce mismatches between real and expected consumption, this thesis explores the use of PCA (Principal Component Analysis) as a modelling tool for buildings. PCA is a statistical technique that allows complex ...

Reducción de barreras de adopción de criptomonedas: innovación tecnológica en los procesos de validación de transacciones 

Carrillo Peña, Paulo Nicolás (Date of defense: 2019-07-10)

This research proposes a solution for the reduction of part of the aforementioned barriers, through the design of the consensus protocol called Proof of Reputation (PoR) that is based on the Blockchain technology of Ethereum, ...

Condition assessment of patients with Type 1 diabetes using compositional data analysis 

Biagi, Lyvia (Date of defense: 2019-07-09)

Type 1 Diabetes Mellitus (T1DM) is a chronic disease that leads to absolute insulin deficiency. People with T1DM need exogenous insulin to maintain glucose at proper levels. Achieving optimal glycemic control is a major ...

Development and validation of strategies to mitigate the risk of hypoglycemic events in type 1 diabetes mellitus 

Bertachi, Arthur Hirata (Date of defense: 2019-07-08)

Type 1 diabetes mellitus (T1DM) is a chronic condition resulting from the destruction of insulin-producing pancreatic beta-cells due to an autoimmune process that may occur at any age, but tends to develop in childhood and ...

Forecasting and decision support for type 1 diabetes insulin therapy using machine learning 

Oviedo Castillo, Silvia (Date of defense: 2019-04-09)

Insulin therapy for Type 1 Diabetes (T1D) has several ramifications with different degrees of automation. The advances in sensors and monitoring devices have led to an increasing availability of data. Additionally, machine ...

Novel methods for the efficacy and safety in the artificial pancreas intended for domiciliary use 

Ramkissoon, Charrise Mary (Date of defense: 2019-03-07)

Type 1 diabetes (T1D) is an autoimmune disease that targets the insulin producing β-cells in the pancreas that results in chronically elevated blood glucose (BG) levels and requires lifelong insulin-replacement therapy. ...

Foundations of uncertainty management for text-based sentiment prediction 

Hossayni, Sayyed Ali (Date of defense: 2018-07-27)

Analyzing the sentiment of Social Networks users is an attractive task, well-covered by the Sentiment Analysis research communities. Alongside, predicting the rating/opinion of users in Social Networks or e-commerce platforms ...

Data-driven models for building energy efficiency monitoring 

Massana i Raurich, Joaquim (Date of defense: 2018-02-02)

Nowadays, energy is absolutely necessary all over the world. Taking into account the advantages that it presents in transport and the needs of homes and industry, energy is transformed into electricity. Bearing in mind ...

Decision support framework for space-use optimization and arrangement of public services 

Rusek, Robert (Date of defense: 2017-05-24)

The thesis concentrates particularly on how to enhance space-use in the case of public facilities. This issue has been approached by repurposing existing facilities and introducing additional services, thereby creating ...

Multi-attribute auctions: application to workflow management systems 

Pla Planas, Albert (Date of defense: 2014-04-25)

Resource and task allocation for workflows poses an allocation problem in which several attributes may be involved (economic cost, delivery time, CO2 emissions...), therefore, it must be treated from a multi-criteria ...

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