IIT Annual Academic Report CampaignCourse 2022 - 2023 - English Version
The information available of Dr.D.Antonio Muñoz San Roque since September 01, 2022 to August 31, 2023 is showed below. This information will be used to develop the IIT Annual Academic Report and the Comillas Annual Report, so it is very important that it is correct and complete. All fields displayed in each reference must have information, unless otherwise stated (eg "Not Applicable"). Please, complete it. Also make sure the information is displayed in the correct section. If you find any errors or missing information, please send an email by clicking here indicating the section and incorrect or missing information. To send comments/suggestions/bugs... on the website, please click here. To view the Spanish Version, click here. To view the Full Version of the report, click here.
[Expand all | Collapse all] Chapter 1. Organizational structure [ | ]- 1.1 Management
- 1.2 Council
- 1.3 Area coordinators
- 1.4 Scientific advisory board
- 1.5 Academic staff
* | Name: | Antonio Muñoz San Roque | | Category: | Professor | | Degree: | Ph.D. in Industrial Engineering (Comillas)
Electrical Engineer (Comillas) | | Areas of Interest: | Time series forecasting. Machine learning. Application of Artificial Intelligence techniques to the operation and maintenance of industrial processes. Electricity markets analysis and optimal operation. | | ICAI Department: | DEAC | | | |
- 1.6 Associated academic staff
- 1.7 Pre- and postdoctoral fellows
- 1.8 Areas of Research
- 1.8.1 MAC Coordinator
- 1.8.2 REDES Coordinator
- 1.8.3 RYE Coordinator
- 1.8.4 SADSE Coordinator
- 1.8.5 PCI Coordinator
- 1.8.6 ASF Coordinator
- 1.8.7 ASI Coordinator
- 1.8.8 BIO Coordinator
- 1.8.9 SMS Coordinator
- 1.9 Services staff
- 1.9.1 Systems Administrator Staff
- 1.9.2 Administrative Staff
Chapter 2. Research [ | ]- 2.1 Research Projects
- 2.1.1 Research and develop projects
- 2.1.1.1 Private funding
* | Abbreviated name: | HADES_2022 | | Project title: | Development of a deterministic prediction model for residual demand curves in the secondary regulation market | | Funding entity: | Endesa Medios y Sistemas S.L | | Start date: | April 2022 | | End date: | December 2022 | | Researcher(s): | José Portela González, Antonio Muñoz San Roque, Alberto González Sánchez | | Description: | The objective of the proposed collaboration is the development of a deterministic prediction model for residual demand curves in the secondary regulation market. The model will take into account the effect of existing regulatory regions as well as the adaptation to new regulatory changes. | | | | * | Abbreviated name: | CE_AIAM | | Project title: | ENDESA Chair for applications of artificial intelligence to data-driven maintenance | | Funding entity: | Endesa Generación, S.A | | Start date: | January 2023 | | End date: | December 2026 | | Researcher(s): | Miguel Ángel Sanz Bobi, Antonio Muñoz San Roque, Francisco Javier Bellido López, Eugenio Francisco Sánchez Úbeda | | Description: | The main goal of the Chair is to help ENDESA, in particular, and the energy sector in general, to take advantage of the opportunities offered by Artificial Intelligence by generating knowledge and disseminating it to society. Its main objectives are to investigate and share AI applications in the Maintenance and Management of generation assets to facilitate the energy transition towards a long-term sustainable model following the Sustainable Development Goals. | | | | * | Abbreviated name: | ENDESA_PROTECCIONES_2023 | | Project title: | Design and implementation of an algorithm for power line protection under high penetration of renewables | | Funding entity: | Gas y Electricidad Generación S.A. | | Start date: | April 2023 | | End date: | December 2023 | | Researcher(s): | Antonio Muñoz San Roque, Luis Rouco Rodríguez, Lukas Sigrist, José Portela González | | Description: | The objective of this project is the design and implementation of an algorithm for the protection of power lines in conditions of high penetration of RES.
The proposed algorithm is based on the application of Machine Learning techniques for the detection and classification of faults based on a set of fault scenarios obtained both from real records and through simulation. | | | |
- 2.1.1.2 Public funding
* | Abbreviated name: | RETOSCOL-RC4ALL-2020 | | Project title: | RC4ALL: Responsible consumption for all | | Funding entity: | Ministerio de Ciencia e Innovación (MCI), Agencia Estatal de Investigación (AEI) | | Start date: | May 2020 | | End date: | December 2023 | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Antonio Muñoz San Roque, José Portela González, Ignacio Navas Pascual, Francisco Rodríguez Cuenca | | Description: | The main objective of the RC4ALL project (Responsible Consumption for All) is to develop a system that, based on the specific information on consumption per device of a relatively small number of representative customers and complementing it with information from external sources, is capable of generating personalized recommendations that improve the efficiency of consumption for the entire customer base of the company. Machine Learning and Big Data techniques will be used.
Project Retos- Colaboración RTC2019-007380-3 funded by Ministerio de Ciencia e Innovación (MCI) and Agencia Estatal de Investigación (AEI) |
| | | | * | Abbreviated name: | RETOSINV-chronic-IoT-2020 | | Project title: | Development of movement behavior models of complex chronic patients | | Funding entity: | Ministerio de Ciencia e Innovación (MCIN), Agencia Estatal de Investigación (AEI) | | Start date: | June 2020 | | End date: | November 2023 | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Rafael Palacios Hielscher, Antonio Muñoz San Roque, José Portela González, Carlos Rodríguez-Morcillo García, Alejandro Polo Molina | | Description: | The aim of this project, coordinated with Virgen del Rocío University Hospital (HUVR), is to investigate how the deterioration of mobility may reflect changes in the patient's clinical condition, and its degeneration in the domain of integrated care of complex chronic patient.
To fulfill this objective, an IoT infrastructure and information system is developed. Based on the collected data on patients mobility, machine learning techniques are applied to create patterns capable of modeling and characterizing movement in the patients in order to explain aspects of the clinical evolution of patients.
Project PID2019-110747RB-C22/ funded by MCIN/AEI/10.13039/501100011033 |
| | | |
- 2.1.2 Consultancy and technological support
- 2.1.2.1 Private funding
- 2.1.2.2 Public funding
- 2.1.3 Services and analysis projects
- 2.1.3.1 Private funding
- 2.1.3.2 Public funding
- 2.2 Publications
- 2.2.1 Books
- 2.2.2 Chapters in books
- 2.2.3 Papers in Journals
- 2.2.4 Papers in Congress
* | Author(s): | C. Álvarez-Romero, J.A. Rivas-González, C. Jiménez-de-Juan, A. Polo-Molina, E.F. Sánchez-Úbeda, C. Rodríguez-Morcillo, R. Palacios, J. Portela, A. Muñoz, C.L. Parra-Calderón, C. Hernández-Quiles | | Title: | Evaluación de la movilidad de pacientes crónicos complejos mediante dispositivos de seguimiento para su valoración pronóstica | | Type: | Poster | | Congress: | XIX IBiS Researchers Forum | | City: | Seville | | Country: | Spain | | Date: | 15-16 March 2023 | | ISBN: | | | | | * | Author(s): | A. Polo-Molina, E.F. Sánchez-Úbeda, J. Portela, R. Palacios, C. Rodríguez-Morcillo, A. Muñoz, C. Álvarez-Romero, C. Hernández-Quiles | | Title: | Analyzing mobility patterns of complex chronic patients using wearable activity trackers: a machine learning approach | | Type: | Communication | | Congress: | 9th International Conference on Time Series and Forecasting - ITISE 2023 | | City: | Las Palmas de Gran Canaria | | Country: | Spain | | Date: | 12-14 July 2023 | | ISBN: | | | | | * | Author(s): | F. Rodríguez-Cuenca, E.F. Sánchez-Úbeda, J. Portela, A. Muñoz, V. Guizien, A. Veiga, A. Mateo | | Title: | Probability density-based energy-saving recommendations for household refrigerating appliances | | Type: | Communication | | Congress: | 9th International Conference on Time Series and Forecasting - ITISE 2023 | | City: | Las Palmas de Gran Canaria | | Country: | Spain | | Date: | 12-14 July 2023 | | ISBN: | | | | |
- 2.2.5 IIT Technical Documents
- 2.2.6 Other Publications
- 2.3 Software Products
Chapter 3. Teaching [ | ]- 3.1 Supervised Bachelor Theses at IIT
- 3.1.1 Bachelor's Degree in Engineering for Industrial Technologies
- 3.1.2 Bachelor's Degree in Engineering in Telecommunications Technologies
- 3.2 Postgraduate Teaching
- 3.2.1 Master Courses
- 3.2.1.1 Official Master's Degree in Industrial Engineering (MII)
- 3.2.1.2 Official Master's Degree in Telecommunications Engineering (MIT)
- 3.2.1.3 Official Master's Degree in the Electric Power Industry (MEPI)
- 3.2.1.4 Master in Railway Systems (MSF)
- 3.2.1.5 Master in Project, Construction and Maintenance of High Voltage Electrical Transmission (On-line)
- 3.2.1.6 Master in Fire Protection Engineering (MIPCI)
- 3.2.1.7 MBA in the Global Energy Industry
- 3.2.1.8 Master's Degree in Smart Industry (MIC)
- 3.2.1.9 Master’s Degree in International Industrial Project Management
- 3.2.1.10 Master in Electricity Generation. Promotion, Technology and Operation (MGE) (On-line)
- 3.2.1.11 Master's Degree in Big Data Technologies and Advanced Analytics (MBD)
- 3.2.1.12 Master's Degree in Management Solutions (MCN)
- 3.2.1.13 Master's Degree in Smart Grids (MSG)
- 3.2.1.14 Master in Biomechanics Applied to Damage Assessment; Advanced Physical Therapy Techniques
- 3.2.1.15 Master in Mobility and Safety Engineering (MMS)
- 3.2.1.16 Master in Electrical Technology (MTE)
- 3.2.1.16 Master in smart agricultural industry and sustainability
- 3.2.1.17 Official Master's Degree in Biomechanics and Sports Physiotherapy
- 3.2.2 Master Theses supervised at IIT
- 3.2.2.1 Official Master's Degree in Industrial Engineering (MII)
- 3.2.2.2 Official Master's Degree in Telecommunications Engineering (MIT)
- 3.2.2.3 Official Master's Degree in the Electric Power Industry (MEPI)
- 3.2.2.4 Erasmus Mundus International Master in Economics and Management of Network Industries (EMIN)
- 3.2.2.5 Master in Railway Systems (MSF)
- 3.2.2.6 MBA in the Global Energy Industry
- 3.2.2.7 Master in Fire Protection Engineering (MIPCI)
- 3.2.2.8 Master's Degree in Smart Industry (MIC)
- 3.2.2.9 Master’s Degree in International Industrial Project Management
- 3.2.2.10 Master's Degree in Big Data Technologies and Advanced Analytics (MBD)
- 3.2.2.11 Master in Electricity Generation. Promotion, Technology and Operation (MGE) (On-line)
- 3.2.2.12 Master's Degree in Management Solutions (MCN)
- 3.2.2.13 Master in Project, Construction and Maintenance of High Voltage Electrical Transmission (On-line)
- 3.2.2.15 Official Master's Degree in Engineering Research (MIMSI)
- 3.2.2.16 Master's Degree in Smart Grids (MSG)
- 3.2.2.17 Master in Biomechanics Applied to Damage Assessment; Advanced Physical Therapy Techniques
- 3.2.2.18 Master in Mobility and Safety Engineering (MMS)
- 3.2.2.19 Master in Electrical Technology (MTE)
- 3.2.2.20 Official Master's Degree in Biomechanics and Sports Physiotherapy
- 3.2.2.21 Master in Environment and Energy Transition
- 3.3 Other Academic Activities
- 3.3.1 External Master Courses
- 3.3.2 Supervised Master Theses in other Universities
- 3.3.3 Developed Master Theses in other Universities
Chapter 4. Doctorate [ | ]- 4.1 ICAI Engineers' Association PhD Scholarship
- 4.2 Training complements
- 4.3 Training activities
- 4.4 Doctoral Theses
- 4.4.1 Comillas Submitted Theses
- 4.4.2 Submitted Theses in other Universities
- 4.4.3 Comillas Ongoing Theses
* | Title: | Contribuciones al análisis y la previsión de los precios del petróleo | | Author: | Pedro Moreno Alonso | | Supervisor(s): | Antonio Muñoz San Roque | | | | * | Title: | Explainable Artificial Intelligence (XAI) Techniques based on Partial Derivatives | | Author: | Jaime Pizarroso Gonzalo | | Supervisor(s): | José Portela González and Antonio Muñoz San Roque | | | |
Chapter 5. Other Activities [ | ]- 5.1 EES-UETP
- 5.2 International Exchanges
- 5.3 Visiting professors
- 5.4 Visiting students
- 5.5 Courses offered and coordinated to external companies and institutions
- 5.6 Conferences, Seminars, Roundtables and Workshops Contributions
* | Lecturer(s): | David Alfaya Sánchez, José Portela González, Antonio Muñoz San Roque | | Title: | Advances in Machine Learning | | Event: | Seminario de Investigación GIIDA | | Funding entity: | Grupo de Investigación en Innovación Docente y Analytics - GIIDA. Universidad Pontificia Comillas | | Type: | Seminar | | | |
- 5.7 Congress, Seminars and Journals Organization
- 5.8 Other Academic Activities Organization
- 5.9 Other Activities
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