Campaña de la Memoria Académica Anual del IITCurso 2023 - 2024 - Versión en Inglés
A continuación se muestra la información disponible de D.Alejandro Polo Molina en el peridodo de tiempo desde el 1 de septiembre de 2023 hasta el 31 de agosto de 2024. Esta información se va a emplear para elaborar la Memoria Académica Anual del IIT, la Memoria de Investigación de Comillas y tu Curriculum Vitae, por lo que es muy importante que sea correcta y esté completa. Todos los campos que se muestran en cada referencia deben tener información, a menos que se indique lo contrario (p.ej. "No aplica"). Por favor, complétala. Comprueba también que la información se muestra en el apartado correcto. Si detectas cualquier error o falta de información, por favor, envía un email pinchando aquí indicando el apartado y la información errónea o faltante. Para enviar comentarios/sugerencias/errores... sobre esta página web, por favor haz clic aquí. Para ver la Versión en Español, haz clic aquí. Para ver la Versión Completa de la memoria, haz clic aquí.
[Expandir todo | Contraer todo] Chapter 1. Organizational structure [ |  ]- 1.1 Management
- 1.2 Council
- 1.3 Area coordinators
- 1.4 Scientific advisory board
- 1.5 Academic staff
- 1.6 Associated academic staff
- 1.7 Pre- and postdoctoral fellows
| * | Name: | Alejandro Polo Molina | | | Degree: | Master in Big Data & Visual Analytics. Universidad Internacional de La Rioja.
Master in Big Data & Advanced Analytics. Universidad Pontificia Comillas.
Degree in Mathematics. Universidad de Granada. | | | | |
- 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: | INNOMERICS_ATMOSPHERE_2023 | | | Project title: | ATMOSPHERE. New methodologies for the storage, generation and safety of green hydrogen plants | | | Funding entity: | Innomerics S.L | | | Start date: | January 2023 | | | End date: | June 2025 | | | Researcher(s): | José Portela González, Alejandro Polo Molina | | | Description: | The project consists in the construction of a digital twin of a green hydrogen production plant and its validation with real operation data. IIT contributes in the development of the library of mathematical models representative of the different elements that constitute an industrial green hydrogen production plant and in the subsequent integration of these models with scientific machine learning algorithms, in order to merge models based on physical equations with operational data using machine learning techniques.
In addition, IIT approaches the definition of the input data for the design of heat networks to take advantage of the waste heat from hydrogen production plants, as well as in their storage format and in the research of the algorithms for the calculation of the necessary models.
Project of the Science and Innovation Missions Program 2022 of the State Program to Catalyze Innovation and Business Leadership of the State Plan for Scientific Research and Innovation 2021-2023 within the framework of the Recovery, Transformation and Resilience Plan financed by the Ministry of Science and Innovation (MIG-202210 | | | | | | * | Abbreviated name: | HADES_2023 | | | Project title: | Development of a functional time series model for forecasting residual demand curves in the Spanish day-ahead market | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | September 2023 | | | End date: | December 2023 | | | Researcher(s): | José Portela González, Antonio Muñoz San Roque, Alejandro Polo Molina | | | Description: | The aim of the proposed collaboration is the development and implementation of a deterministic prediction model for residual demand curves in the day-ahead market. The model is a functional time series prediction model specifically designed for curve predictions in the market, taking into account the impact of the most relevant explanatory variables, as well as the temporal dynamics of the offers. | | | | |
- 2.1.1.2 Public funding
| * | 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 
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- 2.1.2 Consultancy and technological support
- 2.1.2.1 Private funding
| * | Abbreviated name: | HADES_KT_MD_2023 | | | Project title: | Migration of the residual demand curve prediction model in the day ahead market.to the Cloud environment | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | June 2023 | | | End date: | September 2023 | | | Researcher(s): | José Portela González, Alejandro Polo Molina | | | Description: | The main objective of this project is to migrate the residual demand curve forecasting model in the Spanish day-ahead market to the cloud environment. Taking as inputs different variables of the electricity market, the model applies dimension reduction techniques together with regression models to estimate the curves. | | | | |
- 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
| * | Author(s): | C. Álvarez-Romero, A. Polo-Molina, E.F. Sánchez-Úbeda, C. Jiménez-de-Juan, M.P. Cuadri-Benitez, J.A. Rivas-González, J. Portela, R. Palacios, C. Rodríguez-Morcillo, A. Muñoz, C.L. Parra-Calderón, M.D. Nieto-Martin, M. Ollero-Baturone, C. Hernández-Quiles | | | Title: | Machine learning–based prediction of changes in the clinical condition of patients with complex chronic diseases: 2-phase pilot prospective single-center observational study | | | Journal: | JMIR Formative Research | | | Vol & Num: | vol. 8, nº. 1 | | | Pages: | e52344-1-e52344-13 | | | ISSN: | 2561-326X | | | Publication date: | April 2024/December 2024 | | | | |
- 2.2.4 Papers in Congress
- 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
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
- 5.7 Congress, Seminars and Journals Organization
- 5.8 Other Academic Activities Organization
- 5.9 Other Activities
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