IIT Annual Academic Report CampaignCourse 2023 - 2024 - English Version
The information available of D.Juan Luis Gómez González since September 01, 2023 to August 31, 2024 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
- 1.6 Associated academic staff
- 1.7 Pre- and postdoctoral fellows
* | Name: | Juan Luis Gómez González | | Degree: | Bachelor's degree in Physics. University of Seville.
Master´s degree in Physics of Complex Systems. University of the Balearic Islands. | | | |
- 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
- 2.1.1.2 Public funding
* | Abbreviated name: | PROBCOMPLEX | | Project title: | Probabilistic modelling of complex systems with uncertainty: from molecules to human interactions | | Funding entity: | Ministerio de Ciencia de Innovación (MCI) / Agencia Estatal de Investigación (AEI) | | Start date: | September 2023 | | End date: | August 2026 | | Researcher(s): | Mario Castro Ponce, Juan Luis Gómez González, Jaime Pérez Sánchez | | Description: | Some of the most exciting phenomena that have aroused scientific curiosity in recent decades (such as genomics, the emergence of pandemics, the collaborative economy, or the immune response to a pathogen) are collective phenomena out of equilibrium and result from the interactions of simple basic units. In these systems converge (although to different degrees) a set of similar problems common to Complexity science: they occur at different scales (many of them unobservable), they cannot be explained by knowledge of the essential components, and, finally, they are fluctuating, and uncertainty cannot be controlled experimentally. Although many of these problems have already been successfully addressed in recent years, pursuing a unifying theory that is universally valid in all situations is unrealistic. While some patterns can be transferred from one field to another, it is imprecise to generalize from pure metaphor to the quantitative, systematic, and rigorous scientific analysis that characterizes physics. However, it is possible to unify the methodology by considering the specific knowledge of the problem. The novelty of this project is to focus on the universality of the probabilistic description of uncertainty to systematically model each problem using the language of probability. Specifically, using Bayes' Theorem to capture the particular mechanism and the evolution of uncertainty. In the case of physicochemical phenomena, this is reduced to the probabilistic inference of the model parameters. However, as microscopic knowledge of the problem becomes less detailed, the weight of probabilistic modeling becomes more important. In particular, we propose to study diverse systems, from the physics of vapor reservoirs (which gives rise to fractal surfaces) to the dynamics of a sharing economy system, where modeling is based on the maximum entropy principle to determine the variability of mobility patterns in a bike-sharing system, Other examples are epidemiology or immunology. We combine Langevin equations and Markov chains to, through stochasticity, integrate experimentally unobservable degrees of freedom, again described by probability distributions compatible with empirical evidence. In summary, we propose a theoretical framework with uncertainty at the heart of the problem. However, we illustrate it (in the absence of genuinely universal models) using examples from various disciplines. The project team has established expertise in these problems to achieve the project objectives. We also introduce machine learning methodology to analyze experimental data and use it to generate new hypotheses. The project's ultimate goal is to realize models that can help to contrast alternative hypotheses of a problem and help, with the help of experiments, to falsify those contradictory to them. | | | |
- 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
* | Author(s): | J.L. Gómez, A. Cantizano, R. Caro, M. Castro | | Title: | Leveraging national forestry data repositories to advocate wildfire modeling towards simulation-driven risk assessment | | Journal: | Ecological Indicators | | Vol & Num: | vol. 158 | | Pages: | 111306-1-111306-15 | | ISSN: | 1470-160X | | Publication date: | December 2023/January 2024 | | | |
- 2.2.4 Papers in Congress
* | Author(s): | J.L. Gómez, E. Marcoulaki, M. Konstantinidou, A. Cantizano, R. Caro, M. Castro | | Title: | Optimization of sensor networks for the detection of wildfires leading to natural and natech disasters | | Type: | Communication | | Congress: | 32nd Annual Conference of the Society for Risk Analysis Europe - SRA-E 2024 | | City: | Athens | | Country: | Greece | | Date: | 02-05 June 2024 | | ISBN: | | | | | * | Author(s): | J.L. Gómez, E. Marcoulaki, M. Konstantinidou, A. Cantizano, R. Caro, M. Castro | | Title: | Sensor networks optimization for rapid detection of wildfires leading to Na-Tech disasters | | Type: | Communication | | Congress: | 8th International Symposium on Natural Hazard-Triggered Technological Accidents - Natech 2024 | | City: | Trondheim | | Country: | Norway | | Date: | 01-02 July 2024 | | 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
Chapter 5. Other Activities [ | ]- 5.1 EES-UETP
- 5.2 International Exchanges
* | Name: | Juan Luis Gómez González | | Department: | Systems Reliability and Industrial Safety Laboratory | | University: | Institute of Nuclear and Radiological Sicneces and Technology, Energy and Safety (INRASTES) | | City: | Agia Paraskevi | | Country: | Greece | | Period of stay: | September-December 2023 | | Otra información: | | | | |
- 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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