IIT Annual Academic Report CampaignCourse 2023 - 2024 - English Version
The information available of Dr.D.Jaime Pizarroso Gonzalo 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
| * | Name: | Jaime Pizarroso Gonzalo | | | Category: | Assistant Professor
| | | Degree: | Electromechanical Engineer. Universidad Pontificia Comillas.
Master's Degree in Industrial Engineering (MII) and Master's Degree in Smart Industry (MIC). Universidad Pontificia Comillas. | | | Areas of Interest: | Artificial Intelligence, Machine Learning, Explainable Artificial Intelligence. | | | ICAI Department: | DTC | | | | |
- 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
- 2.1.1.2 Public funding
- 2.1.2 Consultancy and technological support
- 2.1.2.1 Private funding
| * | Abbreviated name: | SantaLucia_App_2024 | | | Project title: | Development of an interactive application for data analysis using neural networks and the neuralsens methodology for interpretability | | | Funding entity: | Cátedra Santalucía de Analytics for Education | | | Start date: | April 2024 | | | End date: | June 2024 | | | Researcher(s): | Jaime Pizarroso Gonzalo, José Portela González | | | Description: | This project is a collaborative initiative proposed by the Instituto de Investigación Tecnológica (IIT) with the Cátedra Santalucía de Analytics for Education.
The project's main goal is to create a functional application designed in R, allowing interactive data analysis. The application will facilitate the understanding of complex datasets through advanced neural network techniques and the NeuralSens interpretability framework. This tool aims to support educational and research purposes, particularly for students and researchers in data science fields.
The application will be distributed among students at Universidad Pontificia Comillas and Cátedra Santalucía, supporting their learning and research activities. It will facilitate advanced data analysis and model interpretability, contributing to the fields of machine learning and data science.
Key Features and Deliverables
- Interactive Analysis: The application will include features for importing data, training linear and neural network models, and performing sensitivity analysis.
- NeuralSens Methodology: Incorporates the NeuralSens methodology for detailed data interpretation and model understanding.
- User Interface: The tool will have a user-friendly interface with components such as a top bar for primary functions, a sidebar for dataset and model management, and a main panel for detailed data views and model summaries.
- Data Import and Preparation: Supports CSV and XLSX file formats for data import, with detailed guides for data preparation to ensure compatibility and ease of use.
- Training and Analysis: Provides functionalities for training both linear and neural network models, with options for advanced configurations like cross-validation and hyperparameter tuning. | | | | |
- 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
- 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
| * | Title: | Analytical Calculation of Partial Derivatives in Deep Neural Networks | | | Author: | Ortiz González, Alonso | | | Supervisor(s): | Jaime Pizarroso Gonzalo | | | | |
- 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)
| * | Subject title: | Master Thesis | | | Lecturer(s): | Jaime Pizarroso Gonzalo, José Portela González | | | | |
- 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)
| * | Subject title: | Master Thesis | | | Lecturer(s): | Jaime Pizarroso Gonzalo, José Portela González | | | | |
- 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
| * | Title: | Explainable Artificial Intelligence (XAI) techniques based on partial derivatives with applications to neural networks | | | Author: | Jaime Pizarroso Gonzalo | | | Supervisor(s): | Antonio Muñoz San Roque and José Portela González | | | Dissertation date: | Diciembre 15 , 2023 | | | | |
- 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
| * | Lecturer(s): | José Portela González, Jaime Pizarroso Gonzalo | | | Course title: | Advanced Machine Learning techniques course | | | Funding entity: | Xfera Móviles, S.A.U. | | | Date: | November-December 2023 | | | | |
- 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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