Prof.Dr.Jesús Gil Ruiz

Prof.Dr.Jesús Gil Ruiz

Madrid, Community of Madrid, Spain
30K followers 500+ connections

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About

🚀 Prof. Jesús Gil Ruiz, a results-driven leader with 18 years of experience leading…

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Activity

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Experience

  • PROJENER.AI Graphic

    PROJENER.AI

    Madrid, Comunidad de Madrid, España

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    Madrid, Comunidad de Madrid, España

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    Madrid, Comunidad de Madrid, España

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    Madrid, Comunidad de Madrid, España

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    Algeciras, Andalucía, España

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    Madrid, Comunidad de Madrid, España

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    Madrid, Comunidad de Madrid, España

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    Madrid, Comunidad de Madrid, España

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    Madrid y alrededores, España

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    Madrid, Comunidad de Madrid, España

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    Madrid, Comunidad de Madrid, España

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    Bogotá, Distrito Capital, Colombia

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    Miami, Florida, Estados Unidos

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    Madrid, Comunidad de Madrid, España

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    Tres Cantos

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    Algeciras y alrededores, España

Education

  • Massachusetts Institute of Technology Graphic

    Massachusetts Institute of Technology

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    https://emeritus.org/universities/mit-sloan/

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    Researcher of the artificial intelligence research line applied to industrial projects.
    Before joining UNIR, I spent more than 6 years at the University of Cádiz (UCA) as a doctoral researcher in research projects. I am currently obtaining my PhD in Computer Science with an expected date that will be in June 2020. Currently has published 2 research articles related to my thesis, these articles will be published in three journals.
    Research papers, articles and publications:
    • PhD…

    Researcher of the artificial intelligence research line applied to industrial projects.
    Before joining UNIR, I spent more than 6 years at the University of Cádiz (UCA) as a doctoral researcher in research projects. I am currently obtaining my PhD in Computer Science with an expected date that will be in June 2020. Currently has published 2 research articles related to my thesis, these articles will be published in three journals.
    Research papers, articles and publications:
    • PhD Thesis: Management and construction of a photovoltaic plant applying Artificial Intelligence.
    • Articles: "Current state of artificial intelligence in project management".
    "Optimization of the planning of a 330 MW photovoltaic plant applying artificial intelligence".

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    https://emeritus.org/universities/

  • Double degree from EAE Business School and the University of Barcelona

  • Double degree from EAE Business School and the University of Barcelona

  • Double degree from EAE Business School and the University of Barcelona

  • Double degree from EAE Business School and the University of Barcelona

  • Implementation of the PMP methodology to the “Cauchari Solar” 330MW photovoltaic plant

  • PFC: Pedestrian Bridge Fisterra avenue (LA Coruña)

  • Final project:Design and construction, the drive system and elevation of a container gantry crane.



  • Final project: Design of a three phase transformer of 20/25 MVA ONAN / ONAF

    Rating: 8.0

  • Activities and Societies: (60 ETCS)

  • Activities and Societies: (60 ETCS)

  • Double degree issued by INESEM and by the Antonio de Nebrija University

  • Activities and Societies: (60 ETCS)

  • Double degree issued by INESEM and by the Antonio de Nebrija University

  • The objective of this program is to provide managers and executives the knowledge of the skills and abilities to improve interaction with others, be your own team, customers, suppliers, social partners, etc..

    In this master board protocol techniques, strategies and skills of communication and negotiation, how it works and how a leader manages equipment, modern management techniques and social skills for personal achievement. Also study models emotional intelligence and coaching both are…

    The objective of this program is to provide managers and executives the knowledge of the skills and abilities to improve interaction with others, be your own team, customers, suppliers, social partners, etc..

    In this master board protocol techniques, strategies and skills of communication and negotiation, how it works and how a leader manages equipment, modern management techniques and social skills for personal achievement. Also study models emotional intelligence and coaching both are influencing the current management.

  • Nota: Sobresaliente

  • Master in technical higher occupational risk prevention (800 hours)
    The 3 specialties:
    -Safety
    -Hygiene
    -Ergonomics

    Master in industrial quality (300 hours)

    Master in Environmental management(300h)

    Nota: Sobresaliente

  • Nota: Sobresaliente

  • Nota: Sobresaliente

Licenses & Certifications

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Publications

  • Hybrid Machine Learning Techniques in the Management of Harmful Algal Blooms Impact

    Computers and Electronics in Agriculture

    Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filter feeders, they can accumulate high concentrations of marine biotoxins in their tissues. To avoid the risk to human consumption, harvesting is prohibited when toxicity is detected. At present, the closure of production areas is based on expert knowledge and the existence of a predictive model would help when…

    Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filter feeders, they can accumulate high concentrations of marine biotoxins in their tissues. To avoid the risk to human consumption, harvesting is prohibited when toxicity is detected. At present, the closure of production areas is based on expert knowledge and the existence of a predictive model would help when conditions are complex and sampling is not possible. Although the concentration of toxin in meat is the method most commonly used by experts in the control of shellfish production areas, it is rarely used as a target by automatic prediction models. This is largely due to the irregularity of the data due to the established sampling programs. As an alternative, the activity status of production areas has been proposed as a target variable based on whether mollusc meat has a toxicity level below or above the legal limit. This new option is the most similar to the actual functioning of the control of shellfish production areas. For this purpose, we have made a comparison between hybrid machine learning models like Neural-Network-Adding Bootstrap (BAGNET) and Discriminative Nearest Neighbor Classification (SVM-KNN) when estimating the state of production areas. The study has been carried out in several estuaries with different levels of complexity in the episodes of algal blooms to demonstrate the generalization capacity of the models in bloom detection. As a result, we could observe that, with an average recall value of 93.41% and without dropping below 90% in any of the estuaries, BAGNET outperforms the other models both in terms of results and robustness.

    Other authors
    See publication

  • Optimization of Recommender Systems Using Particle Swarms

    Engineering

    Background:
    ecommender systems are one of the most widely used technologies by electronic businesses and internet applications as part of their strategies to improve customer experiences and boost sales. Recommender systems aim to suggest content based on its characteristics and on user preferences. The best recommender systems are able to deliver recommendations in the shortest possible time and with the least possible number of errors, which is challenging when working with large volumes…

    Background:
    ecommender systems are one of the most widely used technologies by electronic businesses and internet applications as part of their strategies to improve customer experiences and boost sales. Recommender systems aim to suggest content based on its characteristics and on user preferences. The best recommender systems are able to deliver recommendations in the shortest possible time and with the least possible number of errors, which is challenging when working with large volumes of data.
    Method:
    This article presents a novel technique to optimize recommender systems using particle swarm algorithms. The objective of the selected genetic algorithm is to find the best hyperparameters that minimize the difference between the expected values and those obtained by the recommender system.
    Results:
    The algorithm demonstrates viability given the results obtained, highlighting its simple implementation and the minimal and easily attainable computational resources necessary for its execution.
    Conclusions:
    It was possible to develop an algorithm using the most convenient properties of particle swarms in order to optimize recommender systems, thus achieving the ideal behavior for its implementation in the proposed scenario.

    See publication

  • PLANNING AND MANAGEMENT OF PHOTOVOLTAIC PLANTS PROJECTS BY ARTIFICIAL INTELLIGENCE.

    25th International Congress on Project Management and Engineering

    Las energías renovables han tenido un crecimiento exponencial en los últimos años como queda reflejado por la agencia internacional de energía (AIE), según sus previsiones, la participación de las renovables en el suministro eléctrico pasará del 26% de 2018 al 44% en 2040. Actualmente la toma de decisiones en dirección y gestión de proyectos sigue siendo por juicio de expertos ( en base a la experiencia), y esto genera mucha incertidumbre en el desarrollo de los proyectos, derivando muchos de…

    Las energías renovables han tenido un crecimiento exponencial en los últimos años como queda reflejado por la agencia internacional de energía (AIE), según sus previsiones, la participación de las renovables en el suministro eléctrico pasará del 26% de 2018 al 44% en 2040. Actualmente la toma de decisiones en dirección y gestión de proyectos sigue siendo por juicio de expertos ( en base a la experiencia), y esto genera mucha incertidumbre en el desarrollo de los proyectos, derivando muchos de ellos en un fracaso o en un éxito parcial. La inteligencia Artificial es el futuro de la dirección y gestión de proyectos, esta investigación abre el camino hacia la automatización de dirección de proyectos por IA, y en concreto, en proyectos fotovoltaicos. Se presenta una Red neuronal híbrida difusa evolutiva (EFHNN), que tendrá la capacidad de realizar planificaciones de proyectos de plantas fotovoltaicas, dicha red se habrá entrenado con un total de 15 planificaciones.

    Other authors
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  • The application of artificial intelligence in project management research: An overview.

    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE (IJIMAI)

    The field of artificial intelligence is currently experiencing relentless growth, with innumerable models emerging in the research and development phases across various fields, including science, finance, and engineering. In this work, the authors review a large number of learning techniques aimed at project management. The analysis is largely focused on hybrid systems, which present computational models of blended learning techniques. At present, these models are at a very early stage and…

    The field of artificial intelligence is currently experiencing relentless growth, with innumerable models emerging in the research and development phases across various fields, including science, finance, and engineering. In this work, the authors review a large number of learning techniques aimed at project management. The analysis is largely focused on hybrid systems, which present computational models of blended learning techniques. At present, these models are at a very early stage and major efforts in terms of development is required within the scientific community. In addition, we provide a classification of all the areas within project management and the learning techniques that are used in each, presenting a brief study of the different artificial intelligence techniques used today and the areas of project management in which agents are being applied. This work should serve as a starting point for researchers who wish to work in the exciting world of artificial intelligence in relation to project leadership and management.

    DOI: 10.9781/ijimai.2020.12.003

    Other authors
    See publication

  • Project of main power mechanisms of mobile gantry crane carrying 60 ton containers

    Cadiz University

    This project deals with the calculation and design of the different high-power mechanical transmissions for the carriage of a port gantry crane, intended for the transshipment of containers from ship to dock and vice versa.

    See publication

Projects

  • Expansion project degasification plant BBG (Bizkaia)

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    Works:
    -Making plans, list of cables, connections.
    -Technical documentation (specifications, requisitions, etc)
    Tabs, telecommunications signals lists, etc.).
    -Calculation of grounding, and the necessary extensions.
    -Distribution lightning
    -Distribution of lighting.
    -Force distribution.

    Other creators
    • Francisco vega otero, ( desconozco los otros miembros del equipo)

  • Monotanque prototype project to build energy through molten salts (CTS expansion Valley II).

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    -Making plans, list of cables, connections.
    -Line diagrams

    Other creators
    • Daniel Bujeda, ( no conozco al resto de las personas que han participado)

  • Thermosolar plant parabolic trough of 50 MW "Valley II"

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    -Making plans, list of cables, connections.
    -Line diagrams
    -Technical documentation (specifications, requisitions, tabs).
    -Kidney-related facilities.

    Other creators
    • Daniel bujeda, ( desconozco todo lo que participan en el proyecto)

  • Project oil refining plant for Brazil

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    Other creators
    • Daniel bujeda, ( no conozco al resto de miembros del equipo).

Honors & Awards

  • Estudiante

    Cadiz University

    Finalization of Technical Engineering 4 years.

    I was the second to finish the university career in my promotion (2000-2003)

Test Scores

  • TOEIC

    Score: 750 Points

    Prueba de ingles a nivel internacional

Languages

  • Inglés

    Full professional proficiency

  • Aleman

    Limited working proficiency

  • Español

    Native or bilingual proficiency

  • Portugues A2 certificado INESEM

    Elementary proficiency

Organizations

  • Club de la Energía de España

    Miembro

    - Present

  • Asociación Española de Dirección de Proyectos (IPMA).

    Miembro

    - Present

  • Asociación Española de Inteligencia Artificial

    Miembro

    - Present

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