Mr. Saul Davila Gonzalez
Electronic and Electrical Engineering Department, Universidad Nacional de Educación a Distancia, Madrid, Spain
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Academic Career Length
3Years (2024-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
Saul Davila Gonzalez
Sergio MartinThis research introduces a conceptual framework designed to enhance worker safety and well-being in industrial environments, such as oil and gas construction plants, by leveraging Human Digital Twin (HDT) cutting-edge technologies and advanced artificial intelligence (AI) techniques. At its core, this study is in the developmental phase, aiming to create an integrated system that could enable real-time monitoring and analysis of the physical, mental, and emotional states of workers. It provides valuable insights into the impact of Digital Twins (DT) technology and its role in Industry 5.0. With the development of a chatbot trained as an empathic evaluator that analyses emotions expressed in written conversations using natural language processing (NLP); video logs capable of extracting emotions through facial expressions and speech analysis; and personality tests, this research intends to obtain a deeper understanding of workers’ psychological characteristics and stress levels. This innovative approach might enable the identification of stress, anxiety, or other emotional factors that may affect worker safety. Whilst this study does not encompass a case study or an application in a real-world setting, it lays the groundwork for the future implementation of these technologies. The insights derived from this research are intended to inform the development of practical applications aimed at creating safer work environments.
Journal Article
Saul Davila GonzalezSergio MartinConstruction activities within the Oil and Gas Industry present many challenges and inherent dangers for workers. Many current solutions available in the market lack real-time insights and predictive capabilities for proactive decision-making and operational safety. This industry demands robust solutions to enhance safety, improve security, and increase productivity, and this is where Human Digital Twins (HDTs), Wearables, and Artificial Intelligence (AI) play an important role. HDTs aim to create a dynamic digital replica of workers, integrating data from wearables, IIoT sensors, information systems, and any other data source available, enabling continuous monitoring of physiological and cognitive conditions. Complementing HDTs, AI-powered wearables collect enriched data from embedded sensors, such as heart rate, blood oxygen, or fatigue, and integrate deep learning algorithms to predict potential incidents directly on the edge before they happen, thanks to their high computing capabilities. This review represents the state-of-the-art for HDTs and AI-powered wearables for the Oil and Gas industry. It explores current technological developments, their applications, the challenges and limitations of deploying them into a real-world project, and also synthesizes current research and industry practices, highlighting their potential in human health and safety. Additionally, it identifies future research directions to overcome existing barriers.
About Me
I am an accomplished Industrial Engineer with over 20 years of international experience in research, development, and project management, with a core specialization in digital transformation for the Oil and Gas sector. My career has been defined by a commitment to innovation, operational efficiency, and safety in complex industrial environments.
My professional journey has taken me across Qatar, Singapore, Saudi Arabia, UAE, Oman, Argelia, and many other countries, where I have led and contributed to high-impact digital initiatives for industry leaders such as ExxonMobil, Saudi Aramco, Adnoc, or Qatar LNG. With deep expertise in the Industrial Internet of Things (IIoT), artificial intelligence (AI), and enterprise software development, I specialize in aligning sophisticated technical systems with strategic business objectives.
Currently, I am pursuing a PhD in Industrial Technologies at UNED, focusing on the research topic: “Human Digital Twins for Enhanced Supervision in Oil and Gas Construction.” This work, under the broader theme of Industry 5.0, explores how human-centric digital twins can redefine safety and productivity by harmonizing technological innovation with human insight—an approach I see as essential for the future of industrial operations.
My academic background includes a degree in Electronics Industrial Engineering from Carlos III University, complemented by a Master’s in Information and Communication Electronic Systems from UNED. This foundation supports