Naoui Mohamed was born in Nefta, Tunis, in 1991. He received the degree in electrical engineering from the University of Gabès, Tunisia, in 2015, and a Ph.D. degree from the Department of Electrical Engineering, in 2020. From 2016 to 2018, he worked as a Professional Engineer in electrical and automatic engineering. He is currently an Associate Professor in electrical engineering with the University of Gabès (ENIG). He has academic experience of three years. He has published over 80 research articles in reputed journals, international conferences, and book chapters. His research interests include electric vehicles, power systems, and renewable energy.
Sbita Lassaad was born in Hammam Lif, Tunisia, in 1962. He received the B.E. degree in electrical engineering from the University of Tunis, Tunis, Tunisia, in 1985, and the D.E.A. and Thesis degrees in electrical engineering from the École nationale supérieure d’ingénieurs de Tunis, Tunis, in 1987 and 1997, respectively. In 1988, he joined the Department of Electrical Engineering, National School of Engineering of Sfax, University of Sfax, as a Professor Assistant, and the Department of Electrical Engineering, National Engineering School of Gabes, University of Gabés, Gabés, Tunisia, in 1991, where he became an Associate Professor, in 1998, and a Professor, in 2009.
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Paperback. Etat : new. Paperback. As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337356228
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Paperback. Etat : new. Paperback. As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337356228
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Paperback. Etat : new. Paperback. As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337356228
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Taschenbuch. Etat : Neu. Bridging Human-Machine Interaction for Energy Infrastructure | Mohamed Naoui (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337356228 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134494776
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