Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI

The convergence of semiconductors, energy, and artificial intelligence (AI) creates a more sustainable and technologically advanced future. As the demand for computing power and energy efficiency grows, innovations in semiconductor design and manufacturing enable greener AI systems and smarter energy solutions. From optimizing power grids to reducing carbon footprints, this intersection offers potential across industries. Building a sustainable future requires collaboration among scientists, engineers, and policymakers to balance performance, efficiency, and environmental responsibility in the digital age. Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI explores the role AI and semiconductors in enhancing energy efficiency, sustainability, and environmental preservation. It examines AI-driven solutions for energy consumption optimization, renewable energy integration, storage systems, and electromobility, addressing the growing electricity demand while mitigating emissions. This book covers topics such as smart technology, environmental science, and renewable energy, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.

María E. Raygoza-L. has a PhD in Chemistry and Energy from the Engineering Institute of the Universidad Autónoma de Baja California and a bachelor's degree in industrial engineering with a specialization in Manufacturing. The thesis topic developed was "Technological Management for the transfer of Renewable Energies", carrying out an academic stay at the Colegio de la Frontera Norte where she investigated public policies for the energy transition and sustainable development of Mexico, achieving a methodology that aims the integration of the main actors that must contribute to sustainable development. She currently works as a full-time professor and researcher at the Universidad Politécnica de Baja California and as a subject professor at the Universidad Autónoma de Baja California, with a specialty in Energy Engineering and Renewable Energies, contributing to the training of quality human resources. With extensive experience in the food and aerospace industries, his research interests span renewable energy, energy efficiency, environmental studies, energy management systems, and the integration of public policies for sustainable development and transition through social energy innovation and emerging technology applications such as Artificial Intelligence, especially Machine Learning. He is currently pursuing a Second bachelor's degree in psychology, further expanding his academic horizons in relation to social applications of public policies and social innovation that have an impact on sustainable development, addressing issues of energy security, sustainability, renewable energy and water stress, focusing their research to the fulfillment of the Sustainable Development.

Jesus Heriberto Orduño-Osuna received his B.Sc. in Mechatronics Engineering from the Universidad Politécnica de Baja California (UPBC) in 2020 and his M.Sc. in Computational Sciences and Applied Mathematics from Universidad Internacional de La Rioja, Mexico (UNIR Mexico) in 2024. His professional experience spans the Post-Harvest Automation and manufacturing sectors, where he has specialized in automation processes, vision systems, and industrial robotics. Currently, he works as a part-time lecturer at Universidad Politécnica de Baja California, where he teaches courses related to Mechatronics, Manufacturing, Energy Systems, and Computer Science. His teaching is complemented by his active research interests in Machine Learning, Automation and Control of Industrial Processes, Microcontrollers, and Digital Signal Processing (DSP), areas in which he seeks to advance the integration of intelligent systems in industrial applications.

Abelardo Mercado-Herrera is a Doctor of Science and Master of Science from the National Institute of Astrophysics, Optics and Electronics, specializing in Astrophysics, Postdoctorate in Astrophysics from the Institute of Astronomy of the National Autonomous University of Mexico, Electronics Engineer from the Autonomous University of Baja California . He is a specialist in the mathematical-statistical description of stochastic and/or deterministic processes, nonlinear systems, complex systems, chaos theory, among others, as well as their application to physical phenomena such as astronomy, economics, finance, telecommunications, science social etc., in order to determine the underlying dynamics in such processes, and if necessary, their connection with real physical variables and possible prediction. He has worked on the development of various electronic circuits, interfaces and programs to carry out electrical tests in the industry, as well as in scientific instrumentation, applied to telemetry, infrared polarimetry, optics and spectroscopy. He has also specialized in image analysis, measurement techniques and noise reduction.

Fabian N. Murrieta-Rico received B.Eng. and M.Eng. degrees from Instituto Tecnológico de Mexicali (ITM) in 2004 and 2013 respectively. In 2017, he received his PhD in Materials Physics at Centro de Investigación Científica y Educación Superior de Ensenada (CICESE). He has worked as an automation engineer, systems designer, as a university professor, and as postdoctoral researcher at Facultad de Ingeniería, Arquitectura y Diseño from Universidad Autónoma de Baja California (UABC) and at the Centro de Nanociencias y Nanotecnología from Universidad Nacional Autónoma de México (CNyN-UNAM), currently he works as professor at the Universidad Politécnica de Baja California. His research has been published in different journals and presented at international conferences since 2009. He has served as reviewer for different journals, some of them include IEEE Transactions on Industrial Electronics, IEEE Transactions on Instrumentation, Measurement and Sensor Review. His research interests are focused on the field of time and frequency metrology, the design of wireless sensor networks, automated systems and highly sensitive chemical detectors.