Hershey, Pennsylvania
New York, New YorkBeijing, China

Call for Chapters: Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI

Editors

Maria Raygoza-L, Universidad Politécnica de Baja California, Mexico
Jesus Orduño, Universidad Politécnica de Baja California, Mexico
Gabriel Trujillo-Hernández, Universidad Politécnica de Baja California, Mexico
Abelardo Herrera, Universidad Politécnica de Baja California, Mexico
Fabian N. Murrieta-Rico, Universidad Politécnica de Baja California, Mexico

Call for Chapters

Proposals Submission Deadline: May 4, 2025
Full Chapters Due: August 17, 2025
Submission Date: August 17, 2025

Introduction

The book Semiconductors, Energy, and Artificial Intelligence: Innovation for a Sustainable Future aims to provide an in-depth analysis of the role of artificial intelligence (AI) and semiconductors in the energy sector. It will explore their applications in renewable energy, storage systems, electromobility, and other fields that could significantly impact future sustainability and environmental preservation. By integrating AI tools and advanced semiconductor technologies, the book will highlight opportunities for optimizing energy consumption, improving electrical system sustainability, and addressing potential energy crises caused by increasing electricity demand. Furthermore, the book will focus on how these innovations enhance strategic decision-making, facilitating a transition toward clean energy sources and efficient technologies with a positive social impact. Key themes include reducing CO2 emissions, mitigating environmental effects, and implementing innovative strategies to enhance efficiency in supply chains. This will cover optimizing manufacturing processes, improving productivity and sustainability, and ensuring effective product lifecycle management, from design and production to final disposal. Elsewhere the energy sector, the book will address the application of AI and semiconductors in sustainability-related fields such as agriculture, water resource management, circular economy, and smart cities. It will explore how AI-driven automation, advanced semiconductor-based sensors, and emerging materials contribute to environmental sustainability and economic efficiency. Special emphasis will be placed on public policies, regulations, and education, ensuring that AI and semiconductor advancements.

Objective

The objective of this book is to provide a comprehensive vision of how artificial intelligence and semiconductors can drive sustainability across various sectors. By presenting research, case studies, and emerging trends, the book aims to demonstrate the role of AI in optimizing energy efficiency and sustainability, explore how semiconductors enable technological advancements in energy storage, electromobility, and smart infrastructure, examine the integration of AI and semiconductors in fields such as agriculture, water management, and circular economy, provide insights into the impact of AI and semiconductor advancements on climate change mitigation and resilience, and highlight the importance of education, human capital development, and policy frameworks in fostering a sustainable technological transition.

Target Audience

This book is intended for a broad audience, including researchers and academics in AI, semiconductors, energy, and sustainability; industry professionals and engineers working in semiconductor manufacturing, renewable energy, and smart infrastructure; policy makers and sustainability advocates involved in regulatory frameworks and public policies; students and educators in university and training institutions focusing on AI, semiconductors, and sustainable technologies; and entrepreneurs and innovators seeking AI-driven solutions and semiconductor technologies for sustainability challenges.

Recommended Topics

The book seeks contributions covering various aspects of semiconductors, AI, and sustainability. Potential topics include: 1. Fundamentals of semiconductors, their technological evolution, and energy efficiency in production. 2. Energy efficiency in the production and use of semiconductors. 3. Applications of artificial intelligence in semiconductor design, optimization, and manufacturing processes. 4. Advanced semiconductors for energy storage, conversion, and electromobility. 5. Smart grids, renewable energy systems, and their optimization with AI and semiconductors. 6. AI-driven automation and robotics in semiconductor manufacturing. 7. AI-driven automation, robotics, and supply chain management in the semiconductor industry. 8. Semiconductor-based sensors for environmental monitoring, pollutant detection, and water resource optimization. 9. AI applications in smart cities, sustainable mobility, and traffic optimization. 10. Smart buildings and urban sustainability: energy management with AI and semiconductors. 11. Innovations in electronic materials recycling, biodegradable materials, and circular economy strategies. 12. Public policies, regulations, and emerging trends for clean and sustainable technologies. 13. AI for climate change prediction, mitigation, and environmental resilience. 14. AI-based learning platforms and professional training for renewable energy education. 15. The future of artificial intelligence in scientific and technological research for energy management. 16. Nanotechnology and semiconductors in reducing the environmental impact of electronic devices. 17. Emerging trends in semiconductors, AI, and sustainability. 18. Methods of synthesis and characterization of semiconductor materials.

Submission Procedure

Researchers and practitioners are invited to submit on or before May 4, 2025, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 18, 2025 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by August 17, 2025, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global Scientific Publishing (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2026.



Important Dates

May 4, 2025: Proposal Submission Deadline
May 18, 2025: Notification of Acceptance
August 17, 2025: Full Chapter Submission
October 19, 2025: Review Results Returned
November 30, 2025: Final Acceptance Notification
December 14, 2025: Final Chapter Submission



Inquiries

Maria E. Raygoza-L
Universidad Politécnica de Baja California
maryraygoza963@gmail.com

Jesus Heriberto Orduño-Osuna
Universidad Politécnica de Baja California
jhorduno@upbc.edu.mx

Gabriel Trujillo-Hernández
Universidad Politécnica de Baja California
gtrujiulloh@upbc.edu.mx

Abelardo Mercado Herrera
Universidad Politécnica de Baja California
amercadoh@upbc.edu.mx

Fabian N. Murrieta-Rico
Universidad Politécnica de Baja California
fabian.murrieta@uabc.edu.mx



Classifications


Computer Science and Information Technology; Education; Library and Information Science; Government and Law; Physical Sciences and Engineering
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