Leveraging Advanced AI for Smart and Sustainable Industry 4.0 Solutions

Dear Colleagues,

The emergence of Industry 4.0 marks a transformative era in manufacturing, characterized by the integration of advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and cyber physical human systems. This Special Issue focuses on the latest advancements in AI technologies, including federated learning, explainable AI, and distributed AI, and their applications in modern manufacturing processes. Our aim is to explore how these technologies can enhance efficiency, innovation, and sustainability in manufacturing industries.

We invite research that spans a wide range of topics, reflecting the interdisciplinary nature of this field. We seek contributions that not only advance theoretical knowledge but also demonstrate practical implementations and case studies in manufacturing environments. This Special Issue will gather high-quality research that addresses the challenges and opportunities presented by Industry 4.0, providing insights into the future of manufacturing.

Topics of interest include, but are not limited to, the following:

• Federated Learning in Smart Manufacturing;
• Explainable AI for Quality Control and Predictive Maintenance;
• Distributed AI for Real-Time Process Optimization;
• IoT-Enabled Smart Factories;
• Cyber Physical Human Systems and Their Role in Industry 4.0;
• AI-Driven Supply Chain Management;
• Robotics and Automation in Manufacturing;
• Big Data Analytics for Manufacturing Intelligence;
• Sustainability through AI in Manufacturing Processes;
• Human–AI Collaboration in Production Environments;
• Advanced Manufacturing Technologies for Customization and Flexibility;
• Case Studies and Practical Applications of AI in Manufacturing.

We encourage submissions of original research articles, comprehensive reviews, and case studies that address these topics. Contributions should highlight novel approaches, experimental results, and theoretical advancements that drive the field forward.

Dr. Imran 
Dr. Naeem Iqbal
Dr. Prince Waqas Khan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.