The proceedings of EAI FISAT 2026 present cutting-edge research in smart systems and applied technologies, with a strong focus on semiconductor design, autonomous and intelligent systems, real-time control, embedded architectures, and AI-driven digital applications in business, logistics, language, and legal domains. The volume highlights practical methodologies, system-level implementations, experimental validations, and industry-oriented case studies that demonstrate how advanced smart technologies are translated into real-world solutions. Readers will find particular interest in interdisciplinary contributions that integrate hardware-software co-design, intelligent control, FPGA-based systems, autonomous platforms, and applied artificial intelligence for emerging digital ecosystems. The book features technical illustrations, system architecture diagrams, comparative performance tables, and experimental result analyses that enhance clarity and reproducibility. A balanced mix of theoretical modeling and applied engineering case studies offers both academic rigor and industrial relevance. The main benefit to readers is access to a curated collection of high-quality, application-driven research that bridges advanced smart system theory with deployable technologies, supporting researchers, engineers, and industry practitioners in accelerating innovation and practical implementation.

Scope 1: Artificial Intelligence & Machine Learning

• Machine Learning, Deep Learning, and Foundation Models
• Computer Vision and Image Processing
• Natural Language Processing, Speech, and Multimodal Language Technologies
• Reinforcement Learning and Intelligent Optimization
• AI Applications in Industry, Business, Healthcare, and Education

Scope 2: IoT, Embedded Systems, Automotive Software & Semiconductor Technologies

• Internet of Things Architectures and Applications
• Embedded Systems and Real-Time Computing
• Automotive Software, AUTOSAR, and Intelligent Vehicles
• VLSI, IC Design, and Semiconductor Technologies
• Edge Computing and Cyber-Physical Systems

Scope 3: Techno-Economic Systems & Smart Operations

• Data-Driven Business Models in AI-Enabled Systems
• Digital Twin Applications in Logistics and Supply Chain Optimization
• Techno-Economic Analysis of Smart Infrastructure and Automation
• AI-Driven Operational Strategy and Decision Intelligence
• Innovation Management for Intelligent and Autonomous Systems

Scope 4: Governance, Ethics, and Regulatory Frameworks for Smart Systems

• • Governance Frameworks for AI-Enabled Infrastructure
  • Ethical and Responsible Deployment of Autonomous Systems
  • Regulatory Challenges in Digital Twin and Smart Logistics
  • Data Protection and Security in Cyber-Physical Systems
  • Policy Design for Sustainable AI and Smart Cities

Papers should be submitted through the EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

• Full/ Regular papers should be 12-15 pages in length. (Excluding appendices, references, appreciation, etc.)
• Short papers should be 6-11 pages in length. (Excluding appendices, references, appreciation, etc.)

*Please note that additional pages will be subject to an extra charge for each extra page uploaded.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

1. Go to Confy+ website.
2. Log in or sign up as a new user.
3. Select your desired track.
4. Click the ‘Submit Paper’ link within the track and follow the instructions.

• All papers must be submitted in English. 

• Submitted PDFs should be anonymized.

• Previously published work cannot be submitted, nor can it be concurrently submitted to any other conference or journal. These papers will be rejected without review. 
• Papers must follow the Springer formatting guidelines (available in the Author’s Kit section). 
• Authors must read and agree to the Publication Ethics and Malpractice Statement.
• As per new EU accessibility requirements, going forward, all figures, illustrations, tables, and images should have descriptive text accompanying them. Please refer to the document below, which will assist you in crafting Alternative Text (Alt Text)

HOW TO WRITE GOOD ALT TEXT

For full information, click HERE.

AI Authorship Policy

Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. We thus ask that the use of an LLM be properly documented in the Acknowledgements, or in the Introduction or Preface of the manuscript.

The use of an LLM (or other AI-tool) for “AI assisted copy editing” purposes does not need to be declared. In this context, we define the term “AI assisted copy editing” as AI-assisted improvements to human-generated texts for readability and style, and to ensure that the texts are free of errors in grammar, spelling, punctuation and tone. These AI-assisted improvements may include wording and formatting changes to the texts, but do not include generative editorial work and autonomous content creation. In all cases, there must be human accountability for the final version of the text and agreement from the authors that the edits reflect their original work. This reflects a similar stance taken on the AI generative figures policy, where it was acknowledged that there are cases where AI can be used to generate a figure without being concerned about copyright e.g. to generate a graph based on data provided by the author. 

AI Authorship Guidance

Authors should familiarise themselves with the current known risks of using AI models before using them in their manuscript. AI models have been known to plagiarise content and to create false content. As such, authors should carry out due diligence to ensure that any AI-generated content in their book is correct, appropriately referenced, and follow the standards as laid out in our Book Authors’ Code of Conduct.

AI-generated Images Policy

The fast-moving area of generative AI image creation has resulted in novel legal copyright and research integrity issues. As publishers, we strictly follow existing copyright law and best practices regarding publication ethics. While legal issues relating to AI-generated images and videos remain broadly unresolved, Springer Nature journals and books are unable to permit its use for publication.

Exceptions:

• Images/art obtained from agencies that we have contractual relationships with that have created images in a legally acceptable manner.
• Images and videos that are directly referenced in a piece that is specifically about AI and such cases will be reviewed on a case-by-case basis.
• The use of generative AI tools developed with specific sets of underlying scientific data that can be attributed, checked and verified for accuracy, provided that ethics, copyright and terms of use restrictions are adhered to.

Papers must be formatted using the Springer LNICST Authors’ Kit.

Instructions and templates are available from Springer’s LNICST homepage:

• LaTeX2e Proceedings Templates (zip)
• Microsoft Word Proceedings Templates (zip)

Please make sure that your paper adheres to the format as specified in the instructions and templates.

When uploading the camera-ready copy of your paper, please be sure to upload both:

• a PDF copy of your paper formatted according to the above templates, and
• an archive in .ZIP file, containing LaTeX or Word source material prepared according to the above guidelines.