The smart grid is the next generation electrical grid, which will enable the smart integration of conventional, renewable and distributed power generation, energy storage, transmission and distribution, and demand management. The benefits of smart grid include enhanced reliability and resilience, higher intelligence and optimized control, decentralized operation, higher operational efficiency, more efficient demand management, and better power quality.
However, the large-scale deployment of smart grid without proper utilization can cause new dimension of threats, particularly in critical infrastructures that are highly dependent on the availability of electricity. Modern telecommunications will play a vital role in the smart grid as many of its operations and applications require vast amount of information to be communicated between entities in real-time for timely monitoring and control. Beyond smart grid, telecommunications are also an important enabler of human-to-human, human-to-machine, and machine-to-machine connectivity in other smart systems such as smart buildings, transportation and healthcare. These connections and interactions between networked entities will make possible the seamless provision of a wide variety of new services that provide a way of life that is secure, convenient, comfortable, and sustainable in future smart cities.

Smart Grid:

1. Resilient and robust control for recovery of smart grid
2. Flexibility and self-healing capability of smart grid
3. Electric vehicle systems for smart grid
4. Smart grid system architecture
5. Smart grid electricity markets
6. Decentralized decision making for smart grid
7. Phishing analytic and system security for smart grid
8. Microgrid and islanding applications and operations
9. Quality-of-Service (QoS), energy-efficiency, and fault tolerance in smart grid systems
10. Resource management of smart grid systems
11. Smart grid infrastructural dependencies
12. Distributed control and efficient optimization methods for smart grid
13. Modelling and simulation of smart grid
14. Data analytics, sensing, processing and communication techniques for smart grid
15. Management techniques for distributed energy generation and storage
16. Energy storage technologies for smart grid
    
    

Telecommunications:

1. Physical and MAC layer protocols, low power link layer technologies (PLC and wireless)
2. Resource management and cross-layer optimization
3. Multi-hop communication and mesh networking
4. Scalable network and system architecture (e.g., FAN, HAN, NAN and BAN)
5. Lightweight IP networking stacks for constrained devices
6. Communication protocols for real-time information collection and control applications
7. Data models and communication-aware data management solutions
8. Coexistence, convergence and interoperability mechanisms
9. Signal processing and coding techniques for energy related sensor information
10. 5G and beyond enabling technologies, innovative applications and services
11. Microwave and millimetre-wave passive and active devices
12. Radio frequency based sensing and energy harvesting
13. Integrated sensing and communications
14. V2X communication for connected autonomous vehicles
15. Optical-wireless integration in backhaul and access networks
16. Radiometric fingerprinting for security of wireless devices
17. Software defined wireless networks
18. Internet of things for smart cities

Duong Nguyen, ASU, USA

Accepted, registered and presented posters and demos will be submitted for publication by Springer and made available through SpringerLink Digital Library. Posters and Demos will be published as a part of the EAI SmartGIFT 2026 Conference Proceedings in a non-indexed Annex section.

More about the publication, click HERE.

Posters and Demos should be submitted through the EasyChair system, and have to comply with the Springer format (see Author’s kit section).

• Poster papers should be from 1 to 4 pages in length. 
• Demo papers should be from 1 to 4 pages in length. 

Poster and Demo submissions should be a maximum of 4 pages, including references, figures, tables, and appendix.

• All papers must be submitted in English. 

• Submitted PDFs should be anonymized.

• Single-Blind review process.
• 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.