Call for Papers

Paper Submission

50% discount on the second paper*
Important dates

Full Paper Submission deadline

Notification deadline

Camera-ready deadline

Conference dates

Late Track

Full Paper Submission deadline

Notification deadline

Camera-ready deadline

The conference is designed in such a way to address societal problems and it is a platform for scientists and engineers from different background come together and discuss. More generally, the conference scope is on the advancement of science, engineering, and technology towards sustainable development.

ICAST 2026 will have seven main tracks:

Track 1: AI, Machine learning, and Applications

We invite original research contributions for the AI and Machine Learning Applications track. The goal of this track is to bring together researchers, practitioners, and industry experts to present innovative methodologies, theoretical advancements, and real-world applications of AI and machine learning. We welcome theoretical contributions, applied research, system implementations, experimental studies, and interdisciplinary approaches that demonstrate the transformative potential of AI and machine learning in various fields. Topics of interest include, but are not limited to: Artificial intelligence (AI), Machine Learning (ML), Computer Vision and Pattern Recognition, Network and Security, Natural Language Processing (NLP), Data Science and Big Data Analytics, Human Computer Interactioon (HCI), Robotics and Autonomous Systems, and AI and Machine Learning Applications for Different Domains.

Track 2: Advances in Electrical, Electronics and Computer Engineering

Research topics include, but are not limited to: Robotics, industrial automation and control system, Electrical machines control and drives, Power electronics, Power generation, transmission and distribution systems, High voltage and HVDC transmission , Micro grid and smart grid technologies, Wireless communication, Computer networks and data communication, Computer system architecture, Real time systems, Mobile computing and communication, Space and satellite communication, Network and data security , VLSI and microelectronic circuits , Integrated circuits and Embedded systems, Signal systems and  processing, Wireless sensor networks, Sensors and sensor technologies , Smart grid communication, Electronics and instrumentation

Track 3: Advancements in Manufacturing and Mechanization Systems

The “Advancements in Manufacturing and Mechanization Systems” track invites researchers, academicians, and industry practitioners to submit high-quality contributions that address the evolving challenges in modern manufacturing and agricultural mechanization. As global industries shift towards Industry 4.0 and sustainable production, this track seeks to explore the intersection of advanced manufacturing technologies, industrial engineering optimization, and the mechanization of agriculture and processing systems. This track places a strong emphasis on research that bridges the gap between theoretical innovation and practical application, particularly within the context of developing economies and emerging industrial sectors. We welcome papers that propose novel methodologies, experimental investigations, and simulation-based studies. We encourage submissions covering, but not limited to, the following thematic areas: Advanced Manufacturing & Materials Processing, Industrial Engineering & Systems Optimization, Agricultural Mechanization & Post-Harvest Technology, Industry 4.0 & Automation, and Sustainable Manufacturing & Circular Economy:

Track 4: Advances in Materials Science and Applications

This track invites high-quality original research and review contributions focused on the design, synthesis, processing, characterization, and application of advanced materials, including metallic, ceramic, polymeric, semiconductor, and composite systems. Emphasis is placed on understanding the fundamental and applied aspects of materials through comprehensive investigation of the processing-structure-property-performance relationships using advanced characterization techniques such as X-ray diffraction (XRD), electron microscopy (SEM/TEM), spectroscopy (FTIR, Raman, XPS), thermal analysis (DSC, TGA), surface and interface analysis (BET, AFM), electrochemical methods (CV, EIS, GCD), and magnetic, optical, and mechanical characterization tools. The scope encompasses materials engineered for critical technological applications, particularly in energy conversion and storage (batteries, supercapacitors, and fuel cells), sensing devices, photocatalysis, and adsorption-based environmental remediation. Contributions addressing multifunctional materials for sustainable solutions within the energy- water-food nexus are strongly encouraged, including materials for water purification, pollutant degradation, resource recovery, and energy-efficient systems. The track welcomes interdisciplinary approaches integrating experimental, theoretical, and computational methods to advance next-generation materials for sustainable development, environmental protection, and emerging industrial and technological applications.

Track 5: Process Industries for Sustainable Development

This track integrates multidisciplinary research from chemical engineering, food engineering, postharvest technology, and human nutrition to address global challenges related to food security, industrial efficiency, waste valorization, and sustainable resource management. The scope of this theme includes, but is not limited to, the following areas: Chemical Engineering for Sustainable Processes: Green and sustainable chemical processes, Process design, modeling, and optimization, Renewable energy technologies and bioenergy systems, Waste minimization and resource recovery, Bioprocess engineering and biotechnology, Catalysis and reaction engineering, Environmental and pollution control technologies and Process intensification and industrial sustainability. Food Engineering and Processing Technologies: Novel food processing and preservation technologies, Sustainable food manufacturing systems, Food process optimization and scale-up, Food safety and quality assurance technologies, Emerging technologies (e.g., thermal and non-thermal processing), Functional food development and food product innovation, Food packaging and storage technologies, Valorization of agricultural by-products and waste. Postharvest Technology and Value Addition: Postharvest handling, storage, and preservation of agricultural products, Reduction of postharvest losses and food waste, Agro-processing technologies and value chain development, Cold chain management and logistics, Supply chain sustainability and food security. Human Nutrition: Nutrition-sensitive food processing, Functional foods and nutraceuticals, public health nutrition and food security, Sustainable diets and alternative protein sources; Bioavailability of nutrients and reduction of anti-nutritional factors, Nutrition-related health outcomes

Track 6: Renewable and Green Energy Technologies

The advancements of science and technology (ICAST) conference is a forum for scientists and engineers from various backgrounds to interact and debate challenges facing society. The conference’s focus is on how science, engineering, and technology are developing in the direction of sustainable development. One of the conference’s tracks is on green and renewable energy technologies. Renewable energy sources such as solar, wind, hydro, geothermal, biomass, and others are the emphasis of this multidisciplinary track. These technologies are essential for lowering dependency on fossil fuels and halting climate change since they are sustainable and emit few greenhouse gases. It is designed to quickly share expertise with scientists and engineers engaged in the study, development, or real-world implementation of renewable and green energy systems. Novel and original research findings, as well as reviews in the fields of renewable and green energy technology, will be covered in this ICAST-2026 conference track.

Track 7: Sustainable Infrastructure, Water Systems, and Built Environment

This track addresses the planning, design, analysis, construction, operation, and management of resilient and sustainable civil infrastructure and water systems that underpin socio-economic development and environmental stewardship. It focuses on advancing the performance, safety, efficiency, and climate resilience of the built environment under evolving environmental and societal challenges. Civil & Urban Infrastructure: The track covers contributions in structural engineering, geotechnical engineering, transportation systems, construction engineering and management, infrastructure rehabilitation, asset life cycle assessment, and risk and reliability analysis. Emphasis is placed on resilience to natural hazards, including earthquakes, floods, and extreme weather events, as well as sustainable infrastructure planning and management. Water & Environmental Systems: Core areas include hydrology, hydraulics, irrigation and drainage engineering, river basin and watershed management, groundwater systems, hydraulic structures, and urban water supply and storm water systems, wastewater treatment, solid and hazardous waste management, and nature-based or sustainable drainage solutions are also within scope. Digital Transformation & Smart Technologies: The track includes applications of Artificial Intelligence (AI), Machine Learning (ML), remote sensing, digital twins, smart sensing technologies, and data-driven modelling in civil and water engineering, particularly where these approaches enhance prediction, monitoring, optimization, and decision-making. The topics listed above are indicative rather than exhaustive. Interdisciplinary contributions within the broader domains of civil and water resources engineering are within scope.

1) AI, Machine Learning, and its Applications   Track

2) Advances in Electrical, Electronics, and Computer Engineering

3) Advancements in Manufacturing and Mechanization Systems Track

4) Advances in Materials Science and applications Track

5) Process Industries for Sustainable Development Track

6) Renewable and Green Energy Technologies Track

7) Sustainable Infrastructure and Built Environment

All papers from Track 1 (AI, Machine Learning, and its Applications) and Track 2 (Industrial Automation, Networking, and Communication Systems) will be submitted for publication in the Springer – EAISICC series and made available through SpringerLink Digital Library: ARTEP Conference Proceedings. This series is indexed in leading indexing services, such as Scopus, Ei Compendex, and zbMATH.

All papers from Track 3 to Track 7 will be submitted for publication in Green Energy and Technology. This series is indexed in Scopus, Ei Compendex. 

Available journals

All accepted authors are eligible to submit an extended version in a fast track of:

Authors have the opportunity to publish their articles in the EAI Endorsed Transactions journal selected by the conference (Scopus, Ei-indexed, ESCI-WoS, Compendex) by paying an additional $250, discounted from the standard $400 rate for conference authors.

The article’s publication is subject to the following requirements:  

  • It must be an extended version of the conference paper with a different title and abstract. In general, 30% of new content must be added.
  • The article will be processed once the conference proceedings have been published.
  • The article will be processed using the fast-track option.

Once the conference proceedings are published, the corresponding author should contact us at [email protected] with the details of their article to begin processing.

Additional publication opportunities

EAI is an open community dedicated to creating an environment where every member receives the same opportunities and benefits to develop and grow their research mission and career. As the largest free professional research society in the world, EAI offers a complete range of conference proceedings publication opportunities. Based on the qualification of the conference and the conference scope, EAI provides the possibility to publish the proceedings for every sponsored conference. Consistent with its mission to support developing communities, all EAI sponsored conferences appear in EUDL, the European Union Digital Library (EUDL). EUDL is Open Access and free for EAI members, reaching a community of 250,000 subscribers and providing the visibility that allows the conference organisers to develop the conference into a fully fledged indexed proceedings publication in subsequent years.

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 12-24 pages in length. (Excluding appendices, references, appreciation, etc.)
  • Short papers should be 10-11 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.

*A 50% discount on the second paper is available for participants registering two accepted papers, provided both papers are authored by the same individual who will also be the sole attendee.

How to Submit a Paper in Confy:
  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.

Alternatively, go to the Confy+ homepage and click on “Open Conferences.”

Submission Guidelines:

  • All papers must be submitted in English
  • Please make sure to include all contributing co-authors at the Paper Submission stage.
  • 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 must 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.

* All exceptions must be labelled clearly as generated by AI within the image field.
As we expect things to develop rapidly in this field in the near future, we will review this policy regularly and adapt if necessary.Note: Examples of image types covered by this policy include: video and animation, including video stills; photography; illustration such as scientific diagrams, photo-illustrations and other collages, and editorial illustrations such as drawings, cartoons or other 2D or 3D visual representations. Not included in this policy are text-based and numerical display items, such as: tables, flow charts and other simple graphs that do not contain images. Please note that not all AI tools are generative. The use of non-generative machine learning tools to manipulate, combine or enhance existing images or figures should be disclosed in the relevant caption upon submission to allow a case-by-case review.

AI-generated Images Guidance

For more information on the inclusion of third party content (i.e. any work that you have not created yourself and which you have reproduced or adapted from other sources) please see Rights, Permissions, Third Party Distribution.

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

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

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.
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