Guidelines for Authors

AIRISE-2027 invites original, unpublished, and high-quality research contributions from academia, industry, and research organizations. Papers should clearly demonstrate novelty, technical soundness, and relevance to the conference themes. All submissions must be completed on or before the last date of paper submission. After the deadline, new paper registration may be closed, though limited editing of already submitted papers may be permitted through the submission portal.

Conference Tracks / Topics:

Authors are encouraged to submit papers aligned with one or more of the following tracks:
1. Artificial Intelligence for Structural Health Monitoring and Infrastructure Resilience
2. AI-Driven Design, Optimization, and Performance Modeling of Sustainable Engineering Materials
3. Life Cycle Assessment, Carbon Modeling, and Circular Infrastructure Systems
4. Smart Construction Technologies, Robotics, and Digital Twins
5. AI & ML in Water Resources Management and Engineering

Illustrative themes include, but are not limited to, AI-based damage detection, smart sensing and IoT for infrastructure monitoring, predictive maintenance, seismic and multi-hazard resilience, AI-assisted mix design, machine learning for service-life prediction, low-carbon and recycled materials, embodied carbon and life-cycle assessment, circular construction systems, robotics and automation in construction, BIM and digital twins, 3D printing, hydrological forecasting, flood-risk assessment, smart water networks, and data-driven water infrastructure management.

Submission Guidelines:

All submissions will be handled electronically using Microsoft’s CMT platform. Authors are requested not to submit papers by e-mail. By submitting a paper, the authors agree to the policies of AIRISE-2027. The corresponding author must ensure that the names, affiliations, e-mail IDs, and authorship order of all co-authors are entered correctly in the portal. Authors should select the most appropriate conference track during submission. After successful submission, a unique paper ID will be generated; authors are requested to quote this ID in all future correspondence.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Article Types:

AIRISE-2027 welcomes full-length research papers presenting original research findings, innovative methodologies, case studies, experimental investigations, computational studies, and application-oriented contributions within the conference’s scope. Review or survey papers are generally discouraged unless specifically invited by the conference organizers.

Language Style:

The official language of AIRISE-2027 is English. Manuscripts must be written in clear, grammatically correct, and professional English. Authors are strongly advised to proofread their papers carefully before submission.

Manuscript Preparation Guidelines:

  1. Title should be concise, informative, and written in title case.
  2. The manuscript must clearly present the problem statement, objectives, research gap, methodology, results, and major conclusions.
  3. The introduction should include the motivation of the study and a brief organization of the paper.
  4. Abstracts should be self-contained, and abbreviations should be avoided as far as possible.
  5. Include 5 to 8 keywords representing the core contribution of the paper.
  6. All figures must be of high quality and readable; blurred or low-resolution images should not be used.
  7. All tables and figures must be numbered sequentially and provided with appropriate captions.
  8. Tables should be editable and must not be pasted as images or screenshots.
  9. All equations must be numbered consecutively and discussed in the main text.
  10. All figures, tables, equations, and references must be cited in the text.
  11. Abbreviations should be expanded at first use; non-standard abbreviations should be avoided.
  12. Sections and subsections must be numbered properly; headings beyond three levels should be avoided.
  13. Acknowledgments, if any, should be placed after the conclusion.
  14. Author names, affiliations, and corresponding-author details must remain identical across the manuscript, submission portal, and copyright/consent forms.
  15. References must be complete, consistent, and limited to works actually cited in the manuscript.
  16. Authors should prepare the manuscript strictly according to the conference template (Word/LaTeX) available on the conference website or submission page.
  17. The manuscript length should normally remain within 10-20 pages, unless otherwise specified by the organizers.
  18. Papers should be technically sound and supported by adequate analysis, validation, and discussion.

Confidentiality:

The review process of AIRISE-2027 will be treated as strictly confidential. All submissions, reviewer comments, and editorial communications are intended solely for the purpose of peer review. Misuse or unauthorized disclosure of confidential review information is considered a serious breach of academic ethics. The conference organizers will not be responsible for the actions of individuals who violate this confidentiality expectation.

Review Process:

By submitting a manuscript to AIRISE-2027, the authors agree to a single-blind peer-review process. All papers will undergo an initial screening for scope, formatting, and ethical compliance, followed by plagiarism checking through standard software such as Turnitin, and then expert review. Authors of accepted papers may be required to revise their manuscripts in accordance with reviewer comments before final acceptance and camera-ready submission.

Plagiarism:

AIRISE-2027 respects Intellectual Property Rights. Plagiarism consists of the wrong appropriation of someone’s content, thoughts, or ideas by representing them as one’s original work. This type of ethical violation will not be tolerated by the conference under any circumstances. It should be noted that the Similarity Index and AI Writing Index of the final Camera-Ready Copy (CRC) must be below 18% and 20%, respectively, with no more than 2% similarity from a single source as verified through Turnitin.

Use of AI Tools and Disclosure Policy:

AI-based tools, including large language models, may be used only in a limited manner for language improvement, grammar correction, and formatting support. Such tools must not be used to generate the core scholarly content of the manuscript, including the research idea, methodology, analysis, results, conclusions, figures, or tables. AI tools must not be listed as authors. Any use of AI tools should be transparently disclosed in the acknowledgments section. Authors remain fully responsible for the originality, accuracy, referencing, and ethical compliance of all submitted content.

Dual / Double Submissions:

By submitting to AIRISE-2027, the authors confirm that the manuscript has not been previously published, accepted, or simultaneously submitted in substantially similar form to any other peer-reviewed venue. Any overlap with prior or concurrent submissions must be clearly disclosed and justified. Violation of this policy may result in immediate rejection and notification to the concerned venue, wherever appropriate.

Attendance Responsibilities:

If a paper is accepted, at least one author must register for the conference and present the paper during AIRISE-2027. Acceptance alone does not guarantee inclusion in the conference proceedings or any post-conference publication process. Only registered and presented papers, subject to quality and publisher requirements, will be considered for further processing. Presenting authors will receive a certificate of presentation.

Publication:

The conveners are in the process of submitting proposals to Springer, Wiley, ASCE, and other suitable publication partners for possible publication of the conference proceedings. Final publication decisions will depend on the quality of the review, conference policies, and publisher approval. Detailed updates will be announced on the official AIRISE-2027 website.

Indexing Disclaimer:

Indexing of conference proceedings, if published, will depend solely on the policies and decisions of the selected publisher and indexing agencies. AIRISE-2027 and its organizers do not have any direct control over indexing decisions.

Publication Partners:

  1. Peer-reviewed, selected and presented papers from the conference AIRISE-2027 will be submitted for publication to our publication partner Lecture Notes in Civil Engineering, Springer as a proceedings book volume. Springer will conduct quality checks on the accepted papers, and only papers that pass these checks will be published. Further, Springer Nature does not charge any money for the publication of Non-Open Access content. Abstracts/extended abstracts and short papers (less than 4 pages) are not considered for publication.
    • Article submission process: Submission will be made to the official conference email address ( airise@muj.manipal.edu ). Each submission will receive a unique paper ID, which should be mentioned in the subject line for all future communications to the conference committee. The templates for preparing and submitting your article can be found here. A full-length paper should not be more than 12 pages long, including references.
  2. A few full-length original articles in a specific area aligned with the aim and scope of the journal will be considered for publication in the Journal of Structural Design and Construction Practice as a “Special Collection” upon completion of a successful peer review process.
    • Article submission process: Authors can start submitting articles to the journal website (https://www.editorialmanager.com/jrnsceng).  During article submissions, authors must indicate that their article is submitted to “15 Artificial Intelligence for Resilient Infrastructure and Sustainable Engineering Materials (AIRISE-2027)“. The templates for preparing and submitting your article can be found here.