Call for Papers

The Future Technologies Conference showcases the best in contemporary systems research and practice—emphasizing innovation, evidence-based outcomes, and real-world impact. Over the years, FTC has grown into a renowned global gathering for academic researchers, PhD and graduate students, leading research institutions, and industry technology developers.

FTC stands as the world’s pre-eminent forum for breakthroughs across Artificial Intelligence, Computer Vision, Data Science, Computing, Ambient Intelligence, and related fields. See full list of conference topics here.

Previous editions have successfully united technology pioneers from around the globe—creating a venue for presenting cutting-edge methodologies, sharing impactful results, and addressing some of the most complex challenges of modern society. FTC also fosters both intra- and interdisciplinary exchange, enabling participants to spark collaborations that cross traditional boundaries.

Authors are invited to submit original, high-quality research papers in line with the conference themes. Please follow the submission schedule outlined below:

Round 1

  • Full Paper Submission Deadline: 01 February 2026
  • Notification of Acceptance: 01 March 2026
  • Camera-Ready Paper Submission: 01 April 2026
  • Conference Dates: 15-16 October 2026

Round 2

  • Full Paper Submission Deadline: 01 March 2026
  • Notification of Acceptance: 01 April 2026
  • Camera-Ready Paper Submission: 01 June 2026
  • Conference Dates: 15-16 October 2026

Submission Guidelines

  • We accept initial submission in PDF format only.
  • In adherence to the double-blind peer review policy, please ensure your paper contains no identifying author information like author details, university and country information.
  • Authors are responsible for ensuring their papers are thoroughly checked and proofread prior to submission. No revisions are permitted during the review process. If accepted, the authors may make minor revisions before final publication to address any identified areas for improvement.
  • You will be able to include full author details in the camera-ready submission, following the specified format. Author names, email addresses, and their sequence will be considered final as per the submitted camera-ready version.
  • Submissions are expected to be primarily original. While up to 25% of the text may be drawn from prior publications by the same authors, provided proper citation is included, at least 75% of the manuscript must consist of new, unpublished material.

Submissions will be taken by CMT

Post Conference Publication and Indexing

FTC 2026 proceedings will be published in Springer series "Lecture Notes in Networks and Systems" and submitted for consideration to Web of Science, SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH and SCImago.

Formatting Guidelines

  • The maximum manuscript length is 18 pages for the main text, exclusive of references and appendices up to 7 pages. Submissions exceeding this limit may be considered by the chair, particularly in the case of review or survey articles.
  • Submissions must present original research relevant to the conference topics.
  • Authors must ensure the accuracy of all sections in their paper.
  • The abstract should adhere to the 150-250 word limit as per the conference guidelines.
  • Place figures and tables where they are discussed in the text, and make sure they are clear and easy to read.
  • All figures, tables, references, appendices, algorithms, annexures, and supplementary materials must be clearly numbered, properly cited in the text.
  • Tables must be neatly aligned within the page margins and must not overflow the page boundaries.
  • Figure captions and table headings should be concise, unique, and ideally limited to a maximum of two lines.
  • References should be formatted correctly and consistently, including all the necessary details such as, author names, paper titles, publication sources, and years. Every reference listed must be cited in the main text.
  • The use of foreign languages in the manuscript is not allowed unless accompanied by a corresponding English translation.
  • Manuscripts are required to adhere to the formatting guidelines specified in the provided template.

Review Process

Submissions will undergo double-blind peer review. To ensure anonymity, please omit all author-identifying information from your manuscript, including names, affiliations, and any funding or other acknowledgments. Citations and mentions of closely related prior work should also be anonymized.

All submitted papers will be reviewed by a minimum of three regular program committee members or two senior program committee members. Acceptance decisions will be based on assessments of novelty, technical depth, elegance, impact (both practical and theoretical), and presentation quality.

  • Original: Exploring a new idea, project, issue, or offering new insights/perspectives on existing research/information.
  • Engaging: Interactive and audience-engaging, or addressing research community needs.
  • Significant: Addressing key issues related to improving current techniques' effectiveness, with easily understood and widely applicable content.
  • Quality: Substantiated by adequate data, referencing relevant existing work, and honestly acknowledging limitations.
  • Relevant: Aligned with at least one of the conference's designated tracks.

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.

Use of AI-Assisting Tools

The conference permits the responsible use of Generative AI (GenAI) tools in manuscript preparation. Authors are required to observe the following:

  • Declare Usage – Any use of GenAI must be disclosed in the manuscript (e.g., in a Declaration on Generative AI section).
  • Maintain Responsibility – Authors must critically review and edit AI-assisted text; unedited AI output is not acceptable.
  • No AI Authorship – GenAI tools cannot be listed as authors. Authorship is limited to humans who take full responsibility for the work.
  • Limit Role of AI – GenAI may support drafting and language refinement, but the development of scientific ideas, arguments, results, and conclusions must be carried out by human authors.
  • Accountability – Authors remain fully accountable for the accuracy, originality, and integrity of their manuscripts.

Note: Non-compliance with these guidelines will be treated as academic misconduct and may result in the removal of published work.

Presentation format

Oral presentation or poster. Authors can indicate their preferred presentation format while submitting the paper. The final decision whether the paper is accepted for oral presentation or as a poster lies with the Technical Programme Committee.

The event is scheduled to take place in person. However, authors who are unable to travel overseas will have the option to present their work remotely and participate virtually.

Best Paper/Poster Awards

The SAI Conference Awards honor the authors of the most outstanding paper and poster presented at the conference. The award recipients will be presented with a trophy and a certificate recognizing their achievement, which will be formally awarded during the closing session of the conference.

Conference Topics

Technology Trends

  • Internet of Things (IoT)
  • Blockchain
  • 5G/6G and Beyond Connectivity
  • Edge and Fog Computing
  • Autonomous Systems
  • Neuromorphic Systems
  • Robotics and Mechatronics
  • Applied AI
  • Industry 5.0
  • Web 4.0

AI & Machine Learning

  • Deep Learning
  • Multi-Agent and Hybrid Intelligence
  • Generative AI
  • Explainable AI
  • Large language models (LLMs)
  • Machine Learning
  • Ethical AI
  • Reinforcement Learning
  • Digital Twins
  • AI for Climate and Sustainability

Human–Digital Interaction

  • Human Computer Interaction (HCI)
  • Immersive Technologies (AR, VR)
  • Multimodal Interfaces
  • Wearable Computing
  • Brain Computer Interfaces
  • Human-AI Co-Creation
  • Inclusive Design
  • Context Aware Environments
  • 3D Spatial Computing
  • Geographic Information Systems

Data Science

  • Data Mining
  • Predictive Modeling
  • Data Analytics
  • Data Fusion
  • Sentiment Analysis
  • Natural Language Processing
  • Information Retrieval
  • Cloud-Native Data Processing
  • Speech Technologies
  • AI-Augmented Data Science

Future Computing Architectures

  • Quantum Computing
  • Neuromorphic Computing
  • High Performance Computing
  • Human-Centered Computing
  • Social Computing
  • Cloud, and Edge Architectures
  • Grid Computing
  • Distributed Computing
  • Cognitive Systems
  • Complex and Adaptive Systems

Ambient Intelligence

  • Smart Cities
  • Smart Grids and Energy Networks
  • Sensing and Sensor Networks
  • Ambient Assisted Living
  • Smart Healthcare
  • Intelligent Transportation
  • Smart Manufacturing
  • Industrial IoT
  • Sustainable AI
  • Autonomous Vehicles

Security

  • Cybersecurity Frameworks
  • Threat Intelligence
  • Cryptography
  • Quantum-Resistant Security
  • Internet and Cloud Security
  • Digital Identity and Biometrics
  • Trusted Architectures
  • Privacy-Preserving AI
  • Decentralized Technologies
  • Ethics, Trust, and Policy

Learning Technologies

  • AI in Education
  • e-Learning Tools
  • Gamified Learning
  • Virtual Learning Ecosystems
  • Social Learning Technologies
  • Curriculum Design
  • Learning Analytics
  • Personalized Learning
  • Accessibility and Inclusivity
  • Delivery Systems and Environments