AI-TECH 2025 Workshop Call for Papers

International Workshop on Advanced Intelligent Technologies (AI-TECH 2025)

Co-located with
the 14th International Conference on Computational Social Networks (CSoNet 2025)

Date: December 14-16, 2025
Location: Vietnam-Korea University of Information and Communication Technology (VKU), Danang City, Vietnam
Website: https://csonet-conf.github.io/csonet25/index.html

Original research papers, case studies, and demonstrations exploring the latest advancements in intelligent technologies are invited to be submitted to the International Workshop on Advanced Intelligent Technologies (AI-TECH 2025). As industries and societies continue to be transformed by artificial intelligence, machine learning, and related fields, interdisciplinary collaboration is aimed to be fostered and cutting-edge developments that address real-world challenges and opportunities are intended to be showcased at AI-TECH 2025. A unique platform for interdisciplinary exchange among AI experts, data scientists, and social network researchers is provided by being held alongside CSoNet 2025.

Topics of Interest

Submissions are welcomed on a wide range of topics, including but not limited to:

  • Artificial Intelligence and Machine Learning Innovations
  • Deep Learning Architectures and Applications
  • Natural Language Processing and Understanding
  • Computer Vision and Image Processing
  • Robotics and Autonomous Systems
  • Explainable AI and Trustworthy Intelligent Systems
  • AI for Healthcare, Sustainability, and Social Good
  • Edge Intelligence and IoT Integration
  • Reinforcement Learning and Decision-Making Systems
  • Human-AI Collaboration and Interaction
  • Ethical, Legal, and Societal Implications of Intelligent Technologies
  • Generative AI and Creative Applications
  • Cybersecurity in Intelligent Systems
  • Quantum Computing and AI
  • AI in Social Computing and Network Analysis
  • Large Language Models and Their Applications
  • Federated Learning and Privacy-Preserving AI
  • ...

Submission Guidelines

  • Papers must be formatted using the LNCS format without margins or font point being altered.
  • A maximum length of 12 pages (including references) must be maintained for regular papers.
  • Proofs that are omitted due to space constraints must be placed in an appendix to be read by the program committee members at their discretion.
  • All submissions must be original work that has not been previously published or is under review by another conference or journal.
  • The workshop must be registered for by at least one author of each accepted paper and the paper must be presented.

Submission Portal: TBD

Important Dates

Submission Deadline: July 30, 2025
Notification of Acceptance: September 1, 2025
Camera-Ready Submission: September 20, 2025
Workshop Date: December 14-16, 2025 (aligned with CSoNet 2025)

All deadlines are 11:59 PM Anywhere on Earth (AoE).

Publication

Accepted papers will be included in the CSoNet 2025 proceedings, which are published by Springer in the Lecture Notes in Computer Science (LNCS) series. Select high-quality papers may be invited for extended submission to a special journal issue [TBD].

Workshop Format

Keynote talks, paper presentations, interactive sessions, and poster demonstrations will be featured at AI-TECH 2025, which will be run in parallel with CSoNet 2025. Access to both events will be provided to attendees, by which cross-pollination of ideas between intelligent technologies and computational social networks is encouraged.

Why Submit?

  • Present your work to a diverse audience of AI and social network experts.
  • Leverage the co-location with CSoNet 2025 for enhanced visibility and networking.
  • Contribute to shaping the future of intelligent technologies in networked systems.

Contact

For questions, email hxhiep@ctu.edu.vn.

Your submissions are looked forward to and your presence at AI-TECH 2025, co-located with CSoNet 2025, is anticipated!

Organizing Committee

Workshop Chairs:

Program Committee Chairs:

Technical Program Committee Members