Call for Symposia Proposals for NTCI 2025

The International Conference on New Trends in Computational Intelligence (NTCI) has been held for 6 sessions since 2016, with over 5,000 participants in total. It serves as a pivotal international conference in the field of computational intelligence, garnering significant attention from researchers. A total of 53 top experts, including academicians, IEEE Fellows, and journal editors in the field of computational intelligence from around the globe, have delivered 78 invited reports. Since 2023, the conference has achieved stable EI indexing, with more than 200 academic papers included to date. It provides a platform for researchers, practitioners, and scholars in computational intelligence to focus on discussing new fields, designs, and applications, having become an influential international platform in the field.

The 7th International Conference on New Trends in Computational Intelligence (NTCI 2025) will take place in Jinan, China from October 17 to 19, 2025. To ensure the conference's high-quality execution, encourage active participation from researchers and engineering professionals, and comprehensively showcase new advancements and research achievements in computational intelligence and related fields at home and abroad, the conference now invites proposals for NTCI 2025 symposia from the entire industry. Relevant units and experts are cordially invited to support and undertake the symposia!

I. Overview of NTCI 2025 Symposia

(1) Symposia Theme Directions

    Symposia themes can be planned around directions such as models and algorithms (e.g., machine learning, multi-objective optimization, image processing, quantum machine learning, etc.), and theories and applications (e.g., space information, smart healthcare, IoT engineering, material genome engineering, network information security, intelligent oil & gas field development, intelligent marine engineering, intelligent operations research & optimization, etc.).

(2) Symposia Forms

    NTCI 2025 symposia support diverse formats, including but not limited to special report sessions, round-table dialogues, group discussions, and interactive seminars. All symposia will be held offline.

(3) Symposia Schedule

    NTCI 2025 will be held from October 17 to 19, 2025, with symposia conducted concurrently with the main conference.

(4) Symposia Venue

    Offline venues for all symposia will be the same as the main conference venue in Jinan.

II. Undertaking Requirements

(1) Applicant units/individuals must have relevant work experience, strong resource mobilization and conference organization capabilities, and actively cooperate with the conference's overall arrangements.

(2) Each symposia may set its own theme and appoint 1-3 symposium chairs, who should possess influence and prestige in the relevant field.

(3) Each symposia must solicit at least 5 contributions (long abstracts or papers, with at least 4 being papers), and chairs may invite one Keynote report.

III. Organizing Committee Support

The Organizing Committee will provide venue services, financial support, on-site facilities, and other resources, and recommend outstanding papers to SCI journals. 

IV. Additional Notes

(1) For unmentioned matters, please consult the Organizing Committee.

(2) The Organizing Committee reserves the right to interpret these symposia application guidelines.

(3) For specific matters of symposia application, please consult the organizing committee in advance (Ms. Wang: +86-13061345702; Ms. Yang: +86-15053818666).

Symposia for NTCI 2025

I. NTCI 2025 Symposium on Advances in Neural Networks and Machine Learning 

Symposium Overview:This session brings together cutting-edge research and innovative applications in the field of neural networks and machine learning. Experts will present their latest findings on deep learning architectures, optimization techniques, and real-world implementations across various domains, including computer vision, natural language processing, signal processing and reinforcement learning. Attendees will gain insights into emerging trends, challenges, and future directions in this rapidly evolving field.

Topics of Interest Include (but not limited to):

  1.Novel neural network architectures (e.g., transformers, GANs, spiking neural networks)

  2.Scalable and efficient training algorithms

  3.Explainability and interpretability in deep learning

  4.Federated learning and privacy-preserving ML

  5.Applications in healthcare, robotics, finance, and more