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

II.NTCI 2025 Symposium on Fuzzy Systems

Symposium Overview: Fuzzy systems represent a foundational pillar of computational intelligence, offering powerful tools for modeling uncertainty, imprecision, and human reasoning. With the growing emphasis on interpretability, robustness, and hybrid intelligence, fuzzy systems continues to evolve and intersect with cutting-edge fields such as machine learning, brain–computer interfaces, cyber-physical systems, and big data analytics.

This symposium invites high-quality submissions that advance the theoretical foundations, design methodologies, and real-world applications of fuzzy systems. We welcome interdisciplinary contributions that integrate fuzzy logic with neural, evolutionary, probabilistic, and symbolic paradigms, as well as those addressing emerging challenges such as big data, cyber-physical systems, human–machine interfaces, and sustainable AI.

Topics of Interest Include (but not limited to):

 1.Theory and design of fuzzy systems

 2.Fuzzy data analysis, clustering, classification, and pattern recognition

 3.Fuzzy learning and reasoning, and knowledge representation

 4.Fuzzy information processing, fusion, and extraction from heterogeneous data 

 5.Type-2 fuzzy sets, granular computing and fuzzy information granulation

 6.Integration of fuzzy logic with machine learning, deep learning, or probabilistic models

 7.Fuzzy modeling, system identification, and fault diagnosis

 8.Fuzzy systems for decision-making under uncertainty

 9.Explainability, transparency, and fairness in fuzzy inference

 10.Human-in-the-loop fuzzy reasoning and interaction

 11.Fuzzy control and real-time embedded systems

 12.Applications in robotics, autonomous systems, healthcare, energy, and smart environments …

 13.Fuzzy Systems and Brain–Computer Interfaces: involving EEG, fNIRS, MEG, ECoG, and peripheral signals such as EOG and ECG

 14.Emerging topics at the intersection of fuzzy logic, explainable AI, and trustworthy systems

Ⅲ.NTCI 2025 Symposium on Advances in Intelligent Oil and Gas Exploration and Development

Symposium Overview: Against the background of global energy transition and increasingly complex exploration and development scenarios, artificial intelligence technologies are accelerating the intelligent transformation of the oil and gas industry. This sub-symposium, themed “Deep Integration of Artificial Intelligence with Oil and Gas Exploration and Development,” will focus on cutting-edge applications of deep learning, multimodal data fusion, large-scale models, and digital twin technologies in geophysical exploration, reservoir characterization and modeling, and fracture reservoir prediction. Experts will jointly analyze the latest developments, discuss key technical challenges, and envision future innovation directions in this field.

Topics of Interest Include (but not limited to):

 1.Intelligent prediction of lithology and sedimentary facies

 2.Intelligent characterization of complex fractured reservoirs and 3D geological modeling 

 3.Intelligent technologies for 3D geological modeling and sweet spot prediction in oil and gas reservoirs 

 4.Theories and methods for explainable AI models in oil and gas applications

 5.Construction and application of large-scale models in oil and gas exploration and development

 6.Innovative practices of digital twin technologies in smart oilfield development.

Ⅳ.NTCI 2025 Symposium on Data-Driven Learning and Optimization

Symposium Overview: Data-driven learning, as a core driver of intelligent system development, is profoundly transforming fields such as manufacturing, finance, and biomedicine. However, with the continuous growth of data volume and model complexity, issues such as computational cost, optimization efficiency, model adaptability, and security control have become critical bottlenecks. Achieving efficient, scalable, and controllable optimization has thus emerged as a key challenge. This forum invites high-quality submissions focusing on theoretical advances, algorithmic innovations, and practical applications in data-driven learning and optimization. We welcome interdisciplinary research contributions, including efficient optimization frameworks for large-scale data and complex systems, novel approaches integrating dynamic optimization, transfer learning, automated machine learning, and deep neural networks, as well as explorations addressing frontier challenges such as adaptive optimization in open environments, cross-domain knowledge transfer, and multimodal data fusion.

Topics of Interest Include (but not limited to):  

 1.Theoretical analysis and optimization of deep learning models

 2.Data-driven strategy optimization in reinforcement learning

 3.Optimization strategies for multimodal data fusion

 4.Data-driven meta-heuristic algorithm optimization

 5.Distributed data-driven optimization algorithms

 6.Optimization of data-driven learning in biomedical and healthcare applications

 7.Data-driven risk prediction and optimization in financial technology

 8.Data-driven production optimization in intelligent manufacturing

 9.Adaptive data preprocessing methods based on data-driven learning

 10.Optimization of personalized learning paths in education through data-driven approaches

 11.Optimization of data-driven learning in medical image diagnostics