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 Granular Computing

Symposium Overview: Granular Computing (GrC) is a computational paradigm based on information granularity, aimed at simplifying the problem-solving process through abstraction and hierarchical processing of complex systems. Granular Computing focuses not only on the representation and processing of information but also emphasizes knowledge discovery and reasoning capabilities in uncertain and fuzzy environments. Its core theories include fuzzy sets, rough sets, quotient space, cloud models, and tri-branch decision theory, which provide a solid foundation for handling complex data and building intelligent systems. This conference aims to gather the latest research findings in the field of Granular Computing, promoting its application and development in knowledge discovery, intelligent decision-making, and big data analysis. We warmly invite researchers from academia and industry to submit high-quality papers and join us in exploring the cutting-edge theories, methods, and applications of Granular Computing.

Topics of Interest Include (but not limited to):

1.Theoretical foundations and methodologies of Granular Computing

2.Applications and integration of fuzzy sets and rough sets in Granular Computing

3.Quotient space theory and its application in multi-scale data analysis

4.Cloud models in pattern recognition and data mining

5.Tri-branch decision theory in intelligent decision-making systems

6.Integration of Granular Computing with machine learning and deep learning

7.Granular Computing in big data analysis and knowledge discovery

8.Granular Computing and the challenges of interpretable artificial intelligence and trusted systems

9.Applications of Granular Computing in complex system modeling and optimization

10.Integration of Granular Computing with brain-computer interfaces and smart environments

 

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

 

Ⅴ: NTCI 2025 Symposium on Intelligent Computing and Pattern Recognition

Session Overview: With the rapid advancement of artificial intelligence technology, intelligent computing serves as a core engine for efficiently processing complex data and deeply integrates with pattern recognition—a key application field. This synergy is reshaping numerous sectors such as healthcare, transportation, finance, and industry, continuously transforming the paradigms of scientific research and industrial innovation. We cordially invite experts and scholars in the field to discuss the latest research advances in intelligent computing and pattern recognition, exchange academic ideas, and promote interdisciplinary collaboration as well as industry-academia-research integration.

Topics of interest include (but are not limited to):

 1.Intelligent optimization algorithms and applications

 2.Theoretical models and frameworks of computational intelligence

 3.Hybrid intelligent systems and ensemble learning

 4.Big data-driven intelligent computing

 5.High-performance intelligent computing and distributed algorithms

 6.Complex system modeling and simulation

 7.Computer vision and image/video understanding

 8.Speech recognition and natural language processing

 9.Feature extraction, selection, and dimensionality reduction techniques

 10.Multimodal information fusion and cross-modal learning

 11.Generative AI and large model technology with applications

 12.AI and IoT intelligent perception

 13.Intelligent unmanned systems, autonomous driving, and robotics

 14.Pattern recognition and intelligent decision-making in smart cities

 15.Industrial intelligence and defect detection

 16.Bioinformatics and health big data analysis