KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems
Call For Paper (CFP) Description
We are pleased to announce that the KES 2025 conference will take place in the beautiful city of Osaka, Japan, organised by KES International.
The conference will be held in Osaka, Japan. Osaka is a large port city and commercial center on the Japanese island of Honshu. It's known for its modern architecture, nightlife and hearty street food. The 16th-century shogunate Osaka Castle, which has undergone several restorations, is its main historical landmark. It's surrounded by a moat and park with plum, peach and cherry-blossom trees. Sumiyoshi-taisha is among Japan’s oldest Shinto shrines.
The conference will consist of keynote talks, oral and poster presentations, invited sessions and workshops, on the applications and theory of intelligent systems and related areas.
The conference proceedings will be published in Elsevier's Procedia Computer Science open access journal, available in ScienceDirect and submitted to be indexed/abstracted in CPCi (ISI conferences and part of Web of Science), Engineering Index, and Scopus. The conference is ranked 'B in the CORE conference ranking system'.
The General Tracks are as follows:-
G1: Machine Learning, Artificial Neural Networks and Deep Learning
This track will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning in different application fields with especial emphasis on the design of those systems, are particularly encouraged.
The topics of interest include (but are not limited to):
computational learning theory
cooperative learning
federated Learning and distributed IA
distributed and parallel learning algorithms and applications
feature extraction and classification
hybrid learning algorithms
inductive learning
instance-based learning
knowledge discovery in databases
knowledge intensive learning
learning through mobile data mining
machine learning and information retrieval
machine learning for web navigation and mining
multi-strategy learning
neural network learning
online and incremental learning
reinforcement learning
scalability of learning algorithms
statistical learning
text and multimedia mining through machine learning
machine learning for natural language processing
Chair: Assoc. Prof. Ahmed Samet INSA Strasbourg, France
G2: Knowledge Based and Expert Systems
This track covers knowledge-based systems and expert systems, both theoretical research and its applications. Contributions using techniques in knowledge-based systems and expert systems applied to real-world problems, as well as interdisciplinary research involving knowledge-based systems and expert systems in different application fields, are particularly encouraged.
The topics of interest include (but are not limited to):
Knowledge-Based Systems and Expert systems
Knowledge Management and Decision-Support Systems
Knowledge Engineering and Modelling
Knowledge Acquisition, Knowledge Elicitation and Negotiation
Knowledge Representation and Decision Making, Knowledge Preferences, Causality, Decision/Utility Theory, Probabilistic Inference, Relational Probabilistic Models, Sequential Decision Making, Stochastic Optimization,
Uncertainty Representations, Uncertainty in AI, Bayesian Networks
Reasoning and Reasoning strategies: Ontologies Reasoning, Automated Reasoning, Case-Based Reasoning, Common-Sense Reasoning, Computational Complexity of Reasoning, Description Logics, Diagnosis and Abductive Reasoning, Nonmonotonic Reasoning, Qualitative Reasoning, and Reasoning with Beliefs
Tools, and Methodologies for Representing, Managing, and Visualizing contents and decision-making
Visualization and Graphical Models
Other topics of interest are (but are not limited to):
E-Learning, E-Business, E-Commerce Web Intelligence, Intelligent Web-based Systems
Web Personalization and User Modeling AI Web systems: Data Analytics, Multimedia and Multimodal Web Applications
Web Services: Semantic Descriptions, Planning, Matching, and Coordination, Web-Based Collaboration and Cooperation Crowdsourcing Techniques and Methodologies Web Search and Information Retrieval
Open Data Human Language Technologies for Web Systems
Text Summarization and Machine Translation Intelligent User Interfaces for Web Systems
Knowledge Acquisition from the Web Languages
Semantic Web Data Searching, Querying
Visualizing, and Interpreting the Semantic Web Social Networking and Community Identification
Web-Based Recommendation Systems, Web-Based Opinion Extraction and Trend Spotting.
Chair: Prof. Anne Hakansson UiT The Arctic University of Norway, Norway
G3: Intelligent Information and Engineering Systems
G3 track covers both intelligent information and engineering systems (G3a) and Cybersecurity (G3b), theoretical research and applications.
Intelligent information and engineering systems is a broad topic and includes contributions describing techniques handling real-world problems. It also includes research involving intelligent information and engineering in different application fields.
The topics of interest include (but are not limited to):
Natural Language Processing
Agent and Multi-Agent Systems
Bio-inspired Systems
Nature Inspired Methods and Optimization
Image Processing and Signal Processing
Machine & Computer Vision
Monitoring and Prediction
Speech Processing and Synthesis
Chair: TBC
G4: Industry Applications
This track covers Industry Applications. Contributions describing industry application techniques applied to real-world problems and interdisciplinary research involving industry applications in different application fields, with especial emphasis on industry, are particularly encouraged.
Multi-Sensor Information Systems
Dimensionality Reduction and Interactive Multivariate Data Visualization/Analysis
Organisation Memories
Industrial Control
Fault Diagnosis
Image Processing
Medical & Diagnostic Systems
Environmental Monitoring
Power Electronics & Drives, High Voltage Systems
Robotics
Engine Control and Vehicle Applications, Smart Vehicles and AGVs, Signal and Time Series Processing
Wavelets
Industrial communication standards (OPCUA, MqTT, DDS), Minifactories
Industry 4.0 applications, Financial & Stock Market
Dashboards, real time networking
Time Sensitive Networks, Industrial Wireless (5G, ZigBee)
Chair: TBC
The conference will be held in Osaka, Japan. Osaka is a large port city and commercial center on the Japanese island of Honshu. It's known for its modern architecture, nightlife and hearty street food. The 16th-century shogunate Osaka Castle, which has undergone several restorations, is its main historical landmark. It's surrounded by a moat and park with plum, peach and cherry-blossom trees. Sumiyoshi-taisha is among Japan’s oldest Shinto shrines.
The conference will consist of keynote talks, oral and poster presentations, invited sessions and workshops, on the applications and theory of intelligent systems and related areas.
The conference proceedings will be published in Elsevier's Procedia Computer Science open access journal, available in ScienceDirect and submitted to be indexed/abstracted in CPCi (ISI conferences and part of Web of Science), Engineering Index, and Scopus. The conference is ranked 'B in the CORE conference ranking system'.
The General Tracks are as follows:-
G1: Machine Learning, Artificial Neural Networks and Deep Learning
This track will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning in different application fields with especial emphasis on the design of those systems, are particularly encouraged.
The topics of interest include (but are not limited to):
computational learning theory
cooperative learning
federated Learning and distributed IA
distributed and parallel learning algorithms and applications
feature extraction and classification
hybrid learning algorithms
inductive learning
instance-based learning
knowledge discovery in databases
knowledge intensive learning
learning through mobile data mining
machine learning and information retrieval
machine learning for web navigation and mining
multi-strategy learning
neural network learning
online and incremental learning
reinforcement learning
scalability of learning algorithms
statistical learning
text and multimedia mining through machine learning
machine learning for natural language processing
Chair: Assoc. Prof. Ahmed Samet INSA Strasbourg, France
G2: Knowledge Based and Expert Systems
This track covers knowledge-based systems and expert systems, both theoretical research and its applications. Contributions using techniques in knowledge-based systems and expert systems applied to real-world problems, as well as interdisciplinary research involving knowledge-based systems and expert systems in different application fields, are particularly encouraged.
The topics of interest include (but are not limited to):
Knowledge-Based Systems and Expert systems
Knowledge Management and Decision-Support Systems
Knowledge Engineering and Modelling
Knowledge Acquisition, Knowledge Elicitation and Negotiation
Knowledge Representation and Decision Making, Knowledge Preferences, Causality, Decision/Utility Theory, Probabilistic Inference, Relational Probabilistic Models, Sequential Decision Making, Stochastic Optimization,
Uncertainty Representations, Uncertainty in AI, Bayesian Networks
Reasoning and Reasoning strategies: Ontologies Reasoning, Automated Reasoning, Case-Based Reasoning, Common-Sense Reasoning, Computational Complexity of Reasoning, Description Logics, Diagnosis and Abductive Reasoning, Nonmonotonic Reasoning, Qualitative Reasoning, and Reasoning with Beliefs
Tools, and Methodologies for Representing, Managing, and Visualizing contents and decision-making
Visualization and Graphical Models
Other topics of interest are (but are not limited to):
E-Learning, E-Business, E-Commerce Web Intelligence, Intelligent Web-based Systems
Web Personalization and User Modeling AI Web systems: Data Analytics, Multimedia and Multimodal Web Applications
Web Services: Semantic Descriptions, Planning, Matching, and Coordination, Web-Based Collaboration and Cooperation Crowdsourcing Techniques and Methodologies Web Search and Information Retrieval
Open Data Human Language Technologies for Web Systems
Text Summarization and Machine Translation Intelligent User Interfaces for Web Systems
Knowledge Acquisition from the Web Languages
Semantic Web Data Searching, Querying
Visualizing, and Interpreting the Semantic Web Social Networking and Community Identification
Web-Based Recommendation Systems, Web-Based Opinion Extraction and Trend Spotting.
Chair: Prof. Anne Hakansson UiT The Arctic University of Norway, Norway
G3: Intelligent Information and Engineering Systems
G3 track covers both intelligent information and engineering systems (G3a) and Cybersecurity (G3b), theoretical research and applications.
Intelligent information and engineering systems is a broad topic and includes contributions describing techniques handling real-world problems. It also includes research involving intelligent information and engineering in different application fields.
The topics of interest include (but are not limited to):
Natural Language Processing
Agent and Multi-Agent Systems
Bio-inspired Systems
Nature Inspired Methods and Optimization
Image Processing and Signal Processing
Machine & Computer Vision
Monitoring and Prediction
Speech Processing and Synthesis
Chair: TBC
G4: Industry Applications
This track covers Industry Applications. Contributions describing industry application techniques applied to real-world problems and interdisciplinary research involving industry applications in different application fields, with especial emphasis on industry, are particularly encouraged.
Multi-Sensor Information Systems
Dimensionality Reduction and Interactive Multivariate Data Visualization/Analysis
Organisation Memories
Industrial Control
Fault Diagnosis
Image Processing
Medical & Diagnostic Systems
Environmental Monitoring
Power Electronics & Drives, High Voltage Systems
Robotics
Engine Control and Vehicle Applications, Smart Vehicles and AGVs, Signal and Time Series Processing
Wavelets
Industrial communication standards (OPCUA, MqTT, DDS), Minifactories
Industry 4.0 applications, Financial & Stock Market
Dashboards, real time networking
Time Sensitive Networks, Industrial Wireless (5G, ZigBee)
Chair: TBC
Conference Topics
Frequently Asked Questions
What is KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems is Submit Your Paper to the World Disability Conference – Call for Papers
How do I submit my paper to KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
Submit your paper via the official submission portal at http://kes2025.kesinternational.org/. Follow the submission guidelines outlined in the CFP.
How do I register for the KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
Register at http://kes2025.kesinternational.org/. Early registration is recommended to secure your spot and avail discounts.
What topics are accepted at KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
The topics accepted at KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems include machine learning, artificial neural networks, statistical learning, industry applications. Papers that explore innovative ideas or solutions in these areas are highly encouraged.
What are the important dates for KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
- Start Date: 10 Sep, 2025
- End Date: 12 Sep, 2025
- End Date: 12 Sep, 2025
What is the location and date of KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems will be held on 10 Sep, 2025 - 12 Sep, 2025 at Osaka, Japan. More details about the event location and travel arrangements can be found on the conference’s official website.
What is the location of KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems will be held at Osaka, Japan.
Can I submit more than one paper to KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
Yes, multiple submissions are allowed, provided they align with the conference’s themes and topics. Each submission will be reviewed independently.
What is the review process for submissions?
Papers will be reviewed by a panel of experts in the field, ensuring that only high-quality, relevant work is selected for presentation. Each paper will be evaluated on originality, significance, and clarity.
What presentation formats are available at KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
Presentations can be made in various formats including oral presentations, poster sessions, or virtual presentations. Specific details will be provided upon acceptance of your paper.
Can I make changes to my submission after I’ve submitted it?
Modifications to your submission are allowed until the submission deadline. After that, no changes can be made. Please make sure all details are correct before submitting.
What are the benefits of attending KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems?
Attending KES 2025 : 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems provides an opportunity to present your research, network with peers and experts in your field, and gain feedback on your work. Additionally, it is an excellent platform for career advancement and collaboration opportunities.
What should I include in my abstract or proposal submission?
Your abstract or proposal should include a concise summary of your paper, including its purpose, methodology, and key findings. Ensure that it aligns with the conference themes.