The International Conference on Cognitive and Intelligent Systems (ICogSys 2026) invites original research contributions describing pioneering advances in cognitive artificial intelligence, machine learning, and intelligent systems.
We invite submissions from researchers, practitioners, and industry professionals working on cutting-edge AI technologies, including cognitive architectures, machine learning, computer vision, cyber-physical systems, trustworthy AI, edge intelligence, and AI-enabled digital infrastructure.
Proceedings Publication with Springer
The peer-reviewed and selected papers presented at ICogSys 2026 are planned to be published by Springer in the prestigious Lecture Notes in Networks and Systems (LNNS) book series. The Springer Editorial Board has approved the publication of one proceedings volume for ICogSys 2026 in the Lecture Notes in Networks and Systems (LNNS) series. The proceedings volume will include a maximum of 50 selected papers.
All submissions will undergo a rigorous peer-review process coordinated by the Technical Program Committee. Accepted papers presented at the conference will be considered for inclusion in the Springer proceedings. Prior to publication, Springer will perform its standard quality and integrity checks. Only papers that successfully satisfy these checks and comply with Springer's publication policies will be included in the final proceedings volume. For detailed author guidelines for Springer conference proceedings, please visit the Springer conference proceedings page.
All communication regarding the conference proceedings should be directed to the ICogSys 2026 Organizing Committee. Authors are kindly requested not to contact Springer directly regarding submissions, reviews, or publication matters.
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Topics of Interest
Topics of interest include, but are not limited to:
1. Cognitive Artificial Intelligence
- ▹ Cognitive architectures and reasoning systems
- ▹ Knowledge representation and inference
- ▹ Human–AI interaction and cognitive computing
- ▹ Neuro-symbolic AI and hybrid reasoning systems
2. Machine Learning and Intelligent Algorithms
- ▹ Advanced machine learning methods
- ▹ Reinforcement learning and sequential decision systems
- ▹ Multi-agent learning and collective intelligence
- ▹ Autonomous and adaptive decision systems
3. Computer Vision, Image, and Signal Processing
- ▹ Image processing and pattern recognition
- ▹ Computer vision and video analytics
- ▹ Signal processing for intelligent systems
- ▹ Sensor data analysis and multimodal perception
4. Trustworthy and Responsible AI
- ▹ Explainable and interpretable AI
- ▹ Ethical AI and responsible AI systems
- ▹ AI governance, regulation, and policy frameworks
- ▹ Robust, safe, and secure AI systems
5. Distributed Systems, Cloud, and Intelligent Infrastructure
- ▹ Cloud computing and distributed AI systems
- ▹ Software-defined networking and programmable networks
- ▹ Edge–cloud architectures for intelligent services
- ▹ Digital infrastructure for large-scale AI deployment
6. Cyber-Physical Systems, Robotics, and Digital Twins
- ▹ Intelligent cyber-physical systems
- ▹ Autonomous robotics and intelligent environments
- ▹ Smart sensing systems and infrastructure monitoring
- ▹ Digital twins and simulation-driven intelligence
7. AI for Public Infrastructure and Smart Cities
- ▹ AI-driven public safety and surveillance systems
- ▹ Smart city analytics and urban intelligence
- ▹ Intelligent monitoring of transportation and utilities
- ▹ Disaster response and emergency management systems
8. Digital Governance, DPI, and Sovereign AI
- ▹ Digital Public Infrastructure (DPI) architectures
- ▹ Multilingual AI for citizen services and governance
- ▹ Secure and auditable AI systems for public platforms
- ▹ Voice-enabled digital public services and compliance systems
9. AI for Finance, Industry, Agriculture, and Mobility
- ▹ AI for financial systems and fintech security
- ▹ Intelligent transportation and mobility analytics
- ▹ Precision agriculture and environmental intelligence
- ▹ Industrial AI and predictive decision systems
10. Edge AI, Embedded Intelligence, and Intelligent Hardware
- ▹ Edge AI and resource-efficient machine learning
- ▹ Embedded AI systems and intelligent devices
- ▹ Hardware acceleration for machine learning (FPGA/ASIC/GPU)
- ▹ Intelligent sensing and real-time edge analytics
11. AI-Driven Cybersecurity and Cyber-Resilience
- ▹ AI for threat detection and incident response
- ▹ Security of LLMs and generative AI systems
- ▹ Zero-trust architectures and identity intelligence
- ▹ Deepfake detection and media authenticity
12. Generative AI and Foundation Models
- ▹ Large Language Models (LLMs) and multimodal foundation models
- ▹ Diffusion models, GANs, and AI-generated content
- ▹ Efficient fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
- ▹ Evaluation, alignment, and safety of generative AI systems
13. AI for Healthcare and Biomedical Systems
- ▹ Medical image analysis, diagnostic AI, and clinical decision support
- ▹ Wearable health monitoring and patient risk prediction
- ▹ Drug discovery, genomics, and personalized medicine
- ▹ Federated learning and privacy-preserving AI in healthcare
14. Green AI and Sustainable Computing
- ▹ Energy-efficient machine learning algorithms and model compression
- ▹ Carbon-aware computing and sustainable AI infrastructure
- ▹ AI for climate change, renewable energy, and environmental monitoring
- ▹ Lifecycle assessment of AI systems and green software engineering
Submission Categories
Full Research Papers
Original research contributions presenting theoretical advances, algorithms, models, or experimental studies related to cognitive and intelligent systems.
Application and System Papers
Papers describing implemented intelligent systems, prototypes, or applied solutions demonstrating practical applications of intelligent technologies. Submissions should clearly explain system design, architecture, evaluation, and practical insights.
Review Process
All submissions will undergo a rigorous double-blind peer review process conducted by the Technical Program Committee.
Each paper will be evaluated by at least two to three independent reviewers based on originality, technical quality, relevance to the conference themes, clarity of presentation, and significance of contributions.
Author identities and affiliations must be anonymized in the submitted manuscript. Reviewers will also remain anonymous to the authors throughout the review process.
Plagiarism and AI Policy: All submissions will be screened for plagiarism using professional detection tools. Manuscripts found to contain plagiarized content will be rejected without further review. In accordance with Springer guidelines, the use of generative AI tools (such as ChatGPT or similar) to generate substantial portions of text, figures, or code is strictly prohibited. AI tools may only be used to improve language and readability, and such use must be disclosed in the acknowledgements section. The authors remain fully responsible for the originality, accuracy, and integrity of their work. Any violation of this policy will result in immediate rejection and may be reported to the authors' institutions.
Accepted papers will be presented at the conference and included in the conference proceedings.
Journal Special Issues
Selected papers will be published in reputed journals as special issues
Extended versions of high-quality accepted papers will be invited for submission to partner journals.
Detailed Information Coming Soon
Detailed submission instructions, templates, and submission deadlines will be announced soon.