IC-AI: International Conference on Artificial Intelligence

The 27th International Conference on Artificial Intelligence (ICAI'25) will be held as part of The 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'25) from July 21-24, 2025, in Las Vegas, USA.

Conference Overview

ICAI is an international conference that serves researchers, scholars, professionals, students, and academicians. The primary goal of this conference is to provide a platform for researchers, scientists, industry experts, and scholars to share their novel ideas and research results on the application of human cognition models in various practical computing applications.

Publication

All accepted papers will be published by Springer Nature in the proceedings (Research Books) and indexed in major Science Citation Indexation databases including:

• Scopus
• DBLP
• EI Engineering Index; Compendex; Inspec databases
• Springer Links
• Google Scholar
• CP Citation Index, CPCI; part of Clarivate Analytics' Web of Science
• ACM Digital Library
• IO-Port
• MathSciNet
• Zentralblatt MATH, and others.

Past Publications of Proceedings/Books can be found at:
https://link.springer.com/conference/csce-1
https://link.springer.com/book/10.1007/978-3-031-85638-9
https://link.springer.com/book/10.1007/978-3-031-85884-0
https://www.degruyter.com/document/doi/10.1515/9783111344126/html
https://www.degruyter.com/document/doi/10.1515/9783111344553/html
https://www.degruyter.com/serial/ic-b/html
https://american-cse.org/csce2025/special_issues
https://ieeexplore.ieee.org/xpl/conhome/10487132/proceeding
https://ieeexplore.ieee.org/xpl/conhome/1803739/all-proceedings

Topics of Interest

Papers that address any of the following topics in the context of Artificial Intelligence are of interest:

Artificial Intelligence:

• Brain models, Brain mapping, Cognitive science
• Natural language processing
• Fuzzy logic and soft computing
• Software tools for AI
• Expert systems
• Decision support systems
• Automated problem solving
• Knowledge discovery
• Knowledge representation
• Knowledge acquisition
• Knowledge-intensive problem solving techniques
• Knowledge networks and management
• Intelligent information systems
• Intelligent data mining and farming
• Intelligent web-based business
• Intelligent agents
• Intelligent networks
• Intelligent databases
• Intelligent user interface
• AI and evolutionary algorithms
• Intelligent tutoring systems
• Reasoning strategies
• Distributed AI algorithms and techniques
• Distributed AI systems and architectures
• Neural networks and applications
• Heuristic searching methods
• Languages and programming techniques for AI
• Constraint-based reasoning and constraint programming
• Intelligent information fusion
• Learning and adaptive sensor fusion
• Search and meta-heuristics
• Multisensor data fusion using neural and fuzzy techniques
• Integration of AI with other technologies
• Evaluation of AI tools
• Social intelligence (markets and computational societies)
• Social impact of AI
• Emerging technologies
• Applications (including: computer vision, signal processing, military, surveillance, robotics, medicine, pattern recognition, face recognition, finger print recognition, finance and marketing, stock market, education, emerging applications, ...)

Machine Learning; Models, Technologies, and Applications:

• Statistical learning theory
• Unsupervised and Supervised Learning
• Multivariate analysis
• Hierarchical learning models
• Relational learning models
• Bayesian methods
• Meta learning
• Stochastic optimization
• Simulated annealing
• Heuristic optimization techniques
• Neural networks
• Reinforcement learning
• Multi-criteria reinforcement learning
• General Learning models
• Multiple hypothesis testing
• Decision making
• Markov chain Monte Carlo (MCMC) methods
• Non-parametric methods
• Graphical models
• Gaussian graphical models
• Bayesian networks
• Particle filter
• Cross-Entropy method
• Ant colony optimization
• Time series prediction
• Fuzzy logic and learning
• Inductive learning and applications
• Grammatical inference
• Graph kernel and graph distance methods
• Graph-based semi-supervised learning
• Graph clustering
• Graph learning based on graph transformations
• Graph learning based on graph grammars
• Graph learning based on graph matching
• Information-theoretical approaches to graphs
• Motif search
• Network inference
• Aspects of knowledge structures
• Computational Intelligence
• Knowledge acquisition and discovery techniques
• Induction of document grammars
• General Structure-based approaches in information retrieval, web authoring, information extraction, and web content mining
• Latent semantic analysis
• Aspects of natural language processing
• Intelligent linguistic
• Aspects of text technology
• Biostatistics
• High-throughput data analysis
• Computational Neuroscience
• Computational Statistics

Submission

Prospective authors are invited to submit their papers by uploading them to the evaluation web site at: https://american-cse.org/drafts/

Important Dates

We operate on a revolving deadline: papers are reviewed through a Fast-Track Evaluation (FTE) system, meaning that each submission is assigned to referees immediately upon receipt.

• Submission of Papers (for peer-review evaluation): Revolving Date (but by no later than July 12) - https://american-cse.org/drafts/
• Notification of Acceptance/Rejection: Will be sent about one week AFTER the date of submission.
• Registration: Revolving Date - Authors of accepted papers will find the registration deadline in their notification of acceptance. https://american-cse.org/csce2025/registration
• Final Papers for Publication: August 30, 2025
• The 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'25): July 21-24, 2025 https://www.american-cse.org/csce2025/

Note that failing to register for a conference after having a paper accepted is regarded as a breach of author ethics.