The 38th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
(Only in Person)
The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) is a leading IEEE-CS annual scientific meeting for three decades. It provides a major international forum where the creation and exchange of ideas related to artificial intelligence are fostered among academia, industry, and government agencies. The conference facilitates the cross-fertilization of these ideas and promotes their transfer into practical tools, for developing intelligent systems and pursuing artificial intelligence applications. The ICTAI encompasses all technical aspects of specifying, developing and evaluating the theoretical underpinnings and applied mechanisms of the AI-based components of computer tools such as algorithms, architectures and languages.
Important Dates
Paper Submission: June 30, 2026
Paper Notification: September 10, 2026
Camera Ready: September 25, 2026
Conference Categories
AI Foundations
- Evolutionary computing, Bayesian and Neural Networks
- Decision/Utility Theory and Decision Optimization
- Search, SAT, and CSP
- Description Logic and Ontologies
AI in Domain-specific Applications
- AI in Computational Biology, Medicine and Biomedical Applications
- AI in WWW, Communication, Social Networking, Recommender Systems, Games and E-Commerce
- AI in Finance and Risk Management
AI in Computer Systems
- AI in Robotics, Computer Vision and Games
- AI in Natural Language Processing
- AI in Software Engineering, Real-Time and Embedded Applications, and Sensor Networks
- AI in Cloud Computing, Data-Intensive Applications and Online/Streaming and Multimedia Systems
- AI in Web Search and Information Retrieval
- AI in Computer Security, Data Privacy, and Information Assurance
AI in Data Analytics and Big Data
- Visual Analytics for Big Data
- Computational Modeling for Big Data
- Large-scale Recommendation and Social Media Systems
- Cloud/Grid/Stream Data Mining for Big Velocity Data
- Semantic-based Big Data Mining
AI in Smart Cities
- Healthcare, Traffic, Transportation, Environment, etc.
AI Synergistic models
- Bridging AI Models for Advanced AI.
AI and Societal Impact
- AI Fairness, Accountability and Transparency
- AI interpretability and explainability
- Ethical and Trustworthy AI
- Dimension Reduction and Feature Selection computing
- Learning Graphical Models and Complex Networks
- Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Mulit-Task Learning
- Transfer/Adaptive, Rational and Structured Learning
- Preference/Ranking, Ensemble, and Reinforcement Learning
- Learn continuous-Incremental Learning
- Knowledge Representation, Reasoning
- Knowledge Extraction, Management and Sharing
- Case-based Reasoning and Knowledge-based Systems
- Cognitive Modelling and Semantic Web
- Decision Guidance and Support Systems
- Optimization-based Recommender Systems
- Group, Distributed, and Collaborative Decisions
- Crowd-sourcing and Collective Intelligence Decision-making
- Strategic, Tactical and Operational-level Decisions
- Decision-making in Social and Mobile Networks
- Uncertainty and Fuzziness Representation and Reasoning
- Approximate/Exact Probabilistic Inference
- Knowledge Discovery and Data Mining for Uncertain
- Natural Language Processing/Understanding
- Large language models
- Dialogue systems and digital assistants/chatbots
- Quantum machine learning (QML), hybrid quantum–classical AI
- Variational quantum algorithms (e.g., QAOA, VQE) for AI tasks
- AI for quantum system design, control, and error mitigation
- AI for distributed and networked quantum
- Benchmarking and evaluation of quantum AI systems
Paper Submission
ICTAI 2026 uses a double-blind review process. To facilitate this, authors should ensure that their names and affiliations do not appear anywhere in the submitted paper.
SUBMISSION should be made through the Easy Chair link: https://easychair.org/conferences/?conf=ictai2026. The submissions should contain original, high-quality work that has not submitted or published elsewhere. Papers should be submitted electronically in PDF format and should conform to IEEE specifications (single-spaced, double-column, 10-point font size, up to 8 pages).
Paper Presentation
Each accepted paper should be presented by one of the authors and accompanied by at least one full registration fee payment, to guarantee publication in the proceedings.
All accepted papers will be included in the proceedings of ICTAI 2026, which will be published by the IEEE Computer Society.
Special Issues in IEEE & Int. Journals
Extended versions of selected papers from the conference will be reviewed and published in special issues in various IEEE and Int. Journals.
Best ICTAI Papers Recognition Awards
ICTAI provide several financial awards to the top-5 best student papers and to the ICTAI Best Paper Award.
Contact ICTAI 2026
General Chair
Taghi M. Khoshgoftaar
Florida Atlantic University
[email protected]
ICTAI Steering Committee Chair
Nikolaos Bourbakis
(Founder) BAIF
[email protected]
Co-Program Chair
Huanjing Wang
Western Kentucky University
[email protected]
Co-Program Chair
Kehan Gao
Eastern Connecticut State University
[email protected]
Co-Program Chair
Safak Kayikci
Florida Atlantic Univesity
[email protected]