ICTAI 2024

28 October –
30 October 2024

Herndon, VA, USA

The 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

Dear Authors,
ICTAI 2024 uses a double-blind review process. To facilitate this, please ensure that your names and affiliations do not appear anywhere in the submitted paper.
Best Regards!
ICTAI 2024 Organizing Committee

Important Dates

Paper Submission: July 15 July 21, 2024 AoE (Final) 
Paper Notification: August 18 August 25, 2024
Camera Ready: September 16 September 23, 2024

Welcome to ICTAI 2024

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. This year’s ICTAI conference will be held in Herndon, Virginia, which is a suburb of Washington D.C. (26 miles away) and in close proximity to Dulles airport (2 miles away). In addition, there is a metro station available in close proximity for those that want to visit downtown Washington D.C.!

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.
Machine Learning
  • 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 and Cognitive Modelling
  • Knowledge Representation, Reasoning
  • Knowledge Extraction, Management and Sharing
  • Case-based Reasoning and Knowledge-based Systems
  • Cognitive Modelling and Semantic Web
AI and Decision Systems
  • 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 in AI
  • Uncertainty and Fuzziness Representation and Reasoning
  • Approximate/Exact Probabilistic Inference
  • Knowledge Discovery and Data Mining for Uncertain
AI and Societal Impact
  • AI Fairness, Accountability and Transparency
  • AI interpretability and explainability
  • Ethical and Trustworthy AI

Paper Submission

ICTAI 2024 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=ictai2024. The submissions should contain original, high quality, not submitted, or published elsewhere work. 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 2024 that 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 2024

General Chair

Manolis Koubarakis
National & Kapodistrian University of Athens, Greece
[email protected]

Program Chair

Nikolaos G. Bourbakis
[email protected]

Financial & Registration Chair

Michail Alexiou
Kennesaw State University, GA, USA
[email protected]