ICTAI 2020

Aim & Scope

ICTAI 2020: The annual IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 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.


ICTAI 2020 is accepting full length submissions (up to 8 pages). They should present original and technically sound research. All accepted papers, which will be registered and presented at the conference, will be included at the ICTAI 2020 proceedings published by IEEE. Authors of selected and relevant papers will be invited to submit an extended version to:

  • International Journal on Artificial Intelligence Tools
  • International Journal of Monitoring and Surveillance Technologies Research
  • Interaction Studies Journal

The IEEE ICTAI 2020 organizing committee decided to transform the IEEE ICTAI 2020 into an online conference November 9-11. This will allow us to deliver the top quality content and technical exchange you’ve come to expect from the ICTAI conference while ensuring the health and safety of everyone involved.
The call for papers of ICTAI 2020 may be downloaded from here: Call For Papers
Submission deadline extented to July 08, 2020 (Firm)

Topics of Interest include (but are not limited to):

AI Foundations Machine Learning and Data Mining
Evolutionary computing, Bayesian and Neural Networks Pre-processing, Dimension Reduction and Feature Selection
Decision/Utility Theory and Decision Optimization Learning Graphical Models and Complex Networks
Search, SAT, and CSP Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Multi-Task Learning
Description Logic and Ontologies Transfer/Adaptive, Rational and Structured Learning
AI in Domain-specific Applications Preference/Ranking, Ensemble, and Reinforcement Learning
AI in Computational Biology, Medicine and Biomedical Applications Knowledge Representation, Reasoning and Cognitive Modelling
AI in WWW, Communication, Social Networking, Recommender Systems, Games and E-Commerce Knowledge Representation, Reasoning
AI in Finance and Risk Management Knowledge Extraction, Management and Sharing
AI in Computer Systems Case-based Reasoning and Knowledge-based Systems
AI in Robotics, Computer Vision and Games Cognitive Modelling and Semantic Web
AI in Natural Language Processing AI and Decision Systems
AI in Software Engineering, Real-Time and Embedded Applications, and Sensor Networks Decision Guidance and Support Systems
AI in Cloud Computing, Data-Intensive Applications and Online/Streaming and Multimedia Systems Optimization-based Recommender Systems
AI in Web Search and Information Retrieval Group, Distributed, and Collaborative Decisions
AI in Computer Security, Data Privacy, and Information Assurance Crowd-sourcing and Collective Intelligence Decision-making
AI in Data Analytics and Big Data Strategic, Tactical and Operational-level Decisions
Visual Analytics for Big Data Decision-making in Social and Mobile Networks
Computational Modeling for Big Data Uncertainty in AI
Large-scale Recommendation and Social Media Systems Uncertainty and Fuzziness Representation and Reasoning
Cloud/Grid/Stream Data Mining for Big Velocity Data Approximate/Exact Probabilistic Inference
Semantic-based Big Data Mining Knowledge Discovery and Data Mining for Uncertain Data
AI in Smart Cities AI and Societal Impact
Healthcare, Traffic, Transportation, Environment, etc. AI Fairness, Accountability and Transparency
AI interpretability and explanability
Ethical and Trustworthy AI

General Chair

  • Prof. Miltos Alamaniotis, email: [email protected]

Program Chair

  • Prof. Shimei Pan, email: [email protected]

ICTAI 2020 All rights reserved.