Aim & Scope

ICTAI 2017: 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.

The call for papers of ICTAI 2017 may be downloaded from here: Call For Papers



ICTAI 2017 is accepting submission of two type of papers:

  • Long papers (up to 8 pages) should present original technically sound research
  • Short papers (up to 5 pages) may describe new research ideas and concepts that are not fully developed

All accepted papers, which will be registered and presented at the conference, will be included at the ICTAI 2017 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


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


AI Foundations AI in Data Analytics and Big Data AI and Decision Systems
Evolutionary Computing, Bayesian and Neural Networks Visualization Analytics for Big Data Decision Guidance and Support Systems
Decision/Utiliity Theory and Decision Optimization Computational Modeling for Big Data Optimization-based Recommender Systems
Search, SAT and CSP Large-Scale Recommendation and Social Media Systems Group, Distributed and Collaborative Decisions
Description Logic and Ontologies Cloud/Grid/Stream Data Mining for Big Velocity Data Crowd-Sourcing and Collective Intelligence Decision Making
AI in Domain Specific Applications Semantic-based Big Data Mining Strategic, Tactical and Operational Level Decisions
AI in Natural Langauage Processing and Understanding Uncertainty in AI Decision Making in Social and Mobile Networks
AI in Computational Biology, Medicine and Biomedical Applications Uncertainty and Fuzzineess Representation and Reasoning Multimodal Communicative Signals: Behavioural and Algorithmic Issues
AI in WWW, Communication, Social Networking, Recommender Systems, Games and E-Commerce Approximate/Exact Probabilistic Inference Verbal and Nonverbal Social Communicative Signals
AI in Finance and Risk Management Knowledge Discovery and Data Mining for Uncertain Data Trustful Human-Human and Human-Machine Exchanges
AI in Computer Systems Machine Learning and Data Mining Emotionally and Socially believable robots and ICT Interfaces
AI in Robotics, Computer Vision and Games Data Pre-processing, Reduction, and Feature Selection Recognition, Synthesis, and Understanding of Human Interactions
AI in Software Engineering, Real-Time and Embedded Applications and Sensor Networks Learning Graphical Models and Complex Networks Context and Cultural Effects on Perception, Memory, and Cognition
AI in Coud Computing, Data-Intensive Applications, and Online/Streaming and Multimedia Systems Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label, and Multi-Task Learning Multimodal Signal Analysis and Processing
AI in Web Search and Information Retrieval Transfer/Adaptive, Rational and Structured Learning Affective Systems and Related Applications
AI in Computer Security, Data Privacy, and Information Assurance Preference/Ranking, Ensemble, and Reinforcement Learning Learning Algorithms in Social Robotics and ICT Interfaces
Applied Artificial Intelligence Knowledge Representation, Reasoning and Cognitive Modeling Analysis and Processing of Human Daily Cognitive Activities
Intelligent Signal Processing Knowledge Representation and Reasoning Distributed Intelligence
Intelligent Control Applications Knowledge Extraction, Management and Sharing Multi-Agent Systems
Application to Inverse Problems Case-based Reasoning and Knowledge-based Systems Data Fusion
Application to Smart Grids and Smart Cities Cognitive Modeling and Semantic Web Robust Decision Making



General Chair:

Prof. Alex Brodsky, email:


Program Chair:

Prof. Maria Virvou, email:





ICTAI 2017: 29th International  Conference on Tools with Artificial Intelligence.
November 6-8, 2017, Boston, Massachussets, USA