Call for Papers

Calls for Papers

Authors are invited to electronically submit original, English-language research contributions no longer than 12 pages formatted according to the well known Springer Lecture Notes in Computer Science (LNCS) series format. Submitted papers must present unpublished work, not being considered for publication in other journals or conferences.

The AIAI conference has its own SPRINGER PROCEEDINGS SERIES. Please download the recent instructions for authors as they were released by Springer here: IFIP AICT Sample file format.

Submitted papers will be refereed by at least three reviewers for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the conference and included in the proceedings, which will be published by SPRINGER and they will be available on site. It is important though to follow the instructions in this page to ensure that your paper will be included in the SPRINGER  IFIP AICT proceedings.


A paper may not be included in the proceedings if the requirements are not met, or if the registration fee is not received by the deadline of the submission of the camera-ready. Based on the reviewers’ comments and on the presentation, and after a second peer review process, a number of selected papers will be published in a special issue of a scientific Journal with high Impact Factor.


IFIP AICT volumes are published under IFIP copyright. Authors of each paper must sign the IFIP copyright assignment form and submit it with the final version of their accepted paper. Copyright transfer form will become available to all accepted paper authors after sending acceptance notifications.


Suggested topics include, but are not limited to, the following:

  • Accessibility and Computers
  • Adaptive Control
  • Affective Computing
  • Agent and Multi-Agent Systems
  • AI and Ethical Issues
  • Artificial Intelligence Applications
  • Artificial Neural Networks (Multi Layer FF) Spiking
  • Artificial Neural Networks
  • Autonomous and Ubiquitous Computing
  • Bayesian and Echo State Networks
  • Bayesian Models
  • Biologically Inspired Neural Networks
  • Biomedical systems
  • Bioinformatics Coding
  • Architectures Interacting with The Brain
  • Collective Computational Intelligence
  • Colour/Image Analysis
  • Complex Firing Patterns
  • Computational Intelligence
  • Computer Vision
  • Convolutional Neural Networks
  • Crisis and Risk Management
  • Cybersecurity and AI
  • Data Fusion
  • Data Mining and Information Retrieval
  • Decision Support Systems
  • Deep Learning
  • Deep Learning and Big Data
  • Deep Learning and Big Data Analytics
  • Deep Learning and Cybersecurity
  • Deep Learning and Forensics
  • Deep Learning and Real Time Systems
  • Deep Learning and Social Networks
  • Distributed AI Systems and Architectures
  • eBusiness, eCommerce, eHealth, eLearning
  • Emerging Applications
  • Engineering and Industry
  • Environmental Intelligent Modelling
  • Evaluation of AI Systems
  • Evolving Systems – Optimization
  • Expert Systems
  • Finance and AI
  • Forensic Science
  • From Neurons to Neuromorphism
  • From Sensation to Perception
  • From Single Neurons to Networks
  • Fuzzy Logic and Systems
  • Genetic Algorithms and Programming
  • Grid-Based Computing
  • Human-Machine Interaction / Presence Information and Optimization
  • Intelligence
  • Intelligent Information Systems
  • Intelligent Profiling and Personalisation
  • Internet of Things (IoT)
  • Intelligent Real Time Monitoring and Control
  • Knowledge Acquisition and Representation
  • Knowledge Engineering
  • Knowledge Management for e-Learning and Enterprise Portals
  • Learning
  • Learning and Adaptive Systems
  • Machine Learning
  • Machine Learning and Cybersecurity
  • Machine Learning and Forensics
  • Machine Learning and Social
  • Machine Learning and Video – Image Processing
  • Machine Learning for BioMedical systems
  • Mathematical Foundations of AI and Intelligent Computational methods
  • Media Machine Learning in Engineering
  • Medical Informatics and Biomedical
  • Movement and Motion
  • Multi Layer Perceptrons
  • Multilayer Perceptrons and Kernel Networks
  • Multimedia Computing
  • Multimedia Ontologies
  • Multimedia, Graphics and Artificial Intelligent Music
  • Mining
  • Natural Language Processing
  • Object and Face Recognition
  • Ontologies
  • Other
  • Particle Swarm Optimisation
  • Pattern Recognition
  • Planning and Resource Management
  • Planning and Scheduling
  • Political Decision Making
  • Project Management Recommendation Systems
  • Reasoning Methods
  • Recurrent Neural Networks and Reservoir Computing
  • Robotics and Virtual Reality
  • Signal and Image Processing
  • Signal Processing Techniques and  Knowledge Extraction
  • Smart Graphics
  • Smart Grids
  • Social Impact of AI
  • Social Media and AI
  • Speech and Natural Language Processing
  • Speech Synthesis
  • Spiking Dynamics
  • Swarm Intelligence and Decision-Making
  • Text Mining
  • Telecommunications – Transportation
  • Theoretical Neural Computation
  • Time Series and Forecasting
  • Training and Learning Inference and Recognition Clustering, Mining and Exploratory Analysis
  • Trends in Computing Intelligent Web and Knowledge-Based Information Systems
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