Main ICTERI conference solicits papers on original work, not previously published or submitted for publication elsewhere, that address one or more of the following topics. Papers must be submitted to one of the following Tracks:
Track 1: Advances in Fundamental ICT / IS Research and their Applications
- Information Science: data and knowledge integration and interoperability; data mining and knowledge discovery
- Big Data: managing big data and linked open data at scale; data analytics and business intelligence
- Large-scale distributed computing, cloud- and edge-based approaches
- Model-driven architectures/approaches for software development and deployment
- Smart systems: models, technologies, and applications
- Knowledge representation and reasoning, ontologies and knowledge graphs: extraction, engineering, and evolution
- Recommender systems: methods and technologies
- Solving challenges in digital societies
- Theoretical foundations and practical implications
Track 2: Artificial Intelligence: Research and Applications
- Deep learning for information mining and knowledge discovery from data of different modalities: text, image, audio, video, sensor output, etc.
- Novel hybrid or synergetic AI-based approaches for solving computer vision and augmented reality problems
- Machine-learning-based, statistical, and rule-based approaches in natural language processing solutions and applications
- Self-explanatory deep-learning-based solutions for real-world applications
- Planning and reinforcement learning in AI solutions
- (Distributed) AI-based solutions in robotics and simulation
- Ethics in AI: Societal Impacts and Critical Applications
Track 3: ICT Applications in Academia & Industry
- ICT solutions for competence design and development
- ICT development to support technology-enhanced teaching and learning, including life-long learning
- ICT solutions for quality assurance in education and education management
- Novel ICT infrastructures, tools, and environments for research, cooperation, and knowledge transfer
- Experiences in the development and use of ICT for personnel training in industry
- Best practices in cooperative academic-industrial ICT projects; joint academic-industrial ICT research and development
- Successful deployments of novel ICT applications in industry, public organizations, or governments