Dear authors,
Please be reminded that ICTERI 2024 Workshop Proposals EasyChair track is only for submitting the proposals on organising satellite ICTERI 2024 Workshops. This track is NOT for submitting papers.
In a consequence, each paper submitted as a workshop proposal will be REJECTED as irrelevant for the Call.
The list of the workshops for ICTERI 2024 will be made public on the ICTERI web site after acceptance of their proposals. The accepted workshops will Call for their Papers individually. The Calls for Workshop Papers will also be published on the ICTERI web site at due time.
ICTERI Conference SCOPE
ICTERI is an annual peer-reviewed international Computer Science conference. It focuses on research, design, development, deployment and usage of advanced information systems and ICT Infrastructures in industry and education. Particular attention is paid to ensuring that the ideas and solutions presented can or have been put into practice. This can be demonstrated, for example, by a proof-of-concept implementation, a comprehensive prototype, a comprehensive case study or the analysis of real use cases. Reports on academic-industrial partnerships for ICT innovation and knowledge transfer are as welcome as technological and methodological submissions.
We solicit submission of original work, not previously published, or submitted for publication elsewhere. Papers must be submitted to one of the following Thematic Tracks:
Track 1: Advances in Fundamental ICT and IS Research, and their Applications
- Data and knowledge integration and interoperability
- Data mining and knowledge discovery at scale
- Managing big data and linked open data at scale
- Data analytics and business intelligence
- Service orientation, 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
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
- LLMs, statistical, and rule-based approaches in natural language processing solutions and applications
- Developing self-explanatory DL-based solutions for real-world applications
- Planning and reinforcement learning in AI solutions: LLMs vs “good old-fashioned AI”
- (D)AI-based solutions in robotics and simulation
- Ethics in AI: Societal impacts and ethics-critical applications
Track 3: ICT Applications in Academia & Industry
- ICT development to support technology enhanced teaching and learning, including life-long learning
- Novel ICT for competence design and development
- ICT solutions for quality assurance in education and education management
- Joint academic-industrial ICT research and development
- 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
- Successful deployments of novel ICT applications in industry, public organizations, or governments