To organize the submission process, the NiDS2023 topics are categorized into tracks. The scope of the tracks is to highlight the state-of-the-art research areas.
Each paper will be assigned to the appropriate track by Program Chairs.
NiDS2023 tracks are the following:
Track I: Adaptive and Personalized Systems
Leader: Katerina Kabassi
Adaptive Hypermedia Systems, Augmented Reality, Affective Computing, Environmental Informatics, Fuzzy Systems, Genetic Algorithms, Human-Machine Interaction, Machine Learning, Mobile App Development, Multimedia Computing, Personalized Learning Environments, User Modelling, Virtual Reality
Track II: Semantic and Social Web
Leader: Phivos Mylonas
Collaborative Filtering, Digital Marketing, E-Commerce, E-Government, Online Communities, Open Collaboration, Recommender Systems, Smart Health, Social Data Analytics, Social Media Technologies, Social Networking Services, Virtual Collaboration
Track III: Service Science and Software Engineering
Leader: Jaime Caro
AI for IoT, Big Data Analytics, Big Data Search and Mining, Big Data Security and Privacy, Big Data in Education and Learning Analytics, Business Analytics, Cloud/Grid/Stream Computing, Data Visualization, Human Interaction with IoT, Linked Data, Open Data, Semantic Web, Sensor Deployment, Smart Cities, Smart Grid