Artificial Intelligence and Recommender Systems
A recommender system or a recommendation system (sometimes replacing “system" with a synonym such as platform or engine) is a subclass of information filtering system that seeks to predict the “rating" or “preference" a user would give to an item.
Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. There are also recommender systems for experts, collaborators, jokes, restaurants, garments, financial services, life insurance, romantic partners, and Twitter pages.
Industry 4.0 and Predictive Maintenance
Cognitive computing and machine intelligence;
Optimisation of production processes;
Integration of different technologies;
Machine/Deep learning;
Recommender Systems;
Management, interpretation and exploitation of available data through the use of digital the use of digital technologies.
Semantic technologies, Linked Data and Knowledge Graphs
Semantic Web, Linked Open Data;
Ontologies;
Knowledge representation and automated reasoning;
User modeling and Preference reasoning.
Web of Things
Smart Factory;
Transportation & Logistics;
Utilities;
Oil and Gas;
Smart Cities;
Smart Buildings;
Connected Car;
Device Controllers;
Remote Access;
Thing-to-Thing;
Smart Home Gateways;
Edge Devices;
Digital Twins;
Conversational Agents
Natural Language Processing (NLP) is a subfield of linguistics, computer science, information engineering and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data.
Security and Privacy of/with Artificial Intelligence
Advanced hacking techniques for the vulnerability of Artificial Intelligence systems.
Adversarial AI for the development of robust machine learning models resistant to different types of adversarial scenarios;
Adversarial knowledge and capabilities;
Methods for generating adversarial examples and existing cyber defence models;
New variants of reinforcement and federated learning, for exploit vulnerabilities of AI models;
Attack and Defense techniques against AI applications;
Challenges and future research directions in the domain of security and privacy of AI technologies.
Intelligent systems for Healthcare
Medical Informatics and Health Information Technology;
Relevant and advanced methodological, technological, and scientific approaches related to the application of sophisticated exploitation of AI for healt technology and informations.
Adaptive Software Architectures
Linking architecture to requirements and/or implementation;
Architecture verification, validation and evaluation;
Architectural patterns, styles and tactics, reference architectures;
Component-based models and deployment, middleware;
Architectures for Systems of Systems, IoT system, cyber-physical systems;
Architectures for reconfigurable and self-adaptive systems.
