The AISED series aims at bringing together researchers, practitioners, and industry experts to explore the latest advancements and innovations in software development, data science, and digital technologies that power modern digital services. The advent of AI-driven approaches covering all phases of the software development process dictates a paradigm shift in the quest for satisfying a large spectrum of digital services.

The conference features a series of tracks focusing on various aspects of AI’s impact on software for digital services with a comprehensive set of subtopics to cover the breadth and depth of the challenges.

Professionals from industry, government, and academia, researchers, engineers, practitioners, and students are invited to contribute. AISED welcomes 1) full papers presenting significant research, development, application, position, or survey, 2) short papers on work-in-progress, 3) posters, 4) contributed talk presentations, as well as workshops, thematic sessions, and demos.

Prospective authors are invited to submit original, unpublished works, which are not under review in any other conference or journal. Topics of interest include, but are not limited to, the following.

Topics

Experiences with Platforms

    Generative-AI Digital Platforms and Apps
    Software Development and Engineering for AI-driven Digital Services
    AI Concepts and Apps Optimization
    Data Science and Analytics for AI-driven Digital Services
    AI-based Software Analysis for Digital Services
    Machine Learning (ML) and Data Processing

Development Process

    Requirements in AI-based Digital Services
    Personalized Datasets for AI-driven Digital Services
    Methodologies using Generative-AI Tools and LLMs
    Self-Adaptive Software for Digital Services
    AI Impact on Agile Development
    Micro-Services and QoS/SLA for Digital Services

Industry-oriented Software

    AI-driven Industrial Software Simulations and Validation
    Digital Twins in AI-based Manufacturing
    Industry 5.0 and AI-based Digital Industry
    Integration of AI and IoT in Industrial Processes

Systems Software

    Cybersecurity and Privacy in AI-driven Digital Services
    Cryptography and Secure Communications
    AI mechanisms for Software Security
    Software for Media Streaming Services
    AI-based IoT and Connected Devices
    Cloud Computing and Infrastructure for AI-driven Digital Services
    AI-based Software for Cyber-physical Systems
    Software for AI-driven Embedded Systems

Software for Robots, IoT, and Autonomous Systems

    AI and Automation in Digital Services
    Robotic Process Automation (RPA) and Autonomous Robotics and Autonomous Systems
    IoT (Internet of Things)-related AI Software
    IoT and Real Data Processing
    AI-based Software for Drones

Requirements on Interactivity and Education

    Human-Computer Interaction and Human-AI Experience
    Human-centered AI Software
    Accessibility Tools for AI-based Digital Services
    Software and Programming in AI-based Education
    Digital Education Analytics
    User Feedback and Real-time Adaptation

AI-based Software for Health and Medical Systems

    Digital Solutions for Patients and Elderly Data Handling
    Telemedicine and Remote Health Monitoring
    Wearable Health Devices and Body Sensors
    AI in Personalized Patient Care
    Accessibility Tools for AI-based Digital Services
    Software for Wearable and Implantable Devices

Specialized AI-based Digital Services Software

    AI Mechanisms in 5G and next-Generation Software Defined Networks
    Quantum Computing Applications
    Sustainable and Green IT
    Digital Transportation and Urban Mobility
    Digital Smart Cities and Emerging services
    Digital Agriculture and Farming Robots
    Digital Identity and Personal Data Protection