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Prospective authors are invited to submit original, unpublished works, which are not under review in any other conference or journal.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