At SustainAI, we research how to build energy-aware AI systems, sustainable software architectures, and AI-enhanced engineering practices that shape the future of responsible digital ecosystems.
About Us
SustainAI is a research group led by Professors Davide Taibi and Valentina Lenarduzzi at the Southern Denmark University (SDU).
We investigate sustainable and environmentally responsible AI, long-lasting software architectures, and how AI can enhance modern software engineering processes.
Our mission is to produce high-quality empirical research, support open-source ecosystems, and collaborate with academia and industry to build future-proof, responsible software systems
Our Research Themes
Sustainable & Environmentally Responsible AI
We study how to design and operate AI systems with minimal environmental impact, including energy-aware engineering, carbon efficiency, and green software practices.
AI-Enhanced Software Engineering
We build and evaluate methods using Generative AI and AI agents to support testing, architecture analysis, code quality, refactoring, and defect forecasting.
Sustainable Software Architectures
We enable companies to keep the architectural degradation under control, and identify the most appropriate architectures for building maintainable, resilient systems.
Collaboration Opportunities
For Companies & Public Organisations
- Joint R&D projects on sustainable AI and architecture
- Assessments of cloud-native quality and technical debt
- Workshops on AI-enhanced software engineering
- Pilots on GenAI and AI agents for development workflows
For Students & Researchers
- MSc thesis topics across AI-enhanced SE and sustainability
- Opportunities for co-authored publications
- Visiting researcher options
- Participation in ongoing national and EU-funded projects
Why Partner With Us?
- We lead internationally funded projects
- Strong track record of industry-driven SE research (cloud, microservices, quality, AI)
- Expertise in evaluating AI tools, including LLM-based agents and GenAI techniques
- Strong presence in top SE venues (ICSE, FSE, TOSEM, EMSE, JSS…)
- Proven capability to run large-scale empirical analyses using industry data