Human and societal aspects of digitalization
The group has expertise within the co-creation and rigorous evaluation of solutions aiming at solving critical societal challenges such as including and empowering users in the digital transformations, reducing disaster risks and managing disasters, strengthening democracies.
- Human factors: User centered service design and evaluation, Understandable decision support .
- Resilience: Resilience thinking, Resilience engineering.
- User empowerment and citizen participation.
System architectures and models, Data-based innovation
The group has expertise in software architecture design for complex systems and works with data value chain and knowledge representation, utilizing modeling languages to support digital transformation in areas such as transport and energy.
- Knowledge representation: Semantics, ontology, linked data, Data enrichment.
- Service and system modelling: Data modelling, Data-driven system development.
- Data value chain from collection to use: Data sourcing, representation, sharing, collation and analysis.
- Enabling technologies and methods: Big data, search, analytics infrastructure, platforms and systems.
AI, ML and data driven analytics
The group conducts foundational AI and ML research as well as bridging the gap between academic research and practical industrial needs through collaborations with universities and industries.
- Foundations of AI/ML:
- Synthetic Data Generation techniques,
- Representation learning, unsupervised learning methodologies,
- Generative models,
- Decision-making processes and reinforcement learning algorithms.
- Timeseries analysis: Prediction and outlier detection.
- Deep Neural Networks.
Application domains: Sustainable cities and communities, Disaster management, Health and well-being, Transport, Mobility, Aviation, Telco, Energy.
