Research Areas

Distributed Systems for Real-World Impact

We design next-generation distributed systems that combine Artificial Intelligence, Digital Twins, and adaptive data infrastructures to tackle complex societal and industrial challenges.

Our research addresses a simple but urgent question:

From water infrastructure and energy systems to manufacturing and smart environments, we build systems that evolve with their environment, rather than requiring costly shutdowns, recalibration, or manual intervention.

What We Do

We work at the intersection of:

• Distributed & Service-Oriented Systems
• Event-based & Process Aware Systems
• Digital Twins & Simulation
• Graph-based & Neuro-Symbolic AI
• Real-time Analytics & Compliance
• Evolutionary Self-Managing Data Pipelines & Processes

Our core strength lies in bridging theory and practice: we design scalable architectures and learning methods, and validate them using real sensor data, operational infrastructures, and industry-relevant use cases.

Current Research Projects:

Collaboration & Impact

We actively collaborate with:

• Water utilities and environmental stakeholders
• Manufacturing SMEs
• Public funding agencies
• International research networks