Current Research Focus

  • Generative AI (incl. Graph RAG and Agentic AI)
  • Neurosymbolic AI (combining symbolic and sub-symbolic AI)
  • Causal AI (based on causal graph models)
  • Semantic Data Management (incl. FAIR data principles, data quality and compliance)
  • Big Data Management (Databricks, Azure Data Factory, Azure ML, etc.)
  • Dynamic and Autonomous Digital Twins

Past Research Areas

Knowledge Representation and Reasoning

  • Semantic Web Technologies (RDF, RDFS, SKOS, OWL, SHACL, etc.)
  • Ontology modeling and management
  • Semantic data integration and interoperability
  • Axiom and rule-based reasoning

Internet of Things and Services

  • Network Architecture and Protocols
  • M2M and Machine Type Communication (3G/LTE, WiFi, ZigBee, etc.)
  • Cloud Computing and Big Data Processing
  • Self-organization and -optimization, extensibility, openness
  • Security and Privacy

Mobile Networks

  • 4G/5G Mobile Networks
  • (Distributed) Mobility Management (IP-based)
  • Small Cell Networks (incl. Femtocells)
  • User Plane Congestion Management
  • Application-aware traffic engineering/optimization
  • LTE SON (self-organizing & -optimizing networks)
  • Mobile Backhaul (Transport SON, dynamic resource management)
  • Content distribution and delivery enhancements

Cloud Networking

  • Network Function Virtualization (virtualized EPC and Cloud RAN)
  • Dynamic resource scaling (resource elasticity)
  • Function/VM migration (improved resilience)
  • End-to-end cloud resource control and optimization
  • Smart network function placement

Software Defined Networking

  • OpenFlow in Carrier Networks
  • Centralized network control and network abstraction
  • Northbound interface (new network control paradigm)
  • Programmable Networks (Ph.D. Thesis)