Group Member
Team Leader
Team Member
Group Vision
The Building Information Theory Group is a research community that gives a quantitative definition to the information generated, exchanged and used across indoor environments, buildings and urban systems, and combines information theory with the representation, estimation, integration and decision-making of that information — establishing operating principles that run from data to knowledge, and from knowledge to service.
Research Topic
Tree–building energy interaction (urban vegetation informatics)
Integrated information (Φ / φ) proxies for cyber-physical subsystems
Spatiotemporal building telemetry
Virtual sensing for indoor environment
Agentic indoor environmental services
Multi-scale mechanisms
Comfort & IEQ digital services
Mutual information (sensor–state dependence)
Urban Heat Island (UHI) impacts on HVAC operations
Indoor environmental data-to-service pipeline
Thermal comfort analytics
Data quality as information loss
Human–AI operational supervision
Urban Digital Twin for energy & IEQ services
Shannon information theory for building telemetry
Fault detection & diagnostics (FDD) informatics
Point taxonomy & control graph
WWR / envelope feature extraction at city scale
Commissioning-to-operations service handoff
Policy/constraint-aware service execution
HVAC Informatics
IEQ fault-tolerant monitoring
Semantic point normalization (BAS/BMS)
Information-based HVAC operations
Service-ready digital twin for building operations
Urban Building Informatics
Built Environment Informatics
District energy & campus-scale HVAC informatics
IAQ informatics
HVAC operational intelligence
Information bottleneck for control-relevant compression
Occupant-centric sensing & modeling
Control-oriented state estimation (virtual sensors)