Ingo Weidlich

Univ.-Prof. Dr.-Ing. Ingo Weidlich is a Professor of Technical Infrastructure Management at HafenCity University Hamburg's Department of Civil Engineering. His research focuses on district heating systems, infrastructure transformation, and predictive maintenance using artificial intelligence. He leads major research projects like SAM-FW (sustainable district heating asset management), EnEff-Netzregelung (AI-driven heat network control), and ZUVERSICHT (digital pipeline damage modeling).

• Teaching: Leads courses like Energy Infrastructure and Bauverfahren für Transformation, covering technical aspects of pipelines, thermal systems, and resource efficiency.
• Students: Supervises PhD researchers Stefan Dollhopf, Pakdad Pourbozorgi Langroudi, Violeta Madan, and Aaron Wieland.

Research Interests span district heating network optimization, pipeline aging analysis, and sustainable construction materials. His work addresses climate change adaptation through low-temperature district heating and self-compacting backfill materials.

Publications include studies on thermal stress in pipelines, polymer insulation degradation, and machine learning for predictive maintenance.

Projects involve collaborations with institutions like AGFW, Fraunhofer IEE, and Stadtwerke München, focusing on European standardization and renewable energy integration.

Teaching Materials include textbooks like Rohrleitungstechnik and Handbuch für den Rohrleitungsbau, emphasizing geotechnical interactions and pipeline mechanics.