Robert Sitzenfrei

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Full Professor

University of Innsbruck

Austria

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Robert Sitzenfrei is a Full Professor at Universität Innsbruck, Austria. His research areas encompass urban drainage networks, water distribution systems, and the sustainable digitalization of water infrastructure. Recent publications include works on graph theory frameworks, explainable AI applications, and resilience analysis tools for water management. Professor Sitzenfrei's contributions aim to enhance the reliability and efficiency of water distribution networks through innovative technological solutions.

Recent Grants

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urban water infrastructure- finding simplicity in complexity

Open Date: 2018-09-01

Close Date: 2021-08-31

Robert Sitzenfrei

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Recent Grants

Articles (28)

Filling data gaps in urban drainage networks: An automated graph theory framework for data collection and reconstruction

Enhancing explainable AI with graph signal processing: Applications in water distribution systems

How sustainable is digitalization in urban water infrastructure? A life cycle assessment of the implementation of smart water meters

Water management resilience analysis tool – a software for criticality analysis in water distribution networks

Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in water distribution networks

Using digitalisation for a real-word implementation of an early warning system for water leakages

Explainable artificial intelligence for reliable water demand forecasting to increase trust in predictions

Graph-Based Genetic Algorithm for Localization of Multiple Existing Leakages in Water Distribution Networks

A Hybrid Graph Hydrodynamic Method for Modelling Multiple Pipe Failure in Stormwater Networks

Graph-Based Warm Solutions for Optimal Resilience Enhancement of Water Distribution Networks

Nature-Based Solutions in Cities—A View from a Water Supply Perspective

Pressure Sensor Placement for Pipe Roughness Calibration Based on Graph-Based Surrogate Model Coupled with Genetic Algorithm

A Hybrid Graph–Hydraulic Approach for Identifying Critical Elements in Water Distribution Networks

Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting

Explainable Methods for Water Demand Forecasting as a Key Aspect of Trustworthy Artificial Intelligence

Sensitivity of model-based leakage localisation in water distribution networks to water demand sampling rates and spatio-temporal data gaps

The socio-technical short-term implications of drinking water hoarding on supply reliability

A graph-based method for identifying critical pipe failure combinations in water distribution networks

Optimal rehabilitation planning for aged water distribution mains considering cascading failures of interdependent infrastructure systems

A Graph-Based Optimization Framework for Large Water Distribution Networks

Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment

Pareto-optimal design of water distribution networks: an improved graph theory-based approach

Dual graph characteristics of water distribution networks—how optimal are design solutions?

Graph method for critical pipe analysis of branched and looped drainage networks

Ensemble Evaluation and Member Selection of Regional Climate Models for Impact Models Assessment

Smart water campus – a testbed for smart water applications

Battle of centralized and decentralized urban stormwater networks: From redundancy perspective

Life Cycle Sustainability Assessment of Wastewater Systems under Applying Water Demand Management Policies

Collaborators (8)

Andrea Menapace

Carolina Kinzel

Enrico Creaco

SARA TODESCHINI

Mohsen Shahandashti

Mohsen Hajibabaei

Ulrich Dittmer

Manuel Herrera

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