• Publications
  • Influence
Growth, innovation, scaling, and the pace of life in cities
Humanity has just crossed a major landmark in its history with the majority of people now living in cities. Cities have long been known to be society's predominant engine of innovation and wealthExpand
  • 1,594
  • 113
  • PDF
Disasters as Extreme Events and the Importance of Network Interactions for Disaster Response Management
Summary We discuss why disasters occur more frequently and are more serious than expected according to a normal distribution. Moreover, we investigate the interaction networks responsible for theExpand
  • 72
  • 4
Scaling laws in urban supply networks
TLDR
In previous work, it has been proposed that urban structures may be understood as a result of self-organization principles. Expand
  • 126
  • 3
Efficient response to cascading disaster spreading.
TLDR
We study the effectiveness of recovery strategies for a dynamic model of failure spreading in networks. Expand
  • 79
  • 3
  • PDF
Assessing interaction networks with applications to catastrophe dynamics and disaster management
TLDR
In this paper, we present a versatile method for the investigation of interaction networks and show how to use it to assess effects of indirect interactions and feedback loops. Expand
  • 62
  • 2
  • PDF
Information Flows in Hierarchical Networks and the Capability of Organizations to Successfully Respond to Failures, Crises, and Disasters
TLDR
In this paper we discuss the problem of information losses in organizations and how they depend on the organization network structure. Expand
  • 34
  • 1
Machine Learning for Cyber Physical Systems
The proliferation of cyber-physical systems and the advancement of Internet of Things technologies have led to an explosive digitization of the industrial sector. Driven by the high-tech strategy ofExpand
  • 4
  • 1
  • PDF
Kinetic modeling of the time course of N-butyryl-homoserine lactone concentration during batch cultivations of Pseudomonas aeruginosa PAO1
Quorum sensing affects the regulation of more than 300 genes in Pseudomonas aeruginosa, influencing growth, biofilm formation, and the biosynthesis of several products. The quorum sensing regulationExpand
  • 20
Kinetic modeling of rhamnolipid production by Pseudomonas aeruginosa PAO1 including cell density-dependent regulation
The production of rhamnolipid biosurfactants by Pseudomonas aeruginosa is under complex control of a quorum sensing-dependent regulatory network. Due to a lack of understanding of the kineticsExpand
  • 20
Water Quality Supervision of Distribution Networks Based on Machine Learning Algorithms and Operator Feedback
TLDR
This paper addresses both problems: An alarm detection method is presented needing only a few parameters for configuration and the amount of false alarms is reduced, by using known events for training. Expand
  • 8