Welcome

Welcome on my homepage. I am a research fellow and lecturer in the field of complex systems. Interacting systems formed by discrete elements can be represented as networks of these elements. Recognizing generic organizational principles and mechanisms that govern the global behavior of large-scale networked systems is the ultimate challenge of network research. The main function of networks is transport of some entity, which in many cases can be encoded as information. The dynamics of complex networks is studied using a diverse set of tools. Emphasis is placed on understanding how the nature of the network determines the evolution of processes on the network. 

I did my PhD at University of Leuven. I have always been interested in complex systems. Here is what happens to people that are interested in all sorts of different things: I have all my training in statistical physics and computer science within the department of engineering and went to summer school at Santa Fe Institute. This hooked me up to independent research - working together with people from different disciplines. 

My special interest is in network theory, information dynamics and computational mechanics of stochastic processes. I am dedicated to interdisciplinary research. Projects study the coupling between the information flow and network structure in complex networks. The focus areas span applications in Biology (in particular protein folding networks and gene transcription networks), population dynamics, social networks, supply chain management, manufacturing control and computer networks. I am interested in distributed intelligent systems, multi-agent and holonic systems, intelligent control, self-organization, complexity measures, computational mechanics - methods for building efficient predictive models from data. All of which using tools from probability and statistics to understand nonlinear dynamical systems.

Contact

• Email: Olaf.Bochmann(at)ComplexLab.org
• Web: Bochmann.ComplexLab.org
• Phone: +49 (30) 57709925
• Office: +1 (515) 834-0261 
• Twitter: bochmann 

Vita

Academia

This project studied the coupling between the information flow and network structure in complex networks. The focus areas are protein folding networks and gene transcription networks as well as food webs.