Mathematical Problems in Engineering

Information and Modeling in Complexity

Publishing date
01 Jan 2012
Submission deadline
01 Jul 2011

1Department of Mathematics, University of Salerno, Via Ponte Don Melillo, 84084 Fisciano (Sa), Italy

2Zhejiang University of Technology, Hangzhou 310023, China

3Department of Economics, University of Namur, Rempart de la Vierge 8, 5000 Namur, Belgium

Information and Modeling in Complexity


Researchers in engineering systems build intensive theories represented by mathematical models that aim at understanding fundamental questions of spatial structure, self-organization, environmental interaction, behavior, and development. Complex systems, such as, for example, living systems, are often maintained by information flows. Signals extract such information from the complex phenomena being measured. Such signals are typically a time series having both a regular and a random component. Solutions of the arising mathematical problems attempt to map general principles for modeling how the complex systems operate. This area is a burgeoning field of research due to both the practical significance of the applications and the general scientific importance. The focus of this special issue is on the mathematical models and engineering applications in complex systems. We are interested in both new theoretical developments and the studies of practical implementation concerning modeling, complexity, fractals, statistics, and signal extraction and transformation.

We are soliciting high-quality research and review papers on issues related to complex systems. Potential topics include, but are not limited to:

  • Modeling of complex systems
  • Computational issues in dynamical systems
  • Signal processing of complex information
  • Complexity and parameters of complexity
  • Entropy, multifractality, hurst exponent, correlation, and power spectrum

Papers on related theories and engineering applications, such as systems theory, biological organization, fractals, neural and social networks, statistical models, biomedical engineering, self-organizing economies, and information processing, are also welcome if the work is related to the core themes of this issue.

Before submission authors should carefully read over the journal's Author Guidelines, which are located at Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at according to the following timetable:

Mathematical Problems in Engineering
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Acceptance rate27%
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Acceptance to publication34 days
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Impact Factor1.305

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