Emerging and development of techniques on computational and information sciences consisting of mathematical models (MM), cloud computing (CC), and nature-inspired computing (NC) in the past years has broadened the scope of simulation and modeling in many scientific and engineering disciplines. As the interactions among MM, CC, and NC become more important in solving the complex systems, the fundamental issues in explaining those problems have to be addressed. We will solicit original contributions from the multidisciplines for this special issue, in particular, in the areas of mathematical related models. The International Conference on Information Technology, Computation and Applications (ICITCA2014), jointly organized by more than 20 institutions from Australia, USA, and China, will bring scientists and engineers from different disciplines together to discuss emerging issues, tackle complex problems, and share novel applications in computational and information sciences based on the solid foundation of mathematical models. High quality papers selected from this event will have an opportunity to be published in Mathematical Problems in Engineering. Manuscripts submitted from the conference will need to be full-length papers that have not been previously published in a substantially similar format (i.e., authors will need to rewrite their conference papers as full-length manuscripts and to include a substantial amount of new material that was not published in the original conference papers). Moreover, we invite authors to submit original research and novel application papers to this special issue.

Potential topics include, but are not limited to:

• Computational science and engineering:
• High-performance computing and algorithms; computational mathematics; large-scale scientific and engineering computing; and biological modeling and simulations
• Computational information sciences:
• data mining and analysis algorithms; image processing; intelligent analysis and evaluations; high-performance information processing and algorithms; parallel, distributed, and scalable algorithms in computational information sciences
• Advanced computation theory and application:
• hybrid systems and optimization algorithms; deep machine learning; sentiment analysis and opinion mining; supervised and semisupervised learning; and cloud computing