Deadline Date: 1 July 2026
Applied mathematics solve practical, real-world problems involving mathematical modeling, numerical analysis and computation, statistics and data analysis, optimization techniques and differential equations describing physical phenomena. On other hand, applied informatics study and practice with information technology and computer science principles to do the same. Target systems include healthcare, business, environmental, engineering, physical, chemical and biological. Finally, applied statistics collect, analyze, interpret, and present real-world data to solve problems and make decisions involving survey design, experimental design, sampling methods, quality control and operating with descriptive statistics, hypothesis testing, regression analysis, time series analysis and multivariate analysis. Special topics include: networking algorithms and analysis, circuit design, pipeline systems, VLSI design, network reliability analysis, routes optimization, traffic flow analysis, flight scheduling, supply chain optimization, GPS navigation systems, project scheduling, resource allocation, facility location, assignment problems, database design, molecular structure analysis, ecological food webs, disease transmission patterns, organizational structures, communication patterns, influence mapping, and different specific networks analysis: protein interaction networks, gene regulatory networks, metabolic pathways, citation networks, collaboration networks, public transit network, telecommunication networks, power grids, manufacturing workflows. Typical examples of topics involving applied mathematics, informatics and statistics at the interface between mathematics, physics, chemistry and biology, where devising of structure-property-activity relationships provides insights of how a molecule's chemical structure relates to its physical attributes, chemical properties and biological activities and transcriptomics engages differential expression analysis, clustering, network analysis, pathway enrichment and alternative splicing analysis to study the RNA transcripts. Are welcomed development and analysis of mathematical models for different systems, numerical methods for solving regular and differential equations, simulation studies and Monte Carlo experiments, computer based optimizations serving various applications, innovative applications of probability and statistics in quantitative research, spatial statistics, and digging into big data.
Applied mathematics solve practical, real-world problems involving mathematical modeling, numerical analysis and computation, statistics and data analysis, optimization techniques and differential equations describing physical phenomena. On other hand, applied informatics study and practice with information technology ... show more
Editorial board
