simc@strathmore.edu 0703 034 000, Ext: 2359, 2112, 2115
2021 Conference Theme: “Advancing Research and Education in Mathematical Sciences in the Big data Era"

Abstract format

All abstract submissions should be prepared using the Abstract Template (see the LaTeX and PDF template files) and should be submitted electronically as PDF to the online submission system. 

Authors may contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:

  • Pure Mathematics: Algebra and Applications, Computational Algebra, Analysis, Combinatorics, Geometry and Topology, Number Theory, Differential Equations, Approximation Theory, Coding Theory, Image Processing, Control Theory, Cryptology, Discrete Mathematics.
  • Applied Mathematics: Difference and Functional Equations, Dynamical Systems and Egordic Theory, Fluid Mechanics, Fuzzy Mathematics, Game Theory, Graph Theory, Integral Equations, Mathematical Biology and Mathematical Ecology, Bioinformatics, Mathematical Modelling in Environmental Sciences, Mathematical Economics and Financial Mathematics, Financial Econometrics, Stochastic Modeling and Applications, Biomedical modeling and data fitting, Modeling Climatic Changes.
  • Statistical Modeling: Theoretical Computer Science, Data Mining and Soft Computing Theory and Application of Statistical Linear Models; Bayesian Models and Data Analysis, Spatial Analysis; Exploratory Methods and Functional Data Analysis.
  • Data Science and computational intelligence: The algorithms of the Data Science and Computational Intelligence (DSCI) have found their applications in various real world problems such as retail stores, bioinformatics, image classification, weather forecast, etc. The scope includes but is not limited to the following topics: Advanced data analytical models and applications, Social networks and social media analysis, Big data management and analysis, Machine learning for data science and applications, Spatial data and geographical data analysis, Medical data and image analysis, Analysis and applications of Bioinformatics, Business analytics modelling and applications.
  • Mathematics Education: contributions relating to Methodological Issuesin particular in Design-based research and Activity Theory in Mathematics Education Research.

Are you interested in attending the conference?