The forthcoming “5th Strathmore International Mathematics Conference (SIMC 2019)” to be held during the week of August 12 – 16, 2019 is part of a series of biannual international mathematics conferences that the Institute of Mathematical Sciences , Strathmore University hosts every two years, as a part of its research initiatives and mandate.
The SIMC 2019 will be a follow up of the recent “4th Strathmore International Mathematics Conference (SIMC 2017)” which was held in June 19 – 23, 2017 at Strathmore University. During SIMC 2017, both formal and informal discussions concluded with a strong observation that there is a real need for universities and other organizations in Africa to foster activities focused on nurturing the research careers of young mathematicians, and sowing the seeds for building future groups of research collaboration.
Call for paper Submit paper
Draft paper submission deadline：2019-06-30
Abstract submission deadline：2019-04-30
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 Issues, in particular in Design-based research and Activity Theory in Mathematics Education Research.
Local Scientific committee
Dr. Rachel Waema Mbogo
Prof. V.P. Onyango-Otieno
Prof. John Odhiambo
Prof. L. Luboobi
Dr. Mary Ochieng
Dr. Lucy muthoni
Dr. Thomas Achia
Prof. John Ogonji Agure
Prof. N. Omolo Ongati
Dr Marguerite O’Connor
Dr Vincent Omwenga
Dr. Samuel Chege
Dr. Helen Osiolo
Dr. Collins Odhiambo
Dr. Godfrey Madigu
Rachael Aketch (Secretary)
International Scientific committee
Prof. Penina Kamina , State University of New York, USA
Prof. Bernard Omolo , University of South Carolina, USA
Prof. Henry Mwambi, University of KwaZulu-Natal, South Africa
Dr. Balazs Szendroi , Oxford University, UK
Prof. Jean-Baptist Gatsinzi , Botswana International University of Science and Technology (BIUST)
Prof. Farai Nyabadza, University of Johannesburg, South Africa
Prof. Bruno Buonomo, University of Naples "Federico II", ITALY
Prof. Eunice Mureithi, University of Dar es Salaam, Tanzania
Prof. Michael Ingleby, Visiting Professor at Leeds University, UK