Oyamakin S.O. (2002): Index number of some subscribers to Nigeria telecommunication Limited Osogbo. National Diploma Project Submitted to the Department of Statistics, Osun State Polytechnic, Iree, Osun State, Nigeria.
Oyamakin S.O. (2006): Childhood Malnutrition in Nigeria- A case study of Oje community in Ibadan, Oyo State. B.Sc. Project, Department of Statistics, University of Ibadan.
Oyamakin S.O. (2010) Sensitivity of Simultaneous Equation Techniques to varying correlation coefficients. M.Sc. Thesis, Department of Statistics, University of Ibadan.
Oyamakin S.O. (2015): Development of Alternative Nonlinear Growth Models for Biological Processes Based on Hyperbolic Sine Function. Ph.D. Thesis, Department of Statistics, University of Ibadan.
Monte-Carlo Study of Asymptotic properties of Simultaneous Equation Estimators of correlated random deviates.
Development of an alternative nonlinear growth models for biological processes based on hyperbolic sine function.
Forestry Research Institute of Nigeria BIODATA analysis for GAP using Staff Distribution in terms of Gender, Area of Specialization, Educational Qualification, Promotion and Appointments.
My research interest has been majorly on statistical modeling with special interest to the development of nonlinear hyperbolic growth models for biological processes. Growth been a biological phenomenon with respect to time is important in understanding many biological entities. Modeling it plays an important role in the study of biological processes.
My research aimed at reparametizing the Malthusian Growth Equations and its variants by convoluting the hyperbolic sine function on growth equations to enhance internal prediction of biological entities through valid comparison. Weight of Japanese Quail; Coturnix coturnix L. (JQ) and Malaysian Oil Palm Fresh Fruit Bunches (MOPFFB), Top Height (NTH) from a Norwegian thinning experiment, sample plot 3661, Gmelina arborea Roxb. (GH), Pine (Pinus caribaea Morelet) (PH) and the diameter at breast height of Pine (Pinus caribaea Morelet) (PDBH) from organisations have been used to test the validity of the new models in terms of general fitness and internal predictive status as well as robustness.
Some other areas of research that is a bit diverse is also been considered example of which are human population predictions through intercensal and postcensal projections. Furthermore, studies are ongoing in the development of new models based on hyperbolic tangent especially for systems where growth rate is slow and measurable only at long intervals. A special consideration is also given to infectious disease modeling while looking at other areas of research in Public health.
The description, understanding and prediction of the long-term dynamics of forest ecosystems have fascinated ecologists for a long time. In spite of this, quantitative theories of forest dynamics are difficult to construct because of an inadequate database on long-term processes, their environmental influences, associated feedback mechanisms, and the lack of tools to synthesize the available knowledge. This study provided an extension to gaps using statistical distributions. This was achieved by representing deforested areas (Holes: Through aerial surveillance) in a natural forest as a probability distribution say f(x_i;θ), the likelihood and maximum likelihood of these distributions were obtained with a view to compare this method with the existing gap models in other to recover the vegetative cover and control the rate at which top soils are exposed to direct sunlight.
Population projections using improved dynamics with application to Nigeria population structures are very important for nation building. Hence, this study involves developing models for determining the population trends in Nigeria. We started this by developing deterministic models capable of mimicking the rates at which we increase as a nation, hyperbolic sine function was used in creating bounds for existing exponential equation so as to serve as a better way of predicting future population values for long term planning. The developed models would be compared with the existing ones so as to validate its usefulness in predicting future population values.
The first aspect of this work was done in 2013 and presented at the 13th Bi-Annual conference of the Sub-Saharan African network (SUSAN) of International biometrics society (IBS) in Ghana, where we computed and subjected the above ground biomass of eight tree species to statistical distribution test and came up with Weibull as the best statistical distribution for above ground biomass. We intend to improve on this by developing an index through which this can be computed without going through the various steps available in literature. This would be of greater importance to the implementation of REDD+ in Nigeria.
Public Health studies on Adolescent health, Infectious diseases modelling and Modified Quarantine modelling: This is an on-going work of the Africa Research, Implementation Science and Education (ARISE) Network of Harvard T. H. Chan School of Public Health in which University of Ibadan Research Foundation is a partner and I am a Mentee. This study is meant provide a baseline data as well as use statistical modelling tools to identify the critical aspects that have greater effect on the wellbeing of the adolescent with the overall goal of producing necessary data useful for the management and design of program interventions as well as in improving the lives of adolescents in the study population.
Allele evolution and extinction modelling, Modelling Gene-geneprotein network topologies and genotype by environment inferences.
Mathematical/Statistical modelling of emerging infectious diseases
Sensitivity of Genotype by Environment Interaction Models to outlying observation. .
XXIXth International Biometric Conference (IBC) of the International Biometric Society held at the Barcelona International Convention Centre, Barcelona, Spain, between 8-13 July 2018.
2nd International Conference of the Nigerian Statistical Society (Calabar 2018) titled Statistical Methods in Big data Research: Challenges and Prospects in Climate Change Modeling held at the University of Calabar, CES Building, Cross Rivers State, Calabar between Tuesday 10th – Friday, 13th April, 2018.
Royal Statistical Society Conference 2017, University of Strathclyde, Glasgow, United Kingdom.
1st International Conference of the Nigerian Statistical Society (NSS 2017) titled Statistical Research and its Applications held at the University of Ibadan Conference Center (UICC), Ibadan between Tuesday 3rd – Friday, 6th April, 2017.
ISI2017 Marrakech, 61st International Statistical Institute (ISI) World Statistics Congress, Marrakech, Morocco, 16 – 21 July, 2017.
Africa Research, Implementation Science and Education (ARISE) network meeting on Adolescent survey in the Sub Sahara. An initiative of the Harvard T. H. Chan, Global School of population studies and African Academy of Public Health (AAPH), held between January 19th – 23rd , 2016 at Dar es Salaam, United Republic of Tanzania.
39th Annual Conference of the Nigerian Statistical Association (NSA 2016) titled National Population Statistics and Sustainable Development held at the International Conference Center (ICC), Abuja between Wednesday 7th – Friday, 9th September, 2016
XIII International Conference on Energy, Ecology, Environment and Sustainable Development (ICEEESD 2015) by World Academy of Science, Engineering and Technology (WASET) held on 9th – 10th March, 2015 at Holiday Inn, Miami Beach, Florida, USA.
United Nations collaborative programme on Reducing Emissions from Deforestation and Forest Degradation in Developing Countries (UN-REDD+) Workshop on Participatory Governance Assessment (PGA) using Research undertaken in Cross River State Forestry Commission in developing Nigeria UN-REDD programme. January 15 – 18, 2013. Calabar. (CENRAD)
Faculty of Science International conference on Science and Susutainable development in Nigeria held between 13th- 17th May, 2013 in University of Ibadan, Nigeria.
32nd Annual Conference of the Nigerian Mathematical Society held in 25th – 28th June, 2013 at Obafemi Awolowo University (OAU), Osun State, Nigeria.
13th Bi-Annual conference of the Sub-Saharan African network (SUSAN) of International biometrics society (IBS) held on 4th – 8th August, 2013 in West End University college, Accra, Ghana.
4th Annual Ibadan Sustainable Development Summit of Center for sustainable development (CESDEV) in collaboration with the African sustainable Development Network (ASUDNET) held between 12th – 16th August 2013 in Ibadan, Nigeria.
Training Workshop on Basic Computer Tools with Applications and relevance to System Dynamics model building. –Institute of Genetic Chemistry and Laboratory medicine, Ibadan, 2012.
UNDP Training Workshop on Threshold 21 (T21): Using an Integrated model for Climate change & development planning. – July 26 – 27, 2012. Abuja. (CENRAD).
4th National conference of the School of Applied Science & Technology at Federal Polytechnic of Offa, Kwara State between 2nd – 4th June, 2010.
33rd Conference of the Forestry Association of Nigeria held at Benin City, Edo state, Nigeria. Between 25th – 29th October 2010.
43rd Annual conference of Agricultural Society of Nigeria held on 20th – 23rd October 2009 in Abuja, FCT.
Member, International Society for Computational Biology (ISCB)
Member, Society for Industrial and Applied Mathematics, USA.
Fellow, Royal Statistical Society, UK (Published in page 17, RSS News, Vol 38 No 6, 2010 Edition).
Member, Nigerian Statistical Association (NSA)
Member, Nigeria Statistical Society (NSS)
Member, International Biometric Society (IBS)
Member, Ecological Society of Australia (ESA).
Scientific Member, The Italian Environmetricians Group: GRASPA (Gruppo di Ricerca per le Applicazioni della Statistica ai Problemi Ambientali).
Member, International Statistics Institute (ISI), Netherlands
Member, Young Statistician group, NIGERIA.
Member, International Society for Agricultural Meteorology.
Member, German Alumni Association of Nigeria (GAAN)
Chartered Statistician (CStat.), Royal Statistical Society, UK (RSS)
Chartered Scientist (CSci.), Royal Statistical Society, UK (RSS)