Alaba T. Owoseni

Work place: Department of Computer Science, Interlink Polytechnic, Ijebu Jesa, Osun State, 233114, Nigeria



Research Interests: Software Engineering, Artificial Intelligence, Database Management System, Information Retrieval, Logic Calculi, Logic Circuit Theory


Mr. A. T. Owoseni, is currently a lecturer at department of Computer Science Interlink Polytechnic, Nigeria. His research interests include multi-valued logic, artificial intelligence (AI), information retrieval, programming logic, software engineering, and database management system. He is currently a member of International Association of Engineers; International Association for Computer Science and Information Technology; and few societies of International Association of Engineers.

Author Articles
Survey on Adverse Effect of Sophisticated Integrated Development Environments on Beginning Programmers’ Skillfulness

By Alaba T. Owoseni S. A. Akanji

DOI:, Pub. Date: 8 Sep. 2016

Integrated development environment as a software system that aids programmers in developing software applications quickly and effectively has been perceived to also serve as an inappropriate tool for beginning programmers when it is specially developed with some complex features. This complexity in features as perceived leaves the programmers with a double role of studying complexity found in the environment and the semantics with syntaxes of the concerned programming language. This paper categorizes few of the available integrated development environments based on program building tools that are integrated in them and also considers an experimental survey on their adverse effects on novice programmers by sampling programmers’ opinions using closed ended questionnaires. The population was randomly selected from some tertiary institutions in Nigeria. The opinions were statistically analyzed using chi square and based on the analysis, beginning programmers learning strengths are found greatly influenced by the type of integrated development environment used.

[...] Read more.
Mobile-Based Fuzzy Expert System for Diagnosing Malaria (MFES)

By Alaba T. Owoseni Isaac O. Ogundahunsi

DOI:, Pub. Date: 8 Mar. 2016

Malaria is a deadly disease that claims yearly lives of millions in Africa, and other endemic continents. The prevalence of malaria in these endemic regions is majorly attached to the lack of competent medical experts who are capable of providing medical care for the affected victims. This study considers developing a mobile based fuzzy expert system that could assist in diagnosing malaria. The fuzzification of crisp inputs by the system was carried out using an inter-valued and triangular membership functions while the deffuzification of the inference engine outputs was performed by weighted average method. Root sum square method of drawing inferences has been employed while the whole development has been achieved with the help of Java 2 Micro Edition of Java. This expert system executes on the readily available mobile devices of the patients. This fuzzy system was finally evaluated and confirmed effective in providing a human-expert like diagnosis.

[...] Read more.
A Mobile-Based Fuzzy System for Diagnosing Syphilis (Sexually Transmitted Disease)

By Alaba T. Owoseni Isaac O. Ogundahunsi Seun Ayeni

DOI:, Pub. Date: 8 Dec. 2014

The high rate at which Africans die of syphilis yearly has been majorly attributed to the uneven ratio of the patients to competent medical practitioners who provide Medicare. This mortality rate has always drawn the attention of researchers and different approaches had been used to bring the rate down. This paper provides a software solution that personifies the expert-like way of providing diagnostic service to patients who suffer this disease. It is capable of making approximate diagnosis based on uncertainties. The system has been structured into five components: user interface, fuzzification, knowledge base, inference engine and defuzzification. The user interface uses a graphic user interface based method of human-computer interaction while the fuzzification component has transformed crisp quantities into fuzzy quantities using both interval-valued and S-curve membership functions. The reasoning has been achieved using root sum square (RSS) method and transformation of fuzzy values to scalar ones was through weighted average method. This system was tested and found effective.

[...] Read more.
Other Articles