Dr Olugbenga Oluwagbemi
| Name | Dr Olugbenga Oluwagbemi |
|---|---|
| Job title | Senior Lecturer in Computing Science |
| Research institute | |
| Primary appointment | Computer Science |
| Email address | O.Oluwagbemi@mdx.ac.uk |
| ORCID | https://orcid.org/0000-0001-9085-3370 |
| Contact category | Academic staff |
Biography
Biography Dr. Olugbenga Oluwagbemi conducted his PhD research
at Johns Hopkins University, United States of America, as a J. Williams Fulbright Research Scholar and defended
his PhD Computer Science thesis in Covenant University, Nigeria. He obtained a BSc
(Hons) Computer Science degree from the University of Ilorin, and MSc Computer Science degree from the University of
Ibadan, Nigeria. He also obtained an advanced certificate from
the Rochester Institute of Technology, United States of America, under the sponsorship of the J. William Fulbright Scholarship Foundation. Oluwagbemi held a 2-year NRF Innovation
postdoctoral research fellowship at the Department of Mathematical Sciences, Stellenbosch University (SU), South Africa. He was also
an AfOx visiting postdoctoral researcher to the Big Data Institute, Li Ka Shing
Centre for Health Information and Discovery, Nuffield Department of Medicine,
University of Oxford, United Kingdom. Afterwards, he held another 2-year DAAD-funded
and Oppenheimer Memorial Trust-funded postdoctoral research associate fellowship
position at Stellenbosch University, South Africa. Oluwagbemi was previously an Associate Professor of Computer
Science and IT at Sol Plaatje University, where he led a task team to develop
the concept note and established the Centre for Applied Data Science at the
university. He has research experience at various universities in the United States of America, United Kingdom,
South Africa, and Nigeria. He has the UK Royal Society’s endorsement for a
Global Talent immigration stream. He is a senior lecturer (US equivalent of associate
professor) in Computer Science at Middlesex University, UK. He is also a C2 NRF
rated established researcher in South Africa. Oluwagbemi has over 17 years of
teaching experience in teaching Computer Science and Information Technology
courses in different university settings. He has won some prestigious
individual and collaborative international research grants. He has published in
many prestigious international journals.
Oluwagbemi’s research interests include Climate change modelling; Computational
modelling in health; Artificial Intelligence in Health; AI in Biomedical data science; Modelling the impact of climate
change effects on the proliferation of infectious and non-infectious diseases;
Computational Health Informatics; Bioinformatics (Computational Genomics);
Informatics in medicine; Computer-Aided Diagnosis; Information Technology in
Health; developing health informatics software and mobile applications for
health management; Applied Data Science; Machine learning; He believes in God
and pursues quality and rigorous research
Teaching Dr. Oluwagbemi has successfully taught the security aspects of Data Science in the course/module: CST4080: Legal, Ethical and Security Aspects of Data Science in Middlesex University London, United Kingdom He also currently teaches the following courses/modules in Middlesex University London, UK: 1. CST4080: Legal, Ethical and Security Aspects of Data Science [Ethical Aspects] 2. CST4090 :Individual Data Science project 3. CST4444: Individual Project 4. CST3390: Undergraduate individual project 5. CST4125: Blockchain Development He had previously taught different computer science, and bioinformatics courses/modules at undergraduate and postgraduate levels in previous universities over 17 years. He has also taught few mathematical courses. Current Supervision Postdoctoral Supervision I am currently about to start supervising one(1) Postdoc candidate through a UK African Research Excellence Fellowship (AREF) external research funding that has just been successfully won. PhD Supervision I am currently co-Supervising 1 PhD student MSc Supervision I am currently supervising some MSc Computer Science and Data Science students. I have successfully supervised 7 MSc Computer Science and Data Science candidates. I have successfully assessed 8 MSc Computer Science thesis/dissertations, and successfully examined 3 MSc oral defence. BSc Supervision I have successfully supervised a total of 72 BSc Honours students.
Employment
Education and qualifications
Defended my PhD thesis in Nigeria
I conducted my PhD research in Computer Science, under the sponsorship of the J. William Fulbright Foundation, in Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, United States of America
Rochester Institute of Technology, Rochester, New York, United States of America, July - August 2010
Attended an intensive and comprehensive course under the sponsorship of the J. William Fulbright Foundation of the United States of America Government.
Grants
Deutscher Akademischer Austausch Dientst (DAAD) – German Academic Exchange Service Climate Research Alumni and Postdocs Africa (CLAP): 2-Year Personal DAAD Research Grant with Grant Award/Scholarship
Reference Number: ST32/ 91769426)
Grant Amount: = Above €35,000 Euro => Above £30,661.20
National Research Foundation (2021- 2026). Incentive Funding for Rated Researchers (IPRR); NRF Grant No: 132240
Project Title: Applied Computational Science Research
Years: 2021
Role: Principal Investigator
Amount: = £2,888.19
Oppenheimer Memorial Trust Personal Research Grant Award (2020-2021) for Research in University of Stellenbosch; Grant Award/ Scholarship Reference Number: OMT Ref. 21563/01)
Years: 2020-2021
Role: Principal Investigator
Amount: = = £16,541.21
Grant Institution: DFID, Germany
Title & Grant Number: TUM Global Incentive Fund (DFID, Germany);
Project Title: A Grant Proposal titled “Advancing Malaria to Real Time Forecast”
Years: 2020
Role: Co-Investigator
Amount: = €15,000 Euro = £12,727.08
2019 National Research Foundation (NRF), Travel, Training and Conference Grants: Scholarship-and-Fellowship-holders’ Grant Award with Reference/Award Number: TGSF190222420486
Project Title/purpose: Travel, Training and Conference Grants: Scholarship-and-Fellowship-holders’ Grant Award
Years: 2019
Role: Principal Investigator
Amount: = £2,063.18
University of Oxford African-Oxford Initiative (AfOx) Collaborative Research Grant (2019) With Grant Award Number: AfiOX-136
Project Title: Multi-modelling of malaria control and elimination
Years: 2019
Role: Principal Investigator
Amount: = £4,738
DST/NRF Innovation Postdoctoral Fellowship Grant Award (2018); Reference: SFP170529234304; Grant Award Number: UID: 111988).
Project Title: Agent-Based Computational Models and indigenous multi-lingual informatics system for HIV control in South Africa
Years: 2018-2020
Role: Principal Investigator
Amount: = = £35,283.28
H3ABIONET/ H3Africa International Research Grant - National Institute of Health/ Wellcome Trust, United States of America. H3ABioNet is funded by National Institute of Health (NIH) Common Fund Award / National Human Genome Research Institute (NHGRI) with Grant Number U41HG006941 (2013-2018);
Project Title/purpose: Grant towards Capacity development in bioinformatics research in Africa
Years: 2013 -2018
Role: Co-Investigator
Amount: = = £243,712.76
The Fulbright Fellowship Research Grant Award based on a PhD Fellowship (Status: Successful – Grant Number: 15101137);
Project Title: proposal titled “Parasite development in the Anopheles as a Target for Malaria Control and Eradication: A Bioinformatics Approach”, submitted towards the Fellowship Research Grant Award.
Years: 2010 - 2011
Role: Principal Investigator
Amount: = over £84 534.43
An International Advanced Course Workshop Travel Grant. University of Florida International Clinics on Infectious Diseases, Dynamics and Data (ICI3D) Program which is supported by the National Institute of General Medical Science of the U.S. National Institutes of Health under Award number R25GM102149.
Project Title: “TrypanoSpEx: Trypanosomiasis Spatially-Explicit Computational Model towards eradicating sleeping sickness”
Years: 2015
Role: Presenter of poster
Amount: = == £1,378.44
Projects
- ST32/91769426
Prizes and Awards
Deutscher Akademischer Austausch Dientst (DAAD) – German Academic Exchange Service Climate Research Alumni and Postdocs Africa (CLAP): 2-Year Personal DAAD Research Grant Award
2020-04-01
Deutscher Akademischer Austauschdienst (DAAD), Germany
National Research Foundation (2021- 2026) Incentive Funding for Rated Researchers (IPRR) Award
2021-03-05
National Research Foundation, South Africa
Oppenheimer Memorial Trust Research Grant Award
2021-02-24
Oppenheimer Memorial Trust [OMT], South Africa
C2 National Research Foundation (NRF) Researcher Rating Award
2021-01-05
National Research Foundation (NRF), South Africa
Vice-Rector’s Research, Innovation, and Postgraduate Studies 2018 Postdoctoral Fellow Award for Exceptional Achievement and for being among the Top 20 Postdocs in Stellenbosch University, South Africa
2018-11-21
Vice-Rector’s Research, Innovation, and Postgraduate Studies Office, Stellenbosch University, South Africa
DST-NRF 2018 Innovation Postdoctoral Fellowship Award
2018-01-04
National Research Foundation (NRF), South Africa
Young Researcher Award (Postdoctoral category), 4th Heidelberg Laureates Fellows Forum
2016-09-01
Heidelberg Laureates Fellows Forum Committee, Germany
Richard Tapia Scholarship Award recipient and ACM SIG Travel Grant recipient on Richard Tapia Celebration of Diversity in Computing
2013-01-28
Richard Tapia Scholarship and ACM SIG Committee, Washington DC, United States of America
Wellcome Trust and H3ABIONET Computational Biology/Bioinformatics Travel Grant and Workshop Grant Award to an ISCB-ASBCB Cassablanca International Scientific Conference
2013-01-24
Wellcome Trust and H3ABIONET, United Kingdom and United States of America
5th Place [Mentor Award] National Computer Programming Contest – National Mathematical Center, Abuja, Nigeria (2012).
2012-10-25
National Mathematical Center, Nigeria
5th and 6th Place [Mentor Award] ACM (Association for Computing Machinery)-ICPC (International Collegiate Programming Contest) 13th South African Regional Computer Programming Contest, Certificate of Achievement
2011-10-25
ACM-ICPC 13th South African Regional Computer Programming Contest Committee, South Africa
3rd Place - Bronze Medal Winner [Mentor Award] National Computer Programming Contest – Certificate of Merit
2011-09-24
National Mathematical Center, Nigeria
Scientific Project B – 2nd Position in 2011 Fulbright Enrichment Project Competition, New York City, United States of America, (2011)
2011-04-23
Fulbright Foundation, United States of America
Fulbright Research Scholar Award
2010-01-10
Fulbright Foundation, United States of America
Fulbright Summer Program Award
2010-01-10
Fulbright Foundation, United States of America
Evidence to public body
External activities
Research outputs
Facial emotion recognition and classification using the Convolutional Neural Network-10 (CNN-10)
Dada, E., Oyewola, D., Joseph, S., Emebo, O. and Oluwagbemi, O. 2023. Facial emotion recognition and classification using the Convolutional Neural Network-10 (CNN-10). Applied Computational Intelligence and Soft Computing. 2023. https://doi.org/10.1155/2023/2457898Ensemble machine learning for Monkeypox transmission time series forecasting
Dada, E.G., Oyewola, D.O., Joseph, S.B., Emebo, O. and Oluwagbemi, O. 2022. Ensemble machine learning for Monkeypox transmission time series forecasting. Applied Sciences. 12 (23). https://doi.org/10.3390/app122312128Application of deep learning techniques and Bayesian optimization with tree parzen estimator in the classification of supply chain pricing datasets of health medications
Oyewola, D., Dada, E., Omotehinwa, T., Emebo, O. and Oluwagbemi, O. 2022. Application of deep learning techniques and Bayesian optimization with tree parzen estimator in the classification of supply chain pricing datasets of health medications. Applied Sciences. 12 (19). https://doi.org/10.3390/app121910166Insights into the impacts of and responses to COVID-19 pandemic: The South African food retail supply chains perspective
Omoruyi, O., Dakora, E.A. and Oluwagbemi, O. 2022. Insights into the impacts of and responses to COVID-19 pandemic: The South African food retail supply chains perspective. Journal of Transport and Supply Chain. 16. https://doi.org/10.4102/jtscm.v16i0.739Using deep 1D convolutional grated recurrent unit neural network to optimize quantum molecular properties and predict intramolecular coupling constants of molecules of potential health medications and other generic molecules
Oyewola, D.O., Dada, E.G., Emebo, O. and Oluwagbemi, O. 2022. Using deep 1D convolutional grated recurrent unit neural network to optimize quantum molecular properties and predict intramolecular coupling constants of molecules of potential health medications and other generic molecules. Applied Sciences. 12 (14). https://doi.org/10.3390/app12147228Towards resolving challenges associated with climate change modelling in Africa
Oluwagbemi, O., Hamutoko, J.T., Fotso-Nguemo, T.C., Lokonon, B.O.K., Emebo, O. and Kirsten, K.L. 2022. Towards resolving challenges associated with climate change modelling in Africa. Applied Sciences. 12 (14). https://doi.org/10.3390/app12147107Bioinformatics, computational informatics, and modeling approaches to the design of mRNA COVID-19 vaccine candidates
Oluwagbemi, O., Oladipo, E.K., Kolawole, O.M., Oloke, J.K., Adelusi, T.I., Irewolede, B.A., Dairo, E.O, Ayeni, A.E., Kolapo, K.T., Akindiya, O.E., Oluwasegun, J.A., Oluwadara, B.F. and Fatumo, S. 2022. Bioinformatics, computational informatics, and modeling approaches to the design of mRNA COVID-19 vaccine candidates. Computation. 10 (7). https://doi.org/10.3390/computation10070117Molecular dynamic simulation reveals structure differences in APOL1 variants and implication on pathogenesis of chronic kidney disease
Mayanja, R., Kintu, C., Diabate, O., Soremekun, O., Oluwagbemi, O., Wele, M., Kalyesubula, R., Jjingo, D., Chikowore, T. and Fatumo, S. 2022. Molecular dynamic simulation reveals structure differences in APOL1 variants and implication on pathogenesis of chronic kidney disease. Genes. 13 (8). https://doi.org/10.3390/genes13081460Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains
Oluwagbemi, O., Oladipo, E., Dairo, E., Ayeni, A., Irewolede, B., Jimah, E., Oyewole, M., Olawale, B., Adegoke, H. and Ogunleye, A. 2022. Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains. Informatics in Medicine Unlocked . 28. https://doi.org/10.1016/j.imu.2022.100845Resolving challenges associated with climate chance modelling in Africa
Oluwagbemi, O. 2020. Resolving challenges associated with climate chance modelling in Africa. Virtual DAAD ClimapAfrica Conference 2020. Virtual 29 - 30 Oct 2020Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses
Asogbon, M.G., Samuel, O.W., Geng, Y., Oluwagbemi, O., Ning, J., Chen, S., Ganesh, N., Feng, P. and Li, G. 2020. Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses. Computer Methods and Programs in Biomedicine. 184. https://doi.org/10.1016/j.cmpb.2019.105278MAFODKM: Mobile application framework for the management of omics data and knowledge mining
Oluwagbemi, O., Adewumi, Misra, S. and Leon, M. 2020. MAFODKM: Mobile application framework for the management of omics data and knowledge mining. Journal of Physics: Conference Series. 1566 (1). https://doi.org/10.1088/1742-6596/1566/1/012132MAVSCOT: A fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa
Oluwagbemi, O., Oluwagbemi, F.E., Jatto, A. and Hui, C. 2020. MAVSCOT: A fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa. PLoS ONE. 15 (11). https://doi.org/10.1371/journal.pone.0241864First Nigerian Bioinformatics Conference (FNBC): towards a dynamic bioinformatics community
Ebenezer, T., Isewon, I., Oladipo, E., Awe, O., Adebiyi, M., Ajamma, Y., Afolabi-Balogun, N., Toye, E., Fasesan, D., Kashim, Z., Oluwagbemi, O., Oyelade, J., Ogbole, F., Benthai, B., Asilebo, I., Abraham, A., Oduwole, T., Adamolekun, E., Adetunji, C., Ahmad, U., Tijjani, A., Akinleye, C., Osamor, V., Onwuamah, C., Amoo, O., Taiwo, I., Iwalokun, B., Ekenna, C., Salako, B., Adebiyi, E., Nashiru, O. and Fatumo, S. 2019. First Nigerian Bioinformatics Conference (FNBC): towards a dynamic bioinformatics community. https://doi.org/10.31219/osf.io/hbq5cImplementation of a TCM-based computational health informatics diagnostic tool for Sub-Saharan African students
Oluwagbemi, O. and Jatto, A. 2019. Implementation of a TCM-based computational health informatics diagnostic tool for Sub-Saharan African students. Informatics in Medicine Unlocked . 14, pp. 43-58. https://doi.org/10.1016/j.imu.2018.12.002A comparative computational genomics of Ebola Virus Disease strains: in-silico insight for Ebola control
Oluwagbemi, O. and Awe, O. 2018. A comparative computational genomics of Ebola Virus Disease strains: in-silico insight for Ebola control. Informatics in Medicine Unlocked . 12, pp. 106 - 119. https://doi.org/10.1016/j.imu.2018.07.004A model for memo tracking and delivery
Adewumi, S., Agbo, F., Oluwagbemi, O., Oladipo, F. and Ogbuju, E. 2018. A model for memo tracking and delivery. Confluence Journal of Pure and Applied Sciences. 2 (2), pp. 1-19.A novel computational framework for exploring biologically-related clean and sustainable energy to meet Africa and Europe's electricity demands
Oluwagbemi, O., Oluwagbemi, F. and Afolabi, O. 2017. A novel computational framework for exploring biologically-related clean and sustainable energy to meet Africa and Europe's electricity demands. 2017 European Conference on Sustainability, Energy & the Environment. Brighton, UK 07 - 09 Jul 2017Harnessing the potentials of fuzzy logic and voice-computing in the development of anti-malaria drug informatics software
Oluwagbemi, O., Oluwagbemi, F. and Fagbore, O. 2017. Harnessing the potentials of fuzzy logic and voice-computing in the development of anti-malaria drug informatics software. ISCB Africa ASBCB 2017 Conference on Bioinformatics. Entebbe, Uganda 10 - 12 Oct 2017Malavefes: A computational voice-enabled malaria fuzzy informatics software for correct dosage prescription of anti-malarial drugs
Oluwagbemi, O., Oluwagbemi, F.E. and Fagbore, O. 2018. Malavefes: A computational voice-enabled malaria fuzzy informatics software for correct dosage prescription of anti-malarial drugs. Journal of King Saud University - Computer and Information Sciences. 30 (2), pp. 185-197. https://doi.org/10.1016/j.jksuci.2017.04.003Informatics tools supporting biomedical research and healthcare outcomes in Africa: current utilization and strategies to improve access
Ogeh, D., Fatumo, S., Oluwagbemi, O. and Adenmosun, O. 2016. Informatics tools supporting biomedical research and healthcare outcomes in Africa: current utilization and strategies to improve access . European Journal of Scientific Research . 138 (2), pp. 137-151.Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): a complementary framework for medical practitioners and patients
Oluwagbemi, O., Oluwagbemi, F. and Ughamadu, C. 2016. Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): a complementary framework for medical practitioners and patients. Informatics in Medicine Unlocked . 2, pp. 38-69. https://doi.org/10.1016/j.imu.2016.03.001Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD)
Oluwagbemi, O., Oluwagbemi, F. and Abimbola, O. 2016. Ebinformatics: Ebola fuzzy informatics systems on the diagnosis, prediction and recommendation of appropriate treatments for Ebola virus disease (EVD). Informatics in Medicine Unlocked . 2, pp. 12-37. https://doi.org/10.1016/j.imu.2015.12.001Computational and mathematical modelling: Applicability to infectious disease control in Africa
Oluwagbemi, O., Ogeh, D.N., Adewumi, A. and Fatumo, S.A. 2016. Computational and mathematical modelling: Applicability to infectious disease control in Africa. Asian Journal of Scientific Research. 9 (3), pp. 88-105. https://doi.org/10.3923/ajsr.2016.88.105A comparative analysis of the genetic relationships between the pathogens of Ebola Hemorrhagic Fever, Marburg Virus, HIV, Hepatitis A, Hepatitis B, Hepatitis C, Hepatitis D, and Hepatitis E
Olaitan, A., Oluwagbemi, O. and Fatumo, S. 2015. A comparative analysis of the genetic relationships between the pathogens of Ebola Hemorrhagic Fever, Marburg Virus, HIV, Hepatitis A, Hepatitis B, Hepatitis C, Hepatitis D, and Hepatitis E. ISCB Africa ASBCB 2015 Conference on Bioinformatics. Dar es Salaam, Tanzania 09 - 11 Mar 2015Soft skills: An important asset acquired from organizing regional student group activities
de Ridder, J., Meysman, P., Oluwagbemi, O. and Abeel, T. 2014. Soft skills: An important asset acquired from organizing regional student group activities. PLoS Computational Biology. 10 (7). https://doi.org/10.1371/journal.pcbi.1003708Paving the way towards a successful and fulfilling career in computational biology
Oluwagbemi, O., Adebiyi, M., Fatumo, S. and Macintyre, G. 2014. Paving the way towards a successful and fulfilling career in computational biology. PLoS Computational Biology. 10 (5). https://doi.org/10.1371/journal.pcbi.1003593Computational biology and bioinformatics in Nigeria
Fatumo, S., Adoga, M., Ojo, O., Oluwagbemi, O., Adeoye, T., Ewejobi, I., Adebiyi, M., Adebiyi, E., Bewaji, C. and Nashiru, O. 2014. Computational biology and bioinformatics in Nigeria. PLoS Computational Biology. 10 (4). https://doi.org/10.1371/journal.pcbi.1003516BengaSaVex: a computational genetic sequence extraction tool on DNA repeats of multiple gene sequences
Oluwagbemi, O., Imolorhe, S. and Agozie, V. 2014. BengaSaVex: a computational genetic sequence extraction tool on DNA repeats of multiple gene sequences. African Journal of Biotechnology . 13 (21), pp. 2103-2112. https://doi.org/10.5897/ajb12.1903A cross-platform mobile application for storing and accessing fundamental omics knowledge in bioinformatics and computational biology
Oluwagbemi, O. and Adewumi, A. 2013. A cross-platform mobile application for storing and accessing fundamental omics knowledge in bioinformatics and computational biology. 2013 Richard Tapia Celebration of Diversity in Computing Conference. Washington D.C., USA 07 - 10 Feb 2013Insights from computational modeling and simulation towards promoting public health among African countries
Oluwagbemi, O., Adewumi, A. and Akindun, F. 2013. Insights from computational modeling and simulation towards promoting public health among African countries. International Conference on ICT for Africa 2013. Harare, Zimbabwe 20 - 23 Feb 2013A stochastic computational model for Anopheles metapopulation dynamics: towards malaria control and insight for eradication
Oluwagbemi, O. 2013. A stochastic computational model for Anopheles metapopulation dynamics: towards malaria control and insight for eradication. LAP Lambert Academic Publishing.ANOSPEX: a stochastic, spatially explicit model for studying anopheles metapopulation dynamics
Oluwagbemi, O., Fornadel, C.M., Adebiyi, E.F., Norris, D.E. and Rasgon, J.L. 2013. ANOSPEX: a stochastic, spatially explicit model for studying anopheles metapopulation dynamics. PLoS ONE. 8 (7). https://doi.org/10.1371/journal.pone.0068040An analysis of scripting languages for research in applied computing
Oluwagbemi, O., Adewumi, A., Misra, S., Majekodunmi, F. and Fernandez, L. 2013. An analysis of scripting languages for research in applied computing. 2013 IEEE 16th International Conference on Computational Science and Engineering. Sydney, NSW, Australia 03 - 05 Dec 2013 IEEE. pp. 1174-1180 https://doi.org/10.1109/CSE.2013.174AnoSpEx: a spatially explicit predictive computational model for studying Anopheles metapopulation dynamics towards malaria control
Oluwagbemi, O. 2012. AnoSpEx: a spatially explicit predictive computational model for studying Anopheles metapopulation dynamics towards malaria control. PhD thesis Covenant University Department of Computer ScienceIntegrating novel genetic control methods into AnoSpEx: an advanced mathematical simulation model for malaria eradication campaign
Oluwagbemi, O. 2012. Integrating novel genetic control methods into AnoSpEx: an advanced mathematical simulation model for malaria eradication campaign. 2012 World Malaria Day Symposium. Covenant University, Nigeria 25 - 25 Apr 2012Computational predictive framework towards the control and reduction of malaria incidences in Africa
Oluwagbemi, O. and Yah, C. 2012. Computational predictive framework towards the control and reduction of malaria incidences in Africa. Egyptian Computer Science Journal. 36 (2), pp. 1-17.Promoting public health and safety: a predictive modeling software analysis on perceived road fatality contributory factors
Oluwagbemi, O. 2012. Promoting public health and safety: a predictive modeling software analysis on perceived road fatality contributory factors. African Journal of Computing and ICTs. 5 (5), pp. 23-36.Development of a prototype hybrid-grid-based computing framework for accessing bioinformatics databases and resources
Oluwagbemi, O. 2012. Development of a prototype hybrid-grid-based computing framework for accessing bioinformatics databases and resources. Scientific Research and Essays . 7 (7), pp. 730-739.MACbenabim: A multi-platform mobile application for searching keyterms in computational biology and bioinformatics
Oluwagbemi, O., Adewumi, A. and Esuruoso A. 2012. MACbenabim: A multi-platform mobile application for searching keyterms in computational biology and bioinformatics. Bioinformation. 8 (16), pp. 790-791. https://doi.org/10.6026/97320630008790AnoSpEx: a stochastic spatially-explicit computational model to simulate Anopheles Gambiae metapopulation dynamics
Oluwagbemi, O., Fornadel, C., Adebiyi, E., Norris, D. and Rasgon, J. 2011. AnoSpEx: a stochastic spatially-explicit computational model to simulate Anopheles Gambiae metapopulation dynamics. 2011 World Malaria Day Symposium. Johns Hopkins Malaria Research Institute (JHMRI), Baltimore, MA, USA 25 - 25 Apr 2011Design and implementation of a secured census information management system
Oluwagbemi, O., Keshinro, M. and Ayo, C. 2011. Design and implementation of a secured census information management system. Egyptian Computer Science Journal. 35 (1), pp. 1-11.Development of a secured information system to manage malaria related cases in southwestern region of Nigeria
Oluwagbemi, O., Ojutalayo, T. and Obinna, N. 2010. Development of a secured information system to manage malaria related cases in southwestern region of Nigeria. Egyptian Computer Science Journal. 34 (5), pp. 23-34.In-silico approach to the development of a prototype clinical information system for pediatric units
Oluwagbemi, O. and Ogunmowoju, T. 2010. In-silico approach to the development of a prototype clinical information system for pediatric units. International Journal of Natural and Applied Sciences . 6 (3), pp. 254-262.Development of a medical staff recruitment system for teaching hospitals in Nigeria
Oluwagbemi, O. and Akinsanya, A. 2010. Development of a medical staff recruitment system for teaching hospitals in Nigeria. International Journal of Natural and Applied Sciences . 6 (1), pp. 116-124.Reducing road-traffic accidents on African roads through a computer simulation programming approach
Oluwagbemi, O. 2010. Reducing road-traffic accidents on African roads through a computer simulation programming approach. Australian Journal of Basic and Applied Sciences. 4 (8), pp. 3016-3024.Diagnosis and recommender system for some neglected tropical diseases
Oluwagbemi, O. and Oladunni, B. 2010. Diagnosis and recommender system for some neglected tropical diseases. International Journal of Natural and Applied Sciences . 6 (2), pp. 181-188.A knowledge-based data mining system for diagnosing malaria related cases in healthcare management
Oluwagbemi, O., Ofoezie, U. and Obinna, N. 2010. A knowledge-based data mining system for diagnosing malaria related cases in healthcare management. Egyptian Computer Science Journal. 34 (4), pp. 1-10.A comparative analysis of different neural networks performances in the prediction of superimposed fraud in mobile phone usage
Oluwagbemi, O. 2010. A comparative analysis of different neural networks performances in the prediction of superimposed fraud in mobile phone usage. Australian Journal of Basic and Applied Sciences. 4 (8), pp. 3025-3037.Development and implementation of a bioinformatics online distance education learning tool in Africa
Oluwagbemi, O. 2009. Development and implementation of a bioinformatics online distance education learning tool in Africa. Turkish Online Journal of Distance Education.Exploring the potency of neural networks in analyzing cases of malaria occurrence in Africa
Oluwagbemi, O. and Yah, C. 2009. Exploring the potency of neural networks in analyzing cases of malaria occurrence in Africa. The European Science Foundation International Conference on Infectious Diseases: From Basic to Translational Research. Cape Town, South Africa 04 - 09 Apr 2009An alternative malaria control strategy for malaria research in Africa: an artificial neural network approach
Oluwagbemi, O., Yah, C. and Olubajo, K. 2009. An alternative malaria control strategy for malaria research in Africa: an artificial neural network approach. 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and the 8th European Conference on Computational Biology (ECCB). Stockholm International Fairs (Stockholmassan), Stockholm, Sweden 27 Jun - 02 Jul 2009Building a computer-based expert system for malaria environmental diagnosis: an alternative malaria control strategy
Oluwagbemi, O., Adeoye, E. and Fatumo, S. 2009. Building a computer-based expert system for malaria environmental diagnosis: an alternative malaria control strategy. Egyptian Computer Science Journal. 33 (1), pp. 55-69.Comparison of ACB transporter genes of Plasmodium species: a search in elucidating new discoveries toward malaria parasite
Oluwagbemi, O., Clarence, Y. and Ezekiel, A. 2008. Comparison of ACB transporter genes of Plasmodium species: a search in elucidating new discoveries toward malaria parasite. European Molecular Biology Network (EMBnet) Conference 2008: 20th Anniversary Celebration. Leading Applications and Technologies in Bioinformatics. Martina, Franca, Italy 18 - 20 Sep 2008Modeling the malaria parasite-mosquito midgut cell interactions
Adebiyi, E., Oluwagbemi, O. and Doumbia, S. 2008. Modeling the malaria parasite-mosquito midgut cell interactions. 6th Annual Rocky Mountain Bioinformatics Conference. Aspen/Snowmass, Colorado, United States 04 - 07 Dec 2008 International Society for Computational Biology.Predicting fraud in mobile phone usage using artificial neural networks
Oluwagbemi, O. 2008. Predicting fraud in mobile phone usage using artificial neural networks. Journal of Applied Sciences Research. 4 (6), pp. 707-715.A grid based framework for pervasive healthcare using wireless sensors networks: a case for developing nations
Daramola, J., Osamor, V. and Oluwagbemi, O. 2008. A grid based framework for pervasive healthcare using wireless sensors networks: a case for developing nations. Asian Journal of Information Technology. 7 (6), pp. 260-267.PQ trees, consecutive ones problem and applications
Oluwagbemi, O., Adebiyi, E., Fatumo, S. and Dawodu, A. 2008. PQ trees, consecutive ones problem and applications. International Journal of Natural and Applied Sciences . 4 (3), pp. 262-277. https://doi.org/10.4314/ijonas.v4i3.49860Evaluating the relationship between a generic-based filtering program and DNA sequences
Oluwagbemi, O. and Omonhinmi, C. 2008. Evaluating the relationship between a generic-based filtering program and DNA sequences. Pacific Journal of Science and Technology. 9 (2), pp. 647-657.NOVESHIA: novel smart health informatics architecture to cater for the emotional and mental wellbeing of England NHS workers in the United Kingdom
Oluwagbemi, O., Barretto, S. and Isafiade, O. 2024. NOVESHIA: novel smart health informatics architecture to cater for the emotional and mental wellbeing of England NHS workers in the United Kingdom. Hornos, M., Slapničar, G. and Yu, J. (ed.) 20th International Conference on Intelligent Environments (IE2024). Ljubljana, Slovenia 17 - 20 Jun 2024 Slovenia IOS Press. pp. 68-77 https://doi.org/10.3233/AISE240016An in-silico analysis of OGT gene association with diabetes mellitus
Ayodele, O., Udosen, B., Oluwagbemi, O., Oladipo, E., Omotuyi, I., Isewon, I., Nash, O., Soremekun, O. and Fatumo, F. 2024. An in-silico analysis of OGT gene association with diabetes mellitus. BMC Research Notes. 17. https://doi.org/10.1186/s13104-024-06744-5Interactive machine learning framework for predicting non-performing bank loans
Azeta, A., Nwaocha, V., Shofadekan, S., Tjiraso, S. and Oluwagbemi, O. 2023. Interactive machine learning framework for predicting non-performing bank loans. 2nd International Conference on Information Systems and Emerging Technologies. Namibia University of Science and Technology 17 - 19 Oct 2023 SSRN. https://doi.org/10.2139/ssrn.46477441970
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