Dr Olugbenga Oluwagbemi

Dr. Olugbenga Oluwagbemi conducted his PhD researchat Johns Hopkins University, United States of America, as a J. Williams Fulbright Research Scholar and defendedhis 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 ofIbadan, Nigeria. He also obtained an advanced certificate fromthe Rochester Institute of Technology, United States of America, under the sponsorship of the J. William Fulbright Scholarship Foundation. Oluwagbemi held a 2-year NRF Innovationpostdoctoral research fellowship at the Department of Mathematical Sciences, Stellenbosch University (SU), South Africa. He was alsoan AfOx visiting postdoctoral researcher to the Big Data Institute, Li Ka ShingCentre for Health Information and Discovery, Nuffield Department of Medicine,University of Oxford, United Kingdom. Afterwards, he held another 2-year DAAD-fundedand Oppenheimer Memorial Trust-funded postdoctoral research associate fellowshipposition at Stellenbosch University, South Africa. Oluwagbemi was previously an Associate Professor of ComputerScience and IT at Sol Plaatje University, where he led a task team to developthe concept note and established the Centre for Applied Data Science at theuniversity. 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 aGlobal Talent immigration stream. He is a senior lecturer (US equivalent of associateprofessor) in Computer Science at Middlesex University, UK. He is also a C2 NRFrated established researcher in South Africa. Oluwagbemi has over 17 years ofteaching experience in teaching Computer Science and Information Technologycourses in different university settings. He has won some prestigiousindividual and collaborative international research grants. He has published inmany prestigious international journals.Oluwagbemi’s research interests include Climate change modelling; Computationalmodelling in health; Artificial Intelligence in Health; AI in Biomedical data science; Modelling the impact of climatechange effects on the proliferation of infectious and non-infectious diseases;Computational Health Informatics; Bioinformatics (Computational Genomics);Informatics in medicine; Computer-Aided Diagnosis; Information Technology inHealth; developing health informatics software and mobile applications forhealth management; Applied Data Science; Machine learning; He believes in Godand pursues quality and rigorous research