Lecturer at Near East University, Cyprus.
Oluwafemi Ayotunde Oke is a passionate researcher and lecturer specializing in Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity. He holds a Ph.D. in Computer Information Systems from Near East University and has extensive experience in software development, IT engineering, and research assistance. His research focuses on AI-driven innovations in cardiology, finance, and healthcare. With numerous publications in high-impact journals, Oluwafemi actively contributes to international conferences, presenting groundbreaking insights. He is also a member of the Computer Information Systems Research and Technology Centre and has been nominated for prestigious research awards. β¨π
Professional Profile:
ORCID Profile
Suitability for Best Researcher Award π
Dr. Oluwafemi Ayotunde Oke is highly suitable for the Best Researcher Award due to his outstanding contributions to Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity. His research spans across multiple domains, including healthcare, finance, and smart cities, demonstrating the interdisciplinary impact of his work.
Education & Experience ππΌ
π Ph.D. in Computer Information Systems β Near East University (2024)
π M.Sc. in Software Engineering β Babcock University (2020)
π B.Sc. in Computer Engineering (Technology) β Babcock University (2016)
π¨βπ« Part-Time Lecturer β Near East University (2023-Present)
π¬ Research Assistant β Near East University (2022-Present)
π Assistant Director of IT & Communications β National Association of Nigerian Students (2022-2024)
π» IT Engineer β GIFA INC (2021)
π₯οΈ IT Developer β Yeni Bakis (2021)
π§ Design Engineer β Daxlinks Global (2021)
π Graduate Research Assistant β Computer Professionals of Nigeria (2020)
π§ Head of Audiovisuals β Taidob College (2018-2019)
Professional Development ππ
Oluwafemi Oke continuously hones his expertise through global certifications and specialized training in AI, cybersecurity, and IT. He holds IBM certifications in AI, Machine Learning, and Cybersecurity π
and has completed courses from Duke University and Yale University on Cybersecurity and Well-being. As a Huawei Certified Network Associate (HCIA), he has gained expertise in Big Data, Cloud Computing, and AI Security. His Android Developer and CompTIA certifications further strengthen his software engineering skills. Committed to academic growth, he actively engages in research memberships, workshops, and technology conferences, ensuring he stays ahead in the ever-evolving tech landscape. ππ‘
Research Focus π¬π
Oluwafemi Okeβs research is centered around Artificial Intelligence (AI) and its transformative impact on various fields. His work in Natural Language Processing (NLP), Electrocardiogram (ECG) image classification, and AI-driven financial services showcases the power of AI in improving healthcare, finance, and education. ππ§ He has conducted bibliometric studies on AI in financial services, examined AIβs role in cardiology, and explored machine learning in conversational systems. ππ His research also extends to AIβs role in smart cities, IoT-based water management, and climate change predictions. Through innovative AI solutions, he aims to revolutionize healthcare, security, and financial technologies. π€π°
Awards & Honors πποΈ
π
International Research Awards on Cybersecurity and Cryptography (Nominee, ID 1896)
π 2024 Best Ph.D. Thesis Award β Electronics Journal
π Member, Computer Information Systems Research and Technology Centre
π Multiple Research Publications in SSCI/SCI-Expanded Journals
π Presenter at Prestigious International Conferences
Publication Top Notes
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Building Tomorrow Green and Sustainable Imperatives in Smart City Development (2025) | Book Chapter
π Authors: Oluwafemi Ayotunde Oke, Nuriye Sancar, Nadire Cavus
π DOI: 10.1007/978-3-031-72479-4_38
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A Systematic Review on the Impact of Artificial Intelligence on Electrocardiograms in Cardiology (2025-03) | Journal Article
π Authors: Oluwafemi Ayotunde Oke, Nadire Cavus
π Journal: International Journal of Medical Informatics
π DOI: 10.1016/j.ijmedinf.2024.105753
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Artificial Intelligence for Computer Vision: Bibliometric Analysis (2024-03) | Preprint
π Authors: Oke O, Cavus N
π DOI: 10.21203/rs.3.rs-4098674/v1
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The Role of AI in Financial Services: A Bibliometric Analysis (2024-01-19) | Journal Article
π Authors: Oluwafemi Ayotunde Oke, Nadire Cavus
π Journal: Journal of Computer Information Systems
π DOI: 10.1080/08874417.2024.2304545
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The Impact of Artificial Intelligence in Foreign Language Learning Using Learning Management Systems: A Systematic Literature Review (2023-06-30) | Journal Article
π Authors: ΠΠΊΠ΅ ΠΠ»ΡΠ²Π°ΡΠ΅ΠΌΡ ΠΠΉΠΎΡΡΠ½Π΄Π΅, ΠΠ°ΡΡΠΈ ΠΡΠΌΡΠ»Ρ ΠΠΆΠ°ΠΌΡΠ»Ρ, ΠΠ°Π΄ΡΡ ΠΠ°Π²ΡΡ
π Journal: Information Technologies and Learning Tools
π DOI: 10.33407/itlt.v95i3.5233