Dr ABIMBOLA BASIRU OWOLABI
Director, ICT
ab.owolabi@kingsuniversity.edu.ng
+2348064655585
ICT
Academic Information
ICT
PhD
Non-Academics
Specialization & Research
Cybersecurity, Machine Learning, Quantum Computing, Networking and Cloud Computing
Professional Biography
Dr. Abimbola B. Owolabi is a distinguished Chartered Information and Communication Technology (ICT) Professional, accomplished academic, and dedicated researcher with extensive expertise in Computer Science and emerging digital technologies. Holding a Doctor of Philosophy (Ph.D.) in Computer Science, Dr. Owolabi has built a strong reputation through excellence in teaching, research, innovation, and professional practice.
His academic and research interests span several cutting-edge areas, including Machine Learning, Deep Learning, Cybersecurity, Human-Computer Interaction (HCI), and Computer Networks. Through interdisciplinary research and practical applications, he is committed to developing intelligent computing solutions that address contemporary challenges in healthcare, information security, and network resilience.
As an active researcher, Dr. Owolabi has published more than twelve scholarly articles in reputable peer-reviewed journals and has participated in numerous national and international conferences, where he has presented research findings and engaged with global experts in computing and information technology. His contributions reflect a commitment to advancing scientific knowledge and promoting innovative technological solutions.
Dr. Owolabi’s current research portfolio focuses on the application of artificial intelligence and advanced analytics to solve complex real-world problems. His ongoing projects include:
• Developing a Machine Learning Algorithm for Analyzing ECG Signals to Diagnose Cardiovascular Disease, which explores intelligent diagnostic systems capable of improving early detection and clinical decision-making through automated analysis of electrocardiogram data.
• Real-Time Network Intrusion Detection Using Convolutional Neural Networks and Behavioral Analytics, aimed at enhancing cybersecurity by leveraging deep learning and behavioral analysis techniques to identify and mitigate sophisticated network attacks in real time.
• Machine Learning for Post-Quantum Cryptography Attacks and Defense, a forward-looking research initiative investigating the role of machine learning in strengthening cryptographic systems against emerging threats posed by quantum computing while developing intelligent defense mechanisms.
• An Adaptive Deep Learning Approach for Detecting Zero-Day Cyber Attacks, which seeks to design robust and adaptive models capable of identifying previously unseen cyber threats through advanced deep learning architectures and anomaly detection techniques.
With a strong foundation in both theoretical and applied computing, Dr. Owolabi combines academic scholarship with practical expertise to contribute to technological innovation, cybersecurity resilience, and intelligent system development. His work demonstrates a passion for leveraging artificial intelligence and data-driven methodologies to solve critical challenges across healthcare, digital security, and next-generation computing.
Beyond research, Dr. Owolabi is committed to mentoring students, fostering collaborative research, and promoting excellence in higher education. His dedication to continuous learning, professional development, and technological advancement positions him as a valuable contributor to academia, industry partnerships, and the global research community.
Driven by a vision of using intelligent technologies to improve society, Dr. Abimbola B. Owolabi continues to pursue impactful research that bridges the gap between academic discovery and practical implementation while contributing to the advancement of Computer Science and Information Technology on both national and international stages.
His academic and research interests span several cutting-edge areas, including Machine Learning, Deep Learning, Cybersecurity, Human-Computer Interaction (HCI), and Computer Networks. Through interdisciplinary research and practical applications, he is committed to developing intelligent computing solutions that address contemporary challenges in healthcare, information security, and network resilience.
As an active researcher, Dr. Owolabi has published more than twelve scholarly articles in reputable peer-reviewed journals and has participated in numerous national and international conferences, where he has presented research findings and engaged with global experts in computing and information technology. His contributions reflect a commitment to advancing scientific knowledge and promoting innovative technological solutions.
Dr. Owolabi’s current research portfolio focuses on the application of artificial intelligence and advanced analytics to solve complex real-world problems. His ongoing projects include:
• Developing a Machine Learning Algorithm for Analyzing ECG Signals to Diagnose Cardiovascular Disease, which explores intelligent diagnostic systems capable of improving early detection and clinical decision-making through automated analysis of electrocardiogram data.
• Real-Time Network Intrusion Detection Using Convolutional Neural Networks and Behavioral Analytics, aimed at enhancing cybersecurity by leveraging deep learning and behavioral analysis techniques to identify and mitigate sophisticated network attacks in real time.
• Machine Learning for Post-Quantum Cryptography Attacks and Defense, a forward-looking research initiative investigating the role of machine learning in strengthening cryptographic systems against emerging threats posed by quantum computing while developing intelligent defense mechanisms.
• An Adaptive Deep Learning Approach for Detecting Zero-Day Cyber Attacks, which seeks to design robust and adaptive models capable of identifying previously unseen cyber threats through advanced deep learning architectures and anomaly detection techniques.
With a strong foundation in both theoretical and applied computing, Dr. Owolabi combines academic scholarship with practical expertise to contribute to technological innovation, cybersecurity resilience, and intelligent system development. His work demonstrates a passion for leveraging artificial intelligence and data-driven methodologies to solve critical challenges across healthcare, digital security, and next-generation computing.
Beyond research, Dr. Owolabi is committed to mentoring students, fostering collaborative research, and promoting excellence in higher education. His dedication to continuous learning, professional development, and technological advancement positions him as a valuable contributor to academia, industry partnerships, and the global research community.
Driven by a vision of using intelligent technologies to improve society, Dr. Abimbola B. Owolabi continues to pursue impactful research that bridges the gap between academic discovery and practical implementation while contributing to the advancement of Computer Science and Information Technology on both national and international stages.