معرفی
Stephen Ojo serves as Assistant Professor of Electrical and Computer Engineering at Anderson University's College of Engineering, where he integrates Christian values with technical education. A senior IEEE member and NIH R25 research mentor, he leads the MDPI special issue on AI for Network Management while directing over 60 publications in wireless and biomedical AI systems.
His educational foundation includes:
- BS in Electrical and Electronics Engineering, Federal University of Technology, Nigeria
- MS in Electrical and Electronics Engineering, Girne American University, Cyprus
- PhD in Information Systems, Girne American University, Cyprus
Dr. Ojo's research pioneers AI-driven medical diagnostics and 5G/6G network optimization, developing systems like LesionNet for skin cancer detection and HO-SsNF for cervical cancer classification. His work spans cardiac signal analysis, neurological disorder prediction, and UAV network modeling with emphasis on explainable AI and real-world implementation.
Recent publications reveal strong interdisciplinary trends merging deep learning with healthcare applications (65% of 2024 works), particularly in medical image analysis and physiological signal processing. Wireless networking research focuses on energy-efficient routing and adversarial attack defense in critical infrastructure.
His scientific recognition includes:
- Elevation to IEEE Senior Member grade
As NIH R25 mentor, Dr. Ojo guides biomedical research while developing active learning frameworks for student anxiety prediction and elderly activity monitoring. His teaching philosophy emphasizes hands-on problem solving with ethical engineering practice, reflected in AU's Christ-centered curriculum since his 2021 appointment.
His laboratory work focuses on wireless sensor networks and medical AI prototyping, with ongoing projects in Parkinson's detection via voice analysis and myocardial infarction prediction using multi-label classification systems.
