Solomon .O. Alile
School of Science and Technology (SST).
Faculty’s Field of Research: Cybersecurity, Computer Hardware, Networking, Routing and Switching
School: School of Science and Technology (SST)
Faculty’s email address: salile@pau.edu.ng
Background: Solomon Alile is a Lecturer in the Department of Computer and Information Sciences at Pan-Atlantic University, Ibeju-Lekki, Lagos with expertise in Cybersecurity, Computer Networking, Machine Learning, and healthcare technology. He is also a peer-reviewer to several renowned international Computer Science journals and a recipient of several awards. He has published numerous papers on AI-powered disease diagnosis, IoT based Patient Health Monitoring, and Cybersecurity. He has attended several international conferences where he presented research papers on AI application in Health Diagnosis; a Computer Hardware Engineer, and a Cisco Certified Network Associate Routing and Switching (CCNA R&S). Furthermore, his work focuses on developing innovative solutions to improve human health, cybersecurity, and Computer Networking
Research interest: Harmonizing the application of artificial intelligence in health and cybersecurity
Teaching: Faculty leads courses in: Computer Hardware and Networking; Data Communication Systems and Networking
Qualifications
PhD in View (University of Benin)
MSc in Computer Science (University of Benin)
BSc in Computer Science (Lagos State University)
Diploma in Data Processing (University of Benin)
Memberships, editorial boards
Cisco Certified Network Associate Routing &Switching (CCNA R&S)
Editorial Review Board Member, ACTA Scientific Computer Sciences (AS).
Reviewer, Asian Journal of Research in Computer Science (AJRCOS)
Corporate Member, Nigerian Institution of Professional Engineers and Scientists (NIPES).
Honorary Rosalind Member, London Journals Press (UK).
Member, International Association of Engineers (IAENG).
2024 Travel Grant: 8th World One Health Congress, Cape Town, South Africa
Selected Publications
Oluwaseun Oluwatosin Taofeek , Solomon Osarumwense Alile, Elcanah Mauta Evans , Louis Odinakaose Ezediuno , Ifeoluwa Adeniyi George , Olawale Moses Oyewole , Peter Ngo’la Owiti , Lateef Adegboyega Sulaimon (2025). Multilevel systems biology analysis identifies key immune response profiles and potential correlates of protection for M72/AS01E vaccine against tuberculosis. Clin Exp Vaccine Res. 2025 Jul;14(3):210-228, https://doi.org/10.7774/cevr.2025.14.e2, pISSN 2287-3651·eISSN 2287-366X
Solomon Osarumwense Alile (2022): A Probabilistic Supervised Machine Learning Approach for Diagnosing Lassa Fever and Viral Hemorrhagic Fever Types Reliant on Observed Signs”. Asian-Pacific Journal of Science and Technology, Volume 27(04), Article ID: APST-27-04-12, pp: 1-16, May 2022. DOI: https://doi.org/10.14456/apst.2022.65
LINK TO PUBLICATIONS: Solomon Alile – Google Scholar
