RSIS International

Mr. Emmanuel Ogunwobi

Software Engineer

University of New Haven
Country
United States of America
Education
University of New Haven Jan. 2021 – May 2023 Masters in Computer Science West Haven, CT
Journal
International Journal of Research and Innovation in Social Science (IJRISS), International Journal of Research and Scientific Innovation (IJRSI), International Journal of Research and Innovation in Applied Science (IJRIAS), International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Biography
Emmanuel Ogunwobi – Technologist | Educator | Innovator | Engineer Emmanuel Ogunwobi is a versatile and forward-thinking technologist, educator, and full-stack engineer with a passion for using technology to solve real-world problems. With a career spanning software engineering, academic instruction, infrastructure design, and AI-driven solutions, Emmanuel has consistently demonstrated a unique ability to blend technical depth with human-centered design and impact. He has contributed extensively to the fields of cybersecurity, fintech, and educational technology. As an adjunct faculty member, Emmanuel has redefined the delivery of Java programming for undergraduate engineering students by implementing a project-based learning model. His innovative teaching approach, which integrates modern tools like Spring Boot, Hibernate, and GitHub, has significantly improved student engagement and real-world readiness. Professionally, Emmanuel has built scalable and secure cloud infrastructures using Infrastructure as Code (IaC) and led initiatives involving log aggregation, anomaly detection, and intelligent monitoring. He has successfully implemented private-to-private AWS links between third-party vendors and internal systems, expanded DevOps pipelines, and managed end-to-end delivery of secure enterprise applications. Emmanuel’s academic contributions include published research on big data, fraud detection, and cyber threat intelligence. He is passionate about continuous authentication, smart gait analysis, and applying AI in security-focused applications. His research and development work often bridges academic innovation with practical industry applications. A consistent advocate for practical education, Emmanuel has mentored students and junior developers, championed open-source contributions, and participated in several exhibitions to showcase his work. His multidisciplinary experience includes ERP systems, SMS gateways, logistics solutions, and AI-integrated web and mobile apps. Emmanuel holds a deep commitment to shaping the next generation of technologists while delivering scalable and impactful digital solutions across sectors.
Research Interests
Artificial Intelligence, Computer Science, Cybersecurity, Data Science, Information Technology, Machine Learning
Experience
8
Other Reviewer
Dr. Norazlan Hashim
Dr. Norazlan Hashim
Prof. Vinodkumar Kantilal Satyapal
Dr. Vinodkumar Kantilal Satyapal
Samuel B. Damayon
Mr. Samuel B. Damayon
Dr. Simeyo Otieo
Dr. Simeyo Otieo
Mr. Hussein Omeiza Aliu
Mr. Hussein Omeiza Aliu
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