Graduate Researcher, Morgan State University, United States ✨
Ejiga-Peter Ojonugwa Oluwafemi is a passionate AI/ML researcher based in Maryland, USA, with expertise in machine learning, computer vision, and cloud computing. With over three years of experience in web development and AI-driven solutions, he has developed applications leveraging Python, HTML, CSS, JavaScript, and SQL. His work integrates artificial intelligence with real-world applications, emphasizing user-focused design and innovation. He has contributed to several research projects, particularly in medical imaging and data analytics, and has actively engaged in mentoring and teaching, fostering a new generation of tech enthusiasts.
Profile
Google Scholar
Education 🎓
Ejiga-Peter holds a Bachelor of Technology in Computer Science from the Federal University of Technology, Minna, Nigeria, where he specialized in machine learning and blockchain. He furthered his studies at Morgan State University, USA, as a graduate student in Advanced Computing, focusing on machine learning, secure cloud computing, and big data analytics with Apache Spark. Prior to this, he obtained a National Diploma (OND) in Computer Science from Kogi State Polytechnic, Nigeria, where he gained foundational knowledge in Visual Basic.NET, compiler construction, and statistical computing.
Experience 💼
With a strong research background, Ejiga-Peter has served as a Research Assistant at Morgan State University, contributing to climate research and computer vision labs. He developed Python-based data analytics curricula, implemented machine learning models for air quality studies, and worked on AI-driven medical imaging research. His industry experience includes roles as a Cloud Engineer at Cloud Evo LLC, where he designed secure AWS infrastructures, and a Software Engineer at Archaeotech Solutions Ltd, leading development projects in PHP, MySQL, and JavaScript. Additionally, he worked as a Graduate Assistant at Morgan State University, teaching digital electronics and experiment-centered pedagogy.
Research Interests 🔬
Ejiga-Peter’s research spans artificial intelligence, machine learning, computer vision, cloud computing, and data analytics. His work includes AI-powered medical image synthesis, digital electronics learning, and secure cloud computing. He has actively contributed to medical image analysis, text-to-image AI models, and blockchain security applications. His passion for AI extends to climate research, where he applies machine learning techniques to air quality prediction and environmental studies.
Awards & Recognitions 🏆
Ejiga-Peter has been recognized for his contributions to research and leadership. He was awarded the Graduate Leadership and Management Professional (GLMP) certification in 2021 and holds multiple technical certifications, including Huawei Certified Network Administrator (HCNA) and Udacity Machine Learning Certification. His work has been presented at international conferences, including CLEF (Grenoble, France) and ASEE (Portland, Oregon).
Publications 📚
Comparative Study of Digital Electronics Learning: Using PCB versus Traditional Methods in an Experiment-Centered Pedagogy (ECP) Approach for Engineering Students – ASEE Conference 2024
Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA – CLEF Conference 2024
Transformation of Medical Image Synthesis: Colonoscopy Image Generation and its Impact on the Quality, Complexity, and Computational Efficiency of Medical Image Classification – Under Review (2024)
Conclusion
EJIGA-PETER, OJONUGWA OLUWAFEMI is a strong candidate for the Best Researcher Award due to his exceptional contributions to AI/ML, medical imaging, cloud computing, and education. His technical expertise, impactful research, and dedication to mentorship make him highly suitable. Expanding journal publications, research collaborations, and industry engagements could further elevate his research impact.