🎓 Education
Ejiga Peter has built a strong academic foundation in computer science and advanced computing. He earned a Diploma (OND) in Computer Science from Kogi State Polytechnic, Lokoja (2014), followed by a B.Tech in Computer Science from the Federal University of Technology, Minna (2019). Currently, he is pursuing an MSc in Advanced Computing at Morgan State University, Baltimore, where he focuses on AI and computer vision applications.
💼 Experience
Ejiga Peter has gained significant research and academic experience throughout his career. Since September 2023, he has been working as a Research Assistant in Advanced Computing at Morgan State University. Previously, he served as a Graduate Assistant in Civil Engineering at the same university. His work includes contributing to NSF-funded projects, such as deep learning-based medical image captioning and experiment-centered pedagogy for STEM education. His expertise in AI and machine learning has allowed him to explore innovative solutions in healthcare and education.
🏆 Awards and Honors
Ejiga’s research excellence has been recognized through prestigious NSF grants, enabling him to work on high-impact projects in AI-driven medical imaging and STEM education. Additionally, he is a member of the American Society for Engineering Education (ASEE), further showcasing his commitment to academic and professional growth in engineering and computing.
🔬 Research Focus
Ejiga Peter’s research lies at the intersection of computer vision, Generative AI, and AI applications in healthcare and education. His work includes developing synthetic medical images for AI training, exploring AI-driven medical image classification and segmentation, and addressing ethical concerns in AI deployment. His involvement in AI-powered educational innovations aims to improve student learning through hands-on, experiment-centered pedagogy.
🔚 Conclusion
Ojonugwa Oluwafemi Ejiga Peter is a dedicated AI researcher pushing the boundaries of computer vision and Generative AI in healthcare and education. His academic achievements, research contributions, and prestigious NSF-funded projects position him as a rising star in artificial intelligence. Through innovative AI solutions, he aims to revolutionize medical imaging and STEM education, making a lasting impact on both fields. 🚀
📚 Publications
Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation (Algorithms, 2025) 🔗 DOI: 10.3390/a18030155
Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA (CEUR Workshop Proceedings, 2024) 🔗 Scopus EID: 2-s2.0-85201627982
Comparative Study of Digital Electronics Learning: Using PCB versus Traditional Methods in an Experiment-Centered Pedagogy (ECP) Approach for Engineering Students (ASEE Annual Conference Proceedings, 2024) 🔗 Scopus EID: 2-s2.0-85202046456