Ojonugwa Ejiga Peter | Computer Vision | Best Researcher Award

Mr. Ojonugwa Ejiga Peter | Computer Vision | Best Researcher Award

Morgan State University, United States

Ojonugwa Oluwafemi Ejiga Peter is an emerging AI researcher specializing in computer vision and Generative AI. He is currently pursuing a Master’s degree in Advanced Computing at Morgan State University, Baltimore, where he also serves as a Research Assistant. His academic journey began at the Federal University of Technology, Minna, where he earned a Bachelor of Technology in Computer Science. Ejiga has contributed to cutting-edge research in AI-driven medical imaging and educational technology, supported by prestigious NSF grants. His work explores synthetic medical image generation, AI-based classification models, and ethical AI applications in healthcare and education.

Publication Profile

🎓 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

 

VINOD KUMAR VERMA | Computer Science | Best Researcher Award

Assist Prof Dr. VINOD KUMAR VERMA | Computer Science | Best Researcher Award

Assistant Professor, Sant Longowal Institute of Engineering and Technology, Longowal, India

👨‍🏫 Dr. Vinod Kumar Verma was born in Kalka, Haryana, India. He is an esteemed Assistant Professor in the Department of Computer Science and Engineering at SLIET-Deemed to be University. With international teaching and research experience, he has contributed significantly to various academic and research institutions worldwide, including the UK, USA, Japan, Italy, Australia, France, and Greece. Dr. Verma has collaborated with prestigious universities such as the University of Surrey, England, and the University of Nottingham, Malaysia. He has published extensively in renowned international journals, making notable contributions to the fields of wireless sensor networks, IoT, big data, cloud computing, and more.

Profile

Scopus

🎓 Education

BTech in Computer Engineering from Kurukshetra University, 2005. MS Degree from BITS Pilani, Pilani, 2008. PhD in Computer Science and Engineering from Sant Longowal Institute of Engineering and Technology (SLIET), Longowal, India

💼 Experience

Dr. Verma has held various academic positions and has been involved in numerous international collaborations. His teaching and research engagements have taken him to countries such as the UK, USA, Japan, Italy, Australia, France, and Greece. He has worked with the University of Surrey, England, and visited the University of West Attica, Athens, Greece under the ERASMUS+ program. Dr. Verma is currently an Assistant Professor at SLIET-Deemed to be University.

🔍 Research Interests

Dr. Verma’s research interests are diverse and cutting-edge, including wireless sensor networks, the internet of things (IoT), big data, cloud computing, trust and reputation systems, simulation, distributed computing, cryptography, and software systems. His work has been published in various top-tier international journals, showcasing his significant contributions to these fields.

🏆 Awards

Dr. Verma has been recognized for his outstanding contributions to the field of computer science. He received the Session’s Best Paper Award at IMETI-CITSA-2014 in Orlando and the Best Paper Award at NCCN-11 in Longowal in 2011. He has also served on numerous organizing and program committees for international conferences, highlighting his influence and leadership in the academic community.

📚 Publications

Cooperative-centrality enabled investigations on edge-based trustworthy framework for cloud focused internet of things