PhD Researcher in Future Convergence Technology / Big Data Engineering
Soonchunhyang University, South Korea
I am a PhD researcher in the Department of Future Convergence Technology / Big Data Engineering at Soonchunhyang University, South Korea. My work focuses on AI for healthcare, especially medical image analysis, domain adaptation, multimodal report generation, and practical LLM/RAG systems.
My research goal is to build AI systems that remain useful outside a single controlled dataset. I focus on models that can generalize across hospitals, imaging devices, and patient populations, with long-term interest in practical healthcare tools for Tanzania and other low-resource settings.
| Area | Status | Focus |
|---|---|---|
| Domain Adaptation in Medical AI | 2026 - Present | Generalizing medical imaging and healthcare models across hospitals, clinical sites, imaging protocols, and patient populations. |
| Multimodal Report Generation for Blood Smear Analysis | 2026 - Present | Building systems that read microscopy blood-smear images and generate structured clinical reports using attention mechanisms and language models. |
| Area | Period | Focus |
|---|---|---|
| AI Systems with LLMs and RAG | 2026, completed | Retrieval-augmented systems that keep AI answers grounded in verified data, including Matokeo Yangu for Tanzanian academic guidance. |
| Blood Cell Classification & Domain Adaptation | 2021.09 - 2024, completed | White blood cell detection and classification across clinical settings using YOLO, Vision Transformers, augmentation, and domain adaptation methods. |
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Pancreas Segmentation Using a Two-Stage Pipeline of Faster R-CNN and TransUNet Applied Sciences, 2026. DOI
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WBC YOLO-ViT: 2-Way 2-Stage White Blood Cell Detection and Classification with a Combination of YOLOv5 and Vision Transformer Computers in Biology and Medicine, 2024. DOI
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Diffusion-based Wasserstein Generative Adversarial Network for Blood Cell Image Augmentation Engineering Applications of Artificial Intelligence, 2024. DOI
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Adapting YOLO-ViT for Differential Diagnosis of Myelodysplastic Syndromes and Normal Blood Cell Proceedings of the Korea Society of Computer and Information Conference, 2024.
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White Blood Cell Detection and Classification using YOLOv5 with Hybrid ResNet50-VGG16-SVM 6th International Conference on ICT for Smart Health & Home, 2022.
| Project | Status | Summary |
|---|---|---|
| Domain Adaptation in Medical AI | 2026 - Present | Transfer learning and domain adaptation methods for robust medical AI across clinical sites. |
| Medical Report Generator | 2026 - Present | Multimodal clinical report generation for blood-smear analysis and decision-support workflows. |
| Matokeo Yangu | 2026, completed | Bilingual platform helping Tanzanian students check exam results and receive AI-guided university and career advice. |
| WBC Detection & Classification | 2021.09 - 2024, completed | Automated white blood cell detection, counting, and classification using YOLO and Vision Transformers. |
Ph.D. Student, Future Convergence Technology / Big Data Engineering
Soonchunhyang University, South Korea | 2023.09 - Present
Advisor: Prof. Woo Ji-Young | Lab: Advanced Data Mining Lab (ADM Lab)
M.Sc. Big Data Engineering
Soonchunhyang University, South Korea | 2021.09 - 2023.08
Dissertation: WBC YOLO-ViT: 2-Way 2-Stage White Blood Cell Detection and Classification with a Combination of YOLOv5 and Vision Transformer
B.Sc. Computer Engineering & Information Technology
United African University of Tanzania | 2017.01 - 2020.08
Research Assistant
Advanced Data Mining Lab (ADM Lab), Soonchunhyang University | 2021.09 - Present
Developing medical AI systems for blood-cell image analysis, domain adaptation, multimodal report generation, and RAG-based clinical decision-support workflows with Prof. Woo Ji-Young.
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