Prof. Essam Rashed
Principal Investigator
AI • Medical Imaging • Multimodal Systems
Building trustworthy AI for medical imaging and clinical decision support.
We develop segmentation, detection, report-generation, and agentic AI systems that integrate imaging, clinical text, and external knowledge - emphasizing robustness, uncertainty, explainability, and real-world deployment.
Agentic AI
Multimodal LLM/VLM
Medical Image Segmentation
Federated Learning
Uncertainty & Safety
Regulatory-ready Evaluation
入学生募集
兵庫県立大学大学院 情報科学研究科の2027年度入学生募集について案内するものです。研究科は、先端IT人材の育成を目的としており、文系・理系を問わず、すべての学部および高専専攻科からの進学が可能です。また、社会人向けの特別履修制度も用意されています。兵庫県内在住の学生は、授業料等無償化制度の対象となる場合があります。健康医療科学コースに興味のある学生を歓迎します。
入試説明会: 6月6日（オンライン参加可、教員との個別面談可能）
博士前期課程（修士）: 出願期間 6月8～19日（推薦）& 8月31日～9月11日（一般）
博士後期課程（博士）: 出願期間 8月3～14日
OPEN CAMPUS＋一般入試説明会: 8月27日（学生と話し合うことができます）
Research Areas
Segmentation & Detection
nnU-Net style pipelines, foundation-model adaptation, and clinically meaningful evaluation protocols.
Trustworthy Uncertainty & Safety
Calibration, abstention, and uncertainty-aware decision support for high-stakes deployment.
Regulatory-Ready Evaluation
Quality management, documentation, and reproducible benchmarks aligned with clinical practice.
Explainable Federated AI
Cross-institution learning with domain shift handling, robust aggregation, and governance-aware workflows.
Agentic AI Systems
Multi-agent orchestration for iterative analysis, conflict resolution, and transparent synthesis.
Multimodal LLM/VLM
Radiology report generation, VQA, and structured reasoning over images + text with retrieval.
People
Prof. Ghada Khoriba
Visiting Professor (Nile University)
Prof. Mohamed Mabrok
Visiting Professor (Qatar University)
Ahmed Elboardy
PhD Student (D2)
Yiming Jia
PhD Student (D1)
Mina Yousef
PhD Student (D1)
Makoto Kanehira
MSc Student (M2)
Joining soon...
Research Student
Selected Publications
📝 REVIEW: Advances in Medical Image Segmentation: A Comprehensive Review with a Focus on Lumbar Spine Applications (2025)
Selected Awards
🏆 MEXT Science and Technology Award (Development Category)
🏆 Best Poster Award
Join the Lab
We’re looking for
- We are seeking highly motivated and intellectually curious students with a strong foundation in mathematics, programming (e.g., Python), and machine learning, who are passionate about advancing AI-driven medical imaging research and are eager to engage in rigorous, collaborative, and publication-oriented research within an international environment.
How to apply
- Email your CV + short research statement
- Include links to papers / code (if available)
- Write 2–3 topics you want to work on
Tip: If you’re applying for scholarships (JSPS/MEXT/etc.), mention the program and deadline.
Contact
Lab Information
Affiliation: Graduate School of Information Science, University of Hyogo
Address: 7-1-28 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan
Room: Lab. number 601 (6th floor)