About the Researcher
I am an Associate Professor in the Department of Ophthalmology, School of Medicine, Tohoku University, Japan. My research spans experimental physics, materials science, and medical artificial intelligence, with a strong emphasis on real-world deployment.
I began my research career in experimental condensed-matter physics and functional materials, working on magnetic materials, thin films, metallic glasses, and device-oriented characterization. This work involved extensive hands-on experimentation, measurement-driven analysis, and validation against physical constraints.
Over the years, this experimental background naturally evolved into data-driven and computational research, including first-principles modeling and large-scale experimental datasets. This transition laid the foundation for my current work in medical image analysis and artificial intelligence.
In recent years, my focus has been on lightweight and deployable AI systems for ophthalmology, particularly glaucoma screening, fundus image analysis, and OCT/OCTA-based biomarkers. A central principle of this work is that AI models must operate reliably under hardware, data, and resource constraints, rather than only in ideal laboratory conditions.
My research philosophy emphasizes:
- Physics- and measurement-aware model design
- Lightweight neural architectures with controlled complexity
- On-device and offline deployment
- Clinical relevance and real-world validation
This interdisciplinary background — spanning experimental physics, materials science, and medical AI — strongly influences the design principles behind Lightweight-AI.
Affiliation:
Department of Ophthalmology,
School of Medicine, Tohoku University, Sendai, Japan
Research Areas:
- Medical artificial intelligence and imaging
- Glaucoma screening and ophthalmic biomarkers
- Lightweight and on-device deep learning
- Experimental physics and functional materials
Publications & Impact:
Author of highly cited works in Nature Materials,
Physical Review Letters, npj Digital Medicine,
and related journals, spanning experimental physics,
materials science, and medical AI.