Developing methodologies for constructing material property models by combining experimental big data with machine learning. Contributing to the promotion and strengthening of materials informatics research at Tohoku University.

• Experimental data-driven machine learning model development
• Enhanced accuracy in material property prediction
• Development of practical educational content
• Promotion of industry-academia collaborations

Development of cost-effective, high-precision experimental environment logging systems using IoT devices to ensure experimental reproducibility. Achieving fully automated environmental monitoring for approximately 10,000 yen per unit.

• Automatic measurement of temperature, humidity, pressure, CO2, and organic compound concentrations
• High-precision monitoring at low cost
• Cloud-based data management
• Anomaly detection and alert functions

Designing and developing comprehensive research digitalization (DX) systems that integrate digital lab notebooks, IoT environmental monitoring, and experimental automation technologies to support new laboratory establishment.

• Digital laboratory notebook system implementation
• Integration of IoT experimental environment logging
• Centralized digital management of research data
• Direct utilization for machine learning model development

Constructing research characteristic models for Tohoku University using natural language processing technologies and research funding databases. Developing collaborative researcher matching and research funding proposal optimization systems.

• Quantitative modeling of university research characteristics
• Enhanced precision in researcher matching
• Research funding application optimization support
• Collaborative system construction with university administration

Co-founded a venture company "ITAKU-NAVI" with Tokyo Institute of Technology alumni to promote research facility sharing. Responsible for concept design and web design support, accumulating insights into technology transfer processes.

• Promoting efficient utilization of research equipment
• Venture creation and management expertise
• Practical experience in technology transfer processes
• Construction of new industry-academia collaboration models

Independently developed an ultimate video camera (TRMOI) with 10 picosecond temporal resolution and 1 micrometer spatial resolution. Based on this technology, established the Spin Wave Tomography (SWaT) method to reconstruct dispersion relations of magnetic excitation propagation processes from experimental data.

• Achieved world-class spatiotemporal resolution
• All-optical reconstruction of spin wave dispersion relations
• Innovation in magneto-optical imaging technology
• Elucidation of anomalous phenomena in spin Seebeck effects

Conceived and demonstrated an innovative magnetic spectroscopy method using high-repetition-rate ultrashort pulse semiconductor lasers and repetitive synchronization phenomena of magneto-optical excitation processes, significantly simplifying conventional complex measurement systems.

• Achieved significant simplification of measurement systems
• Principle verification through simulation
• Applications to spintronic device evaluation
• Design oriented toward industrial practical implementation