Physicist · C-Suite Executive · Researcher | Based in Hyogo, Japan 🇯🇵 BSc Physics — Yale University · MSc Astrophysics — Caltech · PhD — University of Hertfordshire

I am a physicist and C-suite executive specializing in the convergence of Space Intelligence, Automotive Safety, and Global Investment Strategy. My research utilizes advanced AI architectures—specifically YOLOv7 and RNNs—to solve complex safety and geospatial challenges.

• Visiting Professor, Shiga University of Medical Science (SUMS) — Department of Legal Medicine, since 2022
• Visiting Professor, Kobe Gakuin University — Department of Social Studies of Disaster Management, since 2022
• Visiting Professor, University of Science and Technology, Chittagong — Since 2022

• Chairman & CEO, AN Holdings Co. — Strategic management and tech-investment across North Asia
• Director, New Space Intelligence (NSI) — Satellite data pipeline services and geospatial AI analytics
• Executive Chairman, Hucha Co., Ltd — Sales and management consulting

My primary research addresses the "classification gap" for road users in non-upright postures—those fallen due to medical emergencies, intoxication, or primary collisions. By bridging Forensic Pathology with Functional Safety, we move from analyzing fatalities to proactive harm prevention.

• Multi-Modal Redundancy: Fuses LWIR Thermal (biological signatures of 36.5–37.5°C), NIR Stereo, and Ultrasonic sensors for all-weather detection reliability.
• Safety Compliance: Maps fallen-pedestrian hazards to ASIL C-D safety goals under ISO 26262 (Severity S3 / Exposure E3 / Controllability C0).
• Architecture: Utilizes YOLOv7-Tiny for spatial detection (mAP@0.5: 91.3%) and RNN/Kalman filters for predictive kinematics — generating alerts 0.3–0.8s before ground contact.
• Explainable AI (XAI): Integrated SHAP values provide a forensic audit trail admissible in legal and post-incident reconstruction proceedings.
• Acoustic Verification: MFCC-based classification distinguishes fall acoustic signatures from road noise, reducing false positives.

📄 Sources: MDPI Vehicles 2025

My research portfolio is unified by High-Fidelity Signal Reconstruction and Dynamic Risk Assessment. I specialize in extracting actionable truth from high-entropy environments—from the galactic scale to urban safety.

This flagship framework transposes the mathematical rigor of Galactic Archaeology into a proactive engine for terrestrial and aerial safety.

• [cite_start]Logic: Utilizes Phase-Space Analysis $(x, v)$ to detect human falls as a kinematic deconvolution[cite: 13, 15, 47, 49].
• [cite_start]Performance: Achieves a 98.2% True Positive Rate (TPR) in high-entropy environments[cite: 18, 53].
• [cite_start]Prediction: Generates alerts 0.3s–0.8s before ground contact occurs[cite: 16, 50].
• [cite_start]Risk Model: Proprietary RASA model: $R(t) = \alpha \cdot U_s(t) + \beta \cdot L_c(t)$.

• Formation and Evolution of Galaxies: Starlight Synthesis Algorithm | Lead Author | IJAA · DOI: 10.4236/ijaa.2022.121005
• Unveiling Galactic Assembly: Chemo-Kinematic Insights from Stellar Absorptions | Lead Author | SSRN
• Galactic Paleontology: Reconstructing Accretion Events with Chemo-Dynamical Signatures | Lead Author | SSRN
• Galactic Archaeology: A Chemo-Kinematic Review of the Milky Way's Hierarchical Assembly | Lead Author | SSRN

• Global Homeland Security Satellite Imagery Market: Strategic Outlook and Growth Trajectories | Lead Author | SSRN
• SATCOM, The Future UAV Communication Link | Lead Author | SSRN

🔗 This body of work forms a unified 4-paper research program on AI-driven road safety:

• Mechanisms, Modelling, and Machine Learning-Based Prediction of Lithium-Ion Battery Degradation in EVs | Lead Author | SSRN
• Enhancing Audio Classification Through MFCC Feature Extraction and Data Augmentation with CNN and RNN Models | Co-Author | SAI

• Digital Transformation (DX) Impact of Telemedicine on Healthcare Services Around the World and Japan | Lead Author | ResearchGate

"Advancing humanity through the convergence of space-intelligence and terrestrial safety."