Physicist and Researcher specializing in AI-driven safety systems, forensic biomechanics, and kinematic modelling. Based in Hyogo, Japan. BSc Physics — Yale · MSc Astrophysics — Caltech · PhD — University of Hertfordshire
My work is unified by the study of high-fidelity signal reconstruction. I apply the mathematical rigor of galactic archaeology—specifically phase-space analysis and spectral synthesis—to solve complex challenges in terrestrial safety and satellite intelligence.
My research transition from the galactic scale to urban safety is informed by the Kinematic Safety Framework (KSF). This framework treats human falls as a kinematic deconvolution in phase-space
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Formation and Evolution of Galaxies: Starlight Synthesis Algorithm | Journal: IJAA | doi: 10.4236/ijaa.2022.121005
Utilizes the Calcium Triplet (CaT) spectral region ($\lambda \approx 8500\text{Å}$ ) and Gauss-Hermite expansions to measure stellar velocity dispersion ($\sigma$ ) in galactic nuclei. -
Galactic Archaeology: A Chemo-Kinematic Review | Venue: SSRN / ResearchGate An analysis of the Milky Way’s hierarchical assembly applying the mathematical principles of phase-space density to interpret stellar absorption line profiles and Gaia DR3 astrometry.
The Advanced Falling Object Detection System (AFODS) represents the practical application of kinematic modeling to prevent fatalities involving recumbent (prone/supine) pedestrians.
- Patent Portfolio: Patent application (JP 2025-167440), primary inventor.
- Core Methodology: Fusing LWIR Thermal, NIR Stereo, and Ultrasonic sensors to address the classification gap in current ADAS.
- Safety Standards: Alignment with ISO 26262 / SOTIF, targeting ASIL C–D safety goals.
- Advanced Multi-Modal Sensor Fusion for Detecting Falling Humans | MDPI Vehicles (2025) | doi: 10.3390/vehicles7040149
- Enhancing Audio Classification Through MFCC Feature Extraction | IJACSA (2024) | Link
- The Invisible Victims of the Road: Why ADAS fails recumbent pedestrians | Preprint 0850.v1
- Latency-Constrained UAV Operations over SATCOM: Stochastic Jitter Modelling | Preprint 1322.v1
- Risk-Aware AI Architecture for BVLOS Safety | Preprint 0858.v1
- Sudden Incapacitation at the Wheel: Clinical HARA for AFODS | SSRN Profile
- Visiting Professor, Shiga University of Medical Science (SUMS) — Dept. of Legal Medicine
- Visiting Professor, Kobe Gakuin University — Dept. of Social Studies of Disaster Management
- Visiting Professor, University of Science and Technology, Chittagong
- Chairman & CEO, AN Holdings Co. — North Asia Tech-Investment
- Director, New Space Intelligence (NSI) — Geospatial AI & Satellite Pipelines
| Repository | Focus |
|---|---|
| starlight-synthesis | Spectral synthesis and velocity dispersion modelling. |
| Estimator-Collapse-Theory | Formal framework for ECT and SMK validation (2026). |
| AFODS-Framework | ISO 26262-aligned recumbent pedestrian detection. |
| Platform | ID / Link |
|---|---|
| 🟢 ORCID | 0000-0003-4641-0112 |
| 🗾 researchmap Japan | Nick-Barua Profile |
| 🏢 MEXT Researcher No. | 80970491 |
| 📄 Scopus Author ID | 59245027800 |
| 🎓 Google Scholar | Nick Barua Profile |
| 🏢 J-GLOBAL ID | 202201012730383494 |
Research Clusters: Galactic Archaeology • Forensic Biomechanics • AI Safety • Satellite Intelligence