A complete catalog of physical digital twins, robotics kinematics platforms, and neural vision engines developed by Shah Mohammed Seaman.
A high-fidelity 3D digital twin simulating a 6-stage robotic manufacturing pipeline, 160-bay fleet docking, deterministic Runway 09/27 flight operations, and real-time PX4 telemetry.
Transforms raw MRI, fMRI, and DTI neuroimaging data into an interactive computational digital twin representing cortical surfaces, 3D white-matter tractography, and structural lesion simulations.
A desktop 3D Gaussian Splatting viewer supporting millions of Gaussians with an automated pre-flight CUDA diagnostic and graceful CPU depth-sorting fallback.
An underwater Remotely Operated Vehicle platform developed with UIU AURA Crew Robotics for submerged inspection, sensor telemetry, and multi-thruster vectoring control.
Transforms raw documents into structured JSON with bilingual neural OCR, region semantic classification, SLANet table extraction, and multi-column reading order reconstruction.
Multimodal signal encoding and cognitive state prediction using deep transformer backbones, digital signal filtering, and latent space representations.
A conversational language model system adapted for medical query synthesis, clinical triage guidance, and patient telemetry analysis.