RIIF Research

Published research from the RIIF ecosystem. Built by Paragon Biosignals.

Paragon Biosignals Haven Phone ParagonDAO
EngineeringSystem DesignHavenMental HealthNeuroscience

State-Aware Messaging: How Haven Restores Physiological Context to Digital Communication

Why getting no response in a group chat activates the same pain circuits as a physical blow, what physical-world safeguards prevent this in face-to-face interaction, and the specific system architecture Haven uses to restore those safeguards without censoring, blocking, or modifying any message.

Philip Phuong Tran — Univault Technologies LLC ·
ResearchGLEGenomicsArchitecture

One Encoder, Four Domains: How GLE Unifies Biosignal, Genomic, Atmospheric, and Neural AI

The General Learning Encoder (GLE) uses DCT-II frequency-domain encoding to create a universal representation layer across audio, DNA, EEG, and atmospheric data. This document maps the architecture to four deployed products and the patent portfolio protecting it.

Philip Phuong Tran — Paragon Biosignals ·
ResearchPrivacyHIPAAGDPR

Privacy by Destruction: How Haven Phone Protects Health Data Without Encryption

Empirical proof that Haven Phone's encoding pipeline irreversibly destroys identifying information while preserving diagnostic value. Three adversarial attacks failed. Zero speaker identification. Information-theoretic security resilient to quantum computing.

Philip Phuong Tran — Univault Technologies LLC ·
ResearchGLEClinical

Haven Phone: A Multimodal Biosignal Clinical Decision Support Tool for Frontline Health Workers

Architecture, benchmarking, and proposed evaluation framework. Respiratory pattern classification (macro F1 79.7%), voice distress detection (93.0%), and EEG signal regression — all from a shared DCT-II encoding front-end.

Philip Phuong Tran & Anh T. Do — Univault Technologies LLC · · ResearchGate