Become a sponsor to Bouarfa Mahi

I am a PhD researcher in Physics and Quantitative Modeling leading the development of the Structured Knowledge Accumulation (SKA) framework — a novel, entropy-based learning paradigm that reveals hidden informational regimes in complex time series data.

Active Research Areas

I am applying SKA across three cutting-edge domains:

Financial Time Series
Detecting early trend shifts, volatility regimes, and probabilistic trading signals beyond traditional indicators

Physiological Signals (ECG/HRV)
Using raw ECG to uncover subtle entropy transitions for stress monitoring, autonomic assessment, and real-time health diagnostics

Seismic Data Analysis
Capturing entropy anomalies for early regime shifts, precursor detection, and unsupervised seismic interpretation

With tools like QuestDB, Grafana, OpenAI agents, and BITalino ECG hardware, SKA is becoming a modular platform for autonomous entropy-based learning across domains.

Real-Time SKA Infrastructure

The SKA ecosystem is built around a modern real-time streaming architecture designed for scalable entropy-based analysis:

Signal Stream (ECG / Financial / Seismic)
                ↓
        SKA Engine API
                ↓
Entropy Computation & Regime Detection
                ↓
Binary Information Flow Extraction
                ↓
QuestDB Time-Series Storage
                ↓
Grafana Real-Time Visualization
                ↓
AI Agent Host (OpenAI / Claude)

The long-term objective is to deploy SKA Engine APIs as scalable cloud infrastructure capable of processing thousands of independent real-time streams across scientific and industrial applications.

This infrastructure is designed to support:

• Real-time entropy learning
• Unsupervised regime transition detection
• Binary information flow analysis
• Autonomous AI-assisted interpretation
• API-based integration with external devices and platforms

Why Sponsorship Matters

To continue this pioneering work, I am seeking sponsorship for:

• High-frequency data acquisition hardware (ECG, seismic, physiological sensors)
• Compute infrastructure for real-time SKA entropy learning and visualization
• AWS instances such as c6i.xlarge or c7i.xlarge
• API access (OpenAI, Claude Code) for agentic reasoning and pattern discovery on the AI Agent Farm
• Kubernetes and cloud infrastructure for scalable SKA Engine API deployment
• Publishing and collaboration support for validation in finance, medicine, and geoscience

If you're interested in supporting a foundational AI research effort with the potential to impact multiple scientific and industrial fields, I would be happy to provide a detailed technical roadmap and budget.

Thank you for your consideration.