Mohamed Samir Abdelrahman Selim is an Independent Researcher specializing in AI Safety, Formal Verification, and Deterministic AI Governance. His work focuses on eliminating structural instability, concessive bias (sycophancy), and stochastic hallucination modes in Large Language Models (LLMs) through external, weight-agnostic control layers.
As the principal investigator behind the AXIOM-1 Sovereign Matrix (A1M), Governed Release Architecture for Controlled Excellence (GRACE), and Universal Stability Criterion (USG), his research bridges formal logic, complex systems stability, and outer alignment frameworks.
Research Specialties & Focus:
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Mohamed Samir Abdelrahman Selim is an Independent Researcher specializing in AI Safety, Formal Verification, and Deterministic AI Governance. His work focuses on eliminating structural instability, concessive bias (sycophancy), and stochastic hallucination modes in Large Language Models (LLMs) through external, weight-agnostic control layers.
As the principal investigator behind the AXIOM-1 Sovereign Matrix (A1M), Governed Release Architecture for Controlled Excellence (GRACE), and Universal Stability Criterion (USG), his research bridges formal logic, complex systems stability, and outer alignment frameworks.
Research Specialties & Focus:
• AI Governance & Alignment Architectures (A1M, GRACE)
• Sycophancy & Concessive Bias Mitigation in Stochastic Models
• Deterministic External Verification & Safety Bounds
• Structural Stability Criteria in Complex Symbolic Systems (USG)
