Analysis Formalism

Analysis formalism encompasses the development and application of mathematical frameworks to model and analyze complex systems. Current research focuses on diverse areas, including network traffic dynamics (using novel divergence metrics), the formal verification of intelligent machine behavior, and the robustness of large language models (through risk-adjusted confidence scores). These formalisms are crucial for improving the understanding and design of various systems, ranging from computer networks and AI to biological processes and linguistic structures, ultimately leading to more efficient, reliable, and robust technologies and scientific insights.