[Title: Ph.D. in AI Convergence Engineering | Specialist in Deciphering the AI Paradox]

■ Professional Overview As a Ph.D. in AI Convergence Engineering, I specialize in deconstructing the 'AI Paradox'—the critical gap between rapid technological innovation and stagnant systemic productivity. By synthesizing Robotics, IoT, Medical AI, and Digital Twins, I go beyond technical silos to identify structural bottlenecks where technological progress fails to generate social value, re-engineering these systems for optimal efficiency.

■ Research & Methodological Innovation I establish a pioneering frontier in AI Social Science by applying rigorous engineering system diagnostics to complex socio-technical structures. Through a proprietary analytical architecture—integrating structural causality with non-linear modeling—I identify critical leverage points within paradoxical systems, providing empirical evidence for systemic deadlocks and proposing optimized engineering pathways to resolve them.

■ Core Technical Expertise

• Intelligent Systems & Medical Vision: Engineering high-precision recognition algorithms and autonomous agents tailored for clinical and industrial domains.

• Digital Twin & System Simulation: Constructing synchronized digital replicas to simulate the dynamical mechanisms of the AI Paradox and evaluate system reliability.

• Engineering System Analysis & Optimization: Designing decision architectures by combining critical factor identification within complex systems with original hybrid algorithms to maximize systemic synergy.