Yuji Wakasa

Papers

Total Citations

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About

Yuji Wakasa’s research bridges computer vision, optimization theory, and medical robotics, with a focus on real-time, non-convex problem-solving in constrained environments. His most cited work, “High Speed Genetic Lips Detection by Dynamic Search Domain Control” (2007, 6 citations), pioneered a genetic algorithm and template-matching approach for size- and orientation-invariant lip detection in active scenes—a critical step for human-computer interaction and speech recognition. In optimization, his 2015 paper on “Distributed Particle Swarm Optimization Based on Primal-Dual Decomposition Architectures” (3 citations) addressed the practical challenge of non-convexity in distributed systems, offering a novel framework for applications like smart grids and multi-robot coordination. Notably, his 2006 work on a “Needle-Insertion Robot for MRI-Guided Stereotactic Surgery” (3 citations) demonstrated a robotic system for precise electrode implantation in Parkinson’s disease treatment, navigating the stringent constraints of MRI environments. Though his citation counts are modest, Wakasa’s contributions are distinguished by their interdisciplinary reach—from real-time visual tracking to non-smooth distributed optimization and surgical robotics—showcasing a career dedicated to solving complex, real-world problems at the intersection of algorithms and hardware.