Jeremias A. Gonzaga

Papers

Total Citations

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About

Jeremias A. Gonzaga is a researcher specializing in computer vision, embedded systems, and swarm robotics, with a focus on practical, real-world implementations. His work bridges the gap between advanced algorithms and resource-constrained hardware, as demonstrated in his highly cited 2024 paper on the "Implementation of Single Shot Multibox Detector (SSD) Algorithm for Object Detection." This study innovatively deploys the SSD algorithm on a Raspberry Pi 4 using Python and OpenCV, enabling efficient real-time object detection on low-power devices—a critical contribution for edge computing and IoT applications. In the domain of swarm robotics, Gonzaga’s 2021 paper on "Swarm Collision Avoidance using Moving Particle Semi-Implicit Method" tackles the fundamental challenge of safe navigation in multi-robot systems. By adapting a fluid dynamics-inspired approach, he provides a novel solution for collision-free coordination, advancing the reliability of swarm deployments in fields like search-and-rescue and environmental monitoring. With each of his top papers earning 4 citations, Gonzaga’s work is gaining recognition for its blend of theoretical rigor and hands-on engineering, making him a rising voice in accessible, efficient robotics and AI systems.