Xaverius Najoan

Papers

Total Citations

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About

Xaverius Najoan is a leading researcher in the intersection of computer vision, deep learning, and marine conservation. His most-cited work, "Streamlining Deep Learning Network for Real-time Sea Turtle Detection" (2024), addresses a critical challenge in ecological monitoring: enabling autonomous systems to detect endangered sea turtles in real time. By optimizing neural network architectures for deployment on resource-constrained robotics platforms, Najoan’s research bridges the gap between high-accuracy detection and operational speed—a vital step for automated conservation patrols. His contributions have already garnered 4 citations in under a year, signaling strong early impact in the field. Beyond this flagship paper, Najoan’s work focuses on lightweight deep learning models that maintain performance while reducing computational overhead, making them suitable for edge devices in remote habitats. His achievements include pioneering a streamlined network that balances detection precision with the low-latency demands of real-world robotics, directly aiding efforts to preserve marine ecosystems. For students and researchers, Najoan exemplifies how applied AI can serve environmental sustainability, offering a blueprint for developing efficient, purpose-driven models that operate where they are needed most—in the field.