Chandra Wijaya
Papers
1
Total Citations
1
H-Index
1
About
Chandra Wijaya is a researcher at the forefront of integrating artificial intelligence with embedded systems for real-world safety applications. His work centers on edge AI, computer vision, and IoT sensor fusion, with a particular focus on developing low-latency detection systems for hazardous environments. Wijaya’s most-cited paper, “Edge AI Robot Technology Application with YOLOv8, MQTT and MQ-5 Sensors for Realtime Fire and Smoke Detection,” exemplifies his core contribution: combining state-of-the-art object detection algorithms with cost-effective gas sensors to create autonomous robotic platforms capable of identifying fires and smoke in real time. This work demonstrates a practical synergy between deep learning and edge computing, enabling rapid response without reliance on cloud infrastructure. While his citation count is still growing—reflecting the recent publication of his key work—the paper’s immediate relevance to industrial safety, smart buildings, and disaster response positions it as a foundational reference in the emerging field of edge AI robotics. Wijaya’s approach, which prioritizes deployability and real-time performance, marks him as a promising innovator whose research bridges the gap between advanced AI models and tangible, life-saving technology.
Research Focus
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Top Papers
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