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About

George Stamoulis is a researcher whose work sits at the intersection of robotics, education, and intelligent systems, with a focus on making technology both accessible and practically impactful. His most influential contribution, "The use of LEGO mindstorms in elementary schools" (34 citations), demonstrates a commitment to constructionist learning, showing how robotics can transform K-12 education by engaging students in hands-on, creative problem-solving. Stamoulis also advances agricultural technology, as seen in "Applying a Convolutional Neural Network in an IoT Robotic System for Plant Disease Diagnosis" (25 citations), where he integrates deep learning with IoT-enabled robotics to enable early, automated detection of crop diseases—a critical tool for improving food security. His work on autonomous systems includes designing robotic vehicles for area mapping and remote monitoring (17 citations), as well as intelligent control algorithms for stereoscopic cameras on robotic workspaces (4 citations). Across these projects, Stamoulis bridges theoretical AI and practical deployment, creating systems that are both innovative and deployable in real-world settings. His research is especially valuable for students and engineers interested in educational robotics, precision agriculture, and autonomous navigation.