Alexander D. Jedson

Papers

Total Citations

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About

Alexander D. Jedson is a pioneering researcher in the field of automated disassembly and sustainable manufacturing, with a focused expertise in computer vision and neural network optimization for robotic systems. His most notable contribution, "Optimizing Automated Detection of Cross-Recessed Screws in Laptops Using a Neural Network" (2024), addresses a critical bottleneck in e-waste recycling: the reliable detection of small, reflective screw heads under varying conditions. By systematically testing a low-cost webcam and neural network parameters, Jedson demonstrated a practical, scalable method for enabling robotic disassembly of laptops, a key step toward circular electronics. Though early in its impact, this work has already garnered 4 citations, signaling its relevance to researchers in remanufacturing and AI-driven automation. Jedson’s research bridges the gap between theoretical machine learning and real-world industrial challenges, offering a cost-effective solution that could reduce landfill waste and improve resource recovery. His work is particularly notable for its emphasis on affordability and reproducibility, making advanced automation accessible to smaller recycling facilities. As a rising voice in sustainable engineering, Jedson continues to explore how intelligent systems can transform waste management, with future directions likely including multi-screw detection and adaptive robotic gripping.