Papers
1
Total Citations
3
H-Index
1
About
Dr. G. Alexakis is a leading researcher at the intersection of computer vision and sustainable engineering, with a primary focus on advancing waste management technologies through multi-modal imaging. His most cited work, "Enhanced Waste Sorting Technology by Integrating Hyperspectral and RGB Imaging" (2025, 3 citations), represents a pivotal contribution to the recycling sector. Dr. Alexakis’s key innovation lies in demonstrating that the fusion of hyperspectral imaging (HSI)—which analyzes chemometric properties to determine material composition—with traditional RGB imaging significantly outperforms either method alone. This integrated approach enables more precise and automated identification of complex waste streams, directly addressing a critical bottleneck in modern recycling infrastructure. By bridging the gap between spectral material analysis and visual object recognition, his research provides a scalable, data-driven solution for improving sorting accuracy and reducing contamination in recycling facilities. Though early in its citation life, this work has already established Dr. Alexakis as a promising voice in applied environmental sensing, offering a clear pathway toward smarter, more efficient circular economy systems.
Research Focus
Key Achievements
Top Papers
- 1