Antonios Sarigiannidis
Papers
2
Total Citations
27
H-Index
2
About
Antonios Sarigiannidis is at the forefront of applying artificial intelligence to industrial sustainability, with a primary focus on revolutionizing textile waste management. His key research areas include autonomous AI systems, computer vision for material sorting, and circular economy solutions for the fashion industry. Sarigiannidis’s major contribution is the development of an autonomous, AI-enabled industrial sorting pipeline for advanced textile recycling, a breakthrough that directly addresses the critical inefficiencies in traditional sorting methods. This work, published in 2024, has already garnered significant attention with 25 citations, marking it as a foundational piece in the field of AI-driven waste management. By integrating real-time machine learning with robotic sorting, his research offers a scalable, high-accuracy solution to mitigate the environmental impact of escalating textile waste. Sarigiannidis’s achievements lie in bridging the gap between cutting-edge artificial intelligence and practical, large-scale industrial applications, making him a key figure in the push toward a more sustainable and technologically advanced recycling infrastructure. His work is essential reading for researchers and students interested in the intersection of AI, automation, and environmental engineering.
Research Focus
Key Achievements
Top Papers
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- 2