Danilo Greco

Politecnico di Milano, Parthenope University of Naples

Papers

Total Citations

H-Index

About

Danilo Greco is an emerging researcher at the intersection of artificial intelligence, computer vision, and sustainable engineering. His work primarily focuses on developing intelligent systems for electronic waste recycling and human-computer interaction. Greco’s most notable contribution is a deep learning-powered computer vision system for selective disassembly of waste printed circuit boards, addressing the critical challenge of recovering valuable materials from e-waste—a field directly aligned with European Union directives on circular resource utilization. This work has already garnered significant attention with 9 citations. In parallel, Greco explores multimodal emotion recognition from voice and video signals, demonstrating the potential of AI in mental health assessments by simultaneously analyzing facial expressions and vocal cues. His practical engineering skills are evident in a study deploying computer vision algorithms on a Raspberry Pi 4 for automated depalletizing, showcasing cost-effective solutions for industrial robotics. With a total of 22 citations across his most-cited papers, Greco is establishing himself as a versatile innovator whose research bridges cutting-edge AI with real-world applications in sustainability and healthcare.