Marcelo Pias

University of Cambridge, Universidade Federal do Rio Grande

Papers

Total Citations

969

H-Index

About

Marcelo Pias is a leading researcher at the intersection of wearable sensing, underwater robotics, and aquaculture technology. His most impactful contribution is the co-authorship of a seminal 2013 paper on separating movement and gravity components in acceleration signals, which has accumulated 946 citations and become a foundational method for assessing human daily physical activity in epidemiological studies. This work enables more accurate measurement of energy expenditure and movement patterns using wearable devices. Beyond human health, Pias has advanced underwater perception systems, developing triplet-based acoustic image retrieval for place recognition in unknown environments—a critical capability for Remotely Operated Vehicles (ROVs) navigating turbid waters. His 2018 paper on this topic (21 citations) enhances autonomous navigation in challenging subsea conditions. More recently, he has applied robotic behavior actuation to shrimp farming, aiming to improve monitoring and control in Brazilian aquaculture systems (2021, 2 citations). Pias’s work bridges biomechanics, marine robotics, and smart agriculture, demonstrating versatility in solving real-world sensing and automation challenges.