Papers
4
Total Citations
162
H-Index
3
About
Dr. Luigi Troiano is a pioneering researcher whose work spans the intersection of artificial intelligence, signal processing, and human-robot interaction. His key research areas include deep learning for financial modeling, acoustic vector sensing for marine applications, and ergonomic risk assessment using computer vision. Dr. Troiano’s most influential work, “Replicating a Trading Strategy by Means of LSTM for Financial Industry Applications” (92 citations), demonstrates how long short-term memory networks can learn complex trading rules from market indicators, offering a transformative approach to algorithmic finance. In marine acoustics, his 2020 study on passive acoustic signal processing with a 3-D acoustic vector sensor hosted on a buoyancy glider (51 citations) advances low-frequency noise source detection and direction-of-arrival estimation, critical for underwater surveillance and environmental monitoring. More recently, Dr. Troiano has focused on Industry 4.0, developing systems that use 3D human pose estimation to assess and optimize ergonomic risks in collaborative robot workplaces (17 citations). His work not only prevents work-related musculoskeletal disorders but also integrates machine learning with real-time safety analytics. With over 160 total citations, Dr. Troiano’s contributions are driving innovation across finance, oceanography, and industrial automation.
Research Focus
Key Achievements
Top Papers
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