Papers
2
Total Citations
25
H-Index
2
About
David Tormey is a leading researcher in sustainable manufacturing, advanced sensor fusion, and remote robotic control. His most cited work, “State Estimators in Soft Sensing and Sensor Fusion for Sustainable Manufacturing” (22 citations), introduces model-based algorithms—including observers and Bayesian filters—that enable fast, accurate estimation of unmeasurable system variables. This contribution is pivotal for improving process efficiency and reducing waste in smart factories. Tormey also explores satellite communications for teleoperation, as demonstrated in his 2023 study comparing GEO and LEO systems for remote presence control of an ROV. This practical investigation into reliability, latency, and bandwidth addresses critical challenges in offshore and hazardous environment operations. His work bridges theoretical estimation techniques with real-world industrial and robotic applications, offering students and researchers a clear pathway from algorithm design to deployment. Tormey’s research is essential reading for those interested in the intersection of control theory, sensor technology, and sustainable automation.
Research Focus
Key Achievements
Top Papers
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