Nicola Ferrier
Biography
Ferrier’s research interests are in the use of computer
vision (digital images) to control robots,
machinery, and devices, with applications as diverse as medical systems, manufacturing, and
projects that facilitate “scientific discovery” (such as her recent project using machine vision and
robotics for plant phenotype studies). The use of visual feedback in the control is advantageous
when precise fixturing is impractical or impossible. Her work has been applied to visual monitoring
of polymer processing, visual control of crystal formation processes, and visual monitoring of nanoscale assembly processes.
machinery, and devices, with applications as diverse as medical systems, manufacturing, and
projects that facilitate “scientific discovery” (such as her recent project using machine vision and
robotics for plant phenotype studies). The use of visual feedback in the control is advantageous
when precise fixturing is impractical or impossible. Her work has been applied to visual monitoring
of polymer processing, visual control of crystal formation processes, and visual monitoring of nanoscale assembly processes.
Presentations
Workshop
Data Analytics
Data management
SIGHPC Workshop
Visualization
Chair of Sessions
Workshop
Data Analytics
Data management
SIGHPC Workshop
Visualization