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Cahill Named SPIE Rising Researcher

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Professor Nathan Cahill at the Rochester Institute of Technology (RIT) has been named a Rising Researcher by SPIE, the international society for optics and photonics, for his contributions to defense and security research.

Cahill is the associate dean for industrial partnerships in the College of Science and an associate professor in RIT’s School of Mathematical Sciences. He directs the Image Computing and Analysis Lab at RIT, which focuses on the development of mathematical models and computational algorithms for the analysis of color, hyperspectral and medical imagery.

Cahill is one of 10 early career professionals selected to receive the new award. The first cohort of SPIE Rising Researchers was chosen for their work in defense, commercial and scientific sensing, imaging and optics, or in product development.

“I’m honored and humbled by this award,” Cahill said. “RIT has a strong reputation in the defense and security community, and many faculty and student researchers across various departments at RIT have long been working on tackling difficult problems in areas like remote sensing, machine learning and cybersecurity. The diversity of backgrounds, talents and ideas of the students and faculty I’ve been lucky enough to collaborate with at RIT has made this recognition possible.”
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Published: February 2017
Glossary
hyperspectral imaging
Hyperspectral imaging is an advanced imaging technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging systems that record only a few spectral bands (such as red, green, and blue in visible light), hyperspectral imaging collects data in numerous contiguous bands, covering a wide range of wavelengths. This extended spectral coverage enables detailed analysis and characterization of materials based on their spectral signatures. Key...
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
hyperspectral imagingNathan CahillRochester Institute of TechnologyRising ResearcherSPIEAmericasResearch & TechnologyeducationSensors & Detectorsmachine visionImagingOptics

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