Kate Howell
Papers
7
Total Citations
284
H-Index
5
About
Kate Howell is a pioneering researcher at the intersection of food science, computer vision, and artificial intelligence, with a particular focus on beverage quality assessment. Her work has fundamentally advanced how we objectively evaluate the sensory and chemical properties of beer and sparkling wine, moving the field away from costly, time-consuming traditional methods toward automated, data-driven solutions. Howell's most influential contribution is her development of integrated systems combining robotics, computer vision, near-infrared spectroscopy, and machine learning to assess key quality traits such as foamability, foam stability, and color — attributes directly tied to consumer perception. Her 2017 paper on beer quality assessment has garnered 89 citations, while her pioneering work on robotic pourers applied to sparkling wines helped establish a new methodological paradigm in enology and brewing science. Notably, her research also incorporates consumer biometrics, reflecting a sophisticated understanding of how objective measurements connect to human sensory experience. Howell's body of work, accumulating nearly 300 citations across her key publications, demonstrates broad impact across food technology, sensory science, and applied AI. Her research equips both industry professionals and scientists with faster, more reliable tools for quality control, making her a significant voice in modern food and beverage innovation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7