Isurie Akarawita
Papers
2
Total Citations
8
H-Index
2
About
Isurie Akarawita is a pioneering researcher at the intersection of food science and biomedical engineering, whose work is redefining how we understand mastication and food texture. Her primary research areas include robotic simulation of human chewing, food bolus characterization, and the application of image analysis techniques to food science. Akarawita’s major contribution is the development of novel methodologies to evaluate in vitro chewing effects, most notably through her groundbreaking 2024 paper, "A Novel Approach to Evaluate Robotic in Vitro Chewing Effect on Food Bolus Formation Using the GLCM Image Analysis Technique," which has already garnered 6 citations for its innovative use of texture analysis to quantify food breakdown. She further advanced the field with the creation of "ChewNet" (2025), a comprehensive multimodal dataset capturing in vivo and in vitro chewing data from beef and plant-based burger patties, integrating images, texture, and force profiles. This work, with 2 citations, provides an invaluable resource for researchers exploring plant-based meat alternatives. Akarawita’s achievements bridge engineering and nutrition, offering tools to improve food design for elderly care and dysphagia management, making her a rising leader in this niche yet vital domain.
Research Focus
Key Achievements
Top Papers
- 1
- 2