{"id":2168,"date":"2023-08-28T10:23:46","date_gmt":"2023-08-28T14:23:46","guid":{"rendered":"https:\/\/research.ece.ncsu.edu\/enbisys\/?post_type=team&p=2168"},"modified":"2024-08-27T16:09:10","modified_gmt":"2024-08-27T20:09:10","slug":"rashmi-datta","status":"publish","type":"team","link":"https:\/\/research.ece.ncsu.edu\/enbisys\/team\/rashmi-datta\/","title":{"rendered":"Rashmi Datta"},"content":{"rendered":"

Rashmi Datta was a Master\u2019s student in the Department of Electrical and Computer Engineering and a member of the EnBiSys Lab at NC State. During her time in the EnBiSys Lab, Rashmi\u2019s research focuses on using user-perception features data along with features that can be extracted from images of sweetpotatoes to train machine learning models that are able to objectively grade sweetpotatoes (e.g., deviation from a high value sweetpotato). Since graduating from NC State, Rashmi is now working as an Engineer for Quanta Technology.<\/p>\n","protected":false},"author":121,"featured_media":2169,"menu_order":0,"template":"","team_designation":[],"team_department":[33,38],"class_list":["post-2168","team","type-team","status-publish","has-post-thumbnail","hentry","team_department-alumni","team_department-past-members"],"yoast_head":"\nRashmi Datta - EnBiSys Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/research.ece.ncsu.edu\/enbisys\/team\/rashmi-datta\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Rashmi Datta - EnBiSys Lab\" \/>\n<meta property=\"og:description\" content=\"Rashmi Datta was a Master\u2019s student in the Department of Electrical and Computer Engineering and a member of the EnBiSys Lab at NC State. 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