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Raiza Tamae Sarkis Hanada

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Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME)  (Institutional affiliation from the last research proposal)
Birthplace: Brazil

I hold a PhD degree from the University of São Paulo at São Carlos (USP/São Carlos, Brazil) since Feb/2013. I hold a BSC degree in Computer Science from the Federal University of Amazonas (2010), and a MSC degree in Computer Science from the University of São Paulo (2013). During my undergraduate course I worked on recommendation algorithms for Digital TV Advertising. During the MSc course, my research focused on Link Analysis subarea, which investigated the correlation between link analysis metrics and quality, popularity and importance scores of Wikipedia's articles (DOI 10.1145/2526188.2526198). In addition, I have been involved in collaborations in Opinion Mining and Recommender Systems (DOI 10.1145/2820426.2820448). Currently, my research combines human-computer interaction and machine learning approaches towards improving eye-based entry systems. Until this moment, I have used a noise channel-based model to infer which word the input typed by a user refers to (DOI 10.1145/2983323.2983838, DOI 10.1145/3132847.3133028). I also was granted with the Google Latin America Award (LatAM 2016 and LARA 2017) for developing the project that I am working on. (Source: Lattes Curriculum)

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