Assistant Professor, Electrical and Computer Engineering
2003 B.Eng. Keio University
2005 M.Eng. Keio University
2015 Ph.D. Massachusetts Institute of Technology
Dr. Sano's research focuses on mobile health and affective computing. She hasÂ been working on measuring and understanding stress, sleep, mood andÂ performance from ambulatory human long-term data and designingÂ intervention systems to help people be aware of their behaviors andÂ improve their health conditions.Â
Akane Sano is an Assistant Professor at Rice University, Department ofÂ Electrical Computer EngineeringÂ andÂ Computer Science.Â
Her research focuses on human sensing, data analysis and application development for health and wellbeing. She is a member ofÂ Scalable Health Labs.
She has been working on developing technologies to measure, forecast, understand and improve health and wellbeing. She has worked on measuring and predicting stress, mental health, sleep and performance and designing systems to help people to reduce their stress and improve their mental health, sleep and performance for student and employee populations includingÂ SNAPSHOT study project, Eureka project (symptom prediction and digital phenotyping in schizopherenia using phone data) andÂ IARPA mPerf projectÂ (Using mobile sensors to support productivity and employee well-being).
She obtained her PhD at MIT Media Lab, and her MEng and BEng at Keio University, Japan. Before she joined Rice University, she was a Research Scientist inÂ Affective Computing GroupÂ atÂ MIT Media Lab, and a visiting scientist/lecturer at People-Aware Computing Lab, Cornell University.
Before she came to the US, she was a researcher/engineer at Sony Corporation on wearable computing, intelligent systems and human computer interaction.