Akane Sano

Akane is an Assistant Professor at Rice University, Department of Electrical Computer Engineering, Computer Science, and Bioengineering. She directs the Computational Wellbeing Group. Her research focuses on human sensing, data analysis andmodeling, and intelligent system development for health, well-being, and performance. She is also a member of the Rice Scalable Health Labs. Her research spans the field of affective, ubiquitous, andwearable computing and biobehavioral sensing and analysis/modeling. Her research targets (1) the analysis and modeling of human ambulatory multimodal time series data including physiological, biological, and behavioral data and surveys for measuring, predicting, improving, and understanding human physiology and behavior and human factors such as health, well-being, and performance and (2) development of human-centered computing technologies for health, well-being, and performance. She has been working on developing tools, algorithms, and systems to measure, forecast, understand, and improve health and well-being using mobile and wearable sensors and devices in daily life settings, especially for measuring, predicting, and intervening/improving stress, mental health, sleep, and performance. She received her Ph.D. at MIT Media Lab and her M.Eng. and B.Eng. at Keio University, Japan. Before she joined Rice University, she was a Research Scientist in the Affective Computing Group at MIT Media Lab and a visiting scientist/lecturer at the People-Aware Computing Lab, Cornell University. Before she came to the United States, she was a researcher/engineer at Sony Corporation and worked on wearable computing, intelligent systems, and human-computer interaction. For more information on Akane's research, please see: http: //akane.sano.web.rice.edu/. Akane is the lead author of Chapter 4 and assisted on Chapter 9 of this book.