Selene Mota Toledo

Selene Mota completed her Ph.D. at Massachusetts Institute of Technology in the Department of Architecture's Design and Computation group and with the Media Laboratory. Her research has an interdisciplinary orientation that involves four main areas of interest: behavioral analysis, machine learning, affective computing and user-centered design. 

Her master degree work is pioneering for being able to successfully characterize dynamic patterns of movements that read emotional states from body language. Her PhD is focused on creating large-scale physical activity recognition systems that can be deployed on common mobile phones for monitoring natural occurring behavior in fee-living settings. 

Selene holds a Bachelors degree in Electrical Engineering with magna cum laude from Monterrey Institute of Technology in Mexico, and a Master in Media Arts and Sciences from the Massachusetts Institute of Technology. She was part of the Lemelson inventor’s fellows program and top five finalist at the MIT 100K Competition and the CIMIT Prize. She has collaborated with several research institutions such as the Swiss Institute of Technology in Lausanne (EPFL) and the German Institute of Artificial Intelligence (DFKI). 

2014 Doctoral Dissertation:  Scalable Recognition of Human Activities for Pervasive Applications in Natural Environments