Edison Thomaz

Publications   Teaching   Vita   Prospective Students


I am a Research Assistant Professor in the ECE department and the School of Information at The University of Texas at Austin. I hold a bachelor's degree in Computer Science from UT Austin, a master's from the MIT Media Lab and a Ph.D. in Human-Centered Computing from Georgia Tech.

In my research, I develop and study systems and computational methods for sensing, recognizing and modeling the entire span of people's everyday activities and context. Inspired by the omics neologism that has been extensively used in various fields of biology, such as proteomics and metabolomics, I refer to the collective characterization and quantification of all human activities and states, from simple gestures to complex life patterns and routines, as Activiomics. By enabling the finely-grained measurement of human behaviors at multiple levels of detail, and combining it with genomic information and continuous physiological monitoring, my goal is to build personalized health models and tools that can characterize and forecast various states of health and disease from sensor data.



Research Assistant Professor
Electrical and Computer Engineering
School of Information
The University of Texas at Austin

I am a member of DICE and WNCG at ECE and the Intelligent Systems Group at the iSchool.

ethomaz at utexas dot edu
Twitter: @ethomaz

Office: EER 7.818
2501 Speedway
Austin, TX 78712

Office Hours: Tuesdays at 1PM




News



Move to EERC: After a long wait, we have recently moved offices and lab space to the 7th floor of the new EERC building. The building is on Speedway and right next to RLM and 26th Street.


Get Involved in Research: I am currently looking for UT undergrads and master students to join my research group starting in Summer 2017. If you are interested in breaking new ground in areas such as wearable computing, mobile health, HCI, activity recognition, or predictive health, check this.



Recent Publications



Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications

Eun Kyoung Choe, Saeed Abdullah, Mashfiqui Rabbi, Edison Thomaz, Daniel Epstein, Matthew Kay, Felicia Cordeiro, Gregory D. Abowd, Tanzeem Choudhury, James Fogarty, Bongshin Lee, Mark Matthews, Julie Kientz

IEEE Pervasive Computing 16 (1), 74-84



Exploring Symmetric and Asymmetric Bimanual Eating Detection with Inertial Sensors on the Wrist

Edison Thomaz, Abdelkareem Bedri, Temiloluwa Prioleau, Irfan Essa, Gregory D. Abowd

Proceedings of the 1st Workshop on Digital Biomarkers (2017)



Edison Thomaz © 2017