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: UTA 7.231
1616 Guadalupe Street
Austin, TX 78701
Office Hours: Tuesdays at 12PM
News
Looking for undergrad TA: I will be teaching EE422C (Software Design and Implementation II) in Fall 2017 and I am currently looking for an undergrad TA. Requirements include having taken the class and done well, working 20hrs/week, holding office hours, assisting with grading, and enjoying helping other students.
Dietary Monitoring Study: We are currently recruiting for a dietary monitoring study that involves eating a variety of foods while wearing a sensing device. The study will be conducted in UTA in July 2017. If interested, please sign-up for a slot or contact me.
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