Edison Thomaz

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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, I am interested in building 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: Mondays at 1PM




News



New Home on Campus: Our lab is now located on the 7th floor of the shiny new Engineering and Education Research Center (EERC or simply EER) building, located on Speedway and right next to RLM and Dean Keeton.


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



Recent Publications



Detecting Eating Episodes by Tracking Jawbone Movements with a Non-Contact Wearable Sensor

Keum San Chun, Sarnab Bhattacharya, Edison Thomaz

Proceedings of the ACM Interactive Mobile Wearable Ubiquitous Technologies (IMWUT) 2, 1, Article 4 (March 2018).
DOI: https://doi.org/10.1145/3191736



Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation

Mariella Dimiccoli, Juan Marín, Edison Thomaz

Proceedings of the ACM Interactive Mobile Wearable Ubiquitous Technologies (IMWUT) 1, 4, Article 132 (January 2018).
DOI: https://doi.org/10.1145/3161190



Edison Thomaz © 2018