Edison Thomaz

Publications   Teaching   Vita   Prospective Students



I am an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin, where I direct the Human Signals lab. 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. I am a member of DICE, WNCG, and I am currently an Associate Editor of IMWUT

My research focuses on the computational perception of human signals (e.g., behavioral, emotional, physiological) while leveraging ubiquitous and wearable sensing. A core area of interest is studying systems and methods for recognizing and modeling the entire span of people's everyday activities and context. This work intersects with several disciplines, from ubiquitous computing and HCI to human-centered machine learning and signal processing. I am particularly motivated by applications in the domain of health and personalized medicine such as building health models and tools that can characterize and forecast various states of health and disease from sensor data.




Contact Info



ethomaz at utexas dot edu
Twitter: @ethomaz

EER 7.818
2501 Speedway
Austin, TX 78712

Office Hours: Thursdays @ 11AM




News



June 2018

We are actively looking for UT undergrads and master students to join our group. If you are interested in doing research in wearable computing, mobile health, HCI, activity recognition, and predictive health, check this.


April 2018

We are excited to announce that we have been awarded a Google Faculty Research Award. Over the next year, we will explore how conversational assistants such as Google Home can be used as a health sensor.


February 2018

We will be presenting our most recent work in automated dietary assessment at Ubicomp 2018: Detecting Eating Episodes by Tracking Jawbone Movements with a Non-Contact Wearable Sensor, by Chun, Bhattacharya, and Thomaz.


November 2017

We got a privacy journal article accepted for IMWUT: Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation. This work will be featured at Ubicomp 2018.


September 2017

We have a new home: our lab is now located on the 7th floor of the new Engineering and Education Research Center (EERC or simply EER) building, located at Speedway and Dean Keeton.




Edison Thomaz © 2018