Edison Thomaz

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April 2021

We are actively looking for UT master students and undergrads to join our group. If you are interested in wearable + mobile computing, and activity recognition, please visit this. Experience with iOS programming, web app development and hardware fabrication would be especially welcome.

April 2021

The new UT Austin-based Institute for Foundations of Machine Learning (IFML) has awarded us a grant to work on adaptive and continual learning for activity recognition applications. We are excited to extend our research work in this direction.

March 2021

Rebecca Adaimi's paper on acoustic activity recognition with conversational assistants has been accepted to IMWUT and will be presented at Ubicomp in September. This work shows that it is possible to leverage gaps in voice interactions to learn about a person's context and activities.

January 2021

In collaboration with colleagues at Penn State and Stanford, we are kicking off a 5-year project to explore the use of wearables to prevent kidney stones. Thanks to the National Institute of Diabetes and Digestive and Kidney Diseases for supporting this effort.


December 2020

We have the pleasure of hosting Professor Cecilia Mascolo from the University of Cambridge at the ECE Colloquia Seminar on December 2nd at 12pm CT over Zoom. Prof. Mascolo will go over her recent work on the use of mobile audio data for health diagnostics.

November 2020

I will be teaching EE422C Software Design and Implementation II in Spring 2021. This undergrag course is a foundation for object-oriented software design and will cover the ins and outs of Java. Like most classes we are offering in the Spring, the course will be taught online only.

July 2020

Dawei's work on the balance between audio degradation and activity recognition performance has been accepted to MobileHCI 2020. Like all other conferences in the Fall, MobileHCI will take place online.

July 2020

Our paper on intra-oral sensing of motion and temperature has been accepted to ISWC 2020, which will be held online in September due to the pandemic.

July 2020

Keum San's paper on eating detection with jawbone-mounted inertial sensing was featured at the 2020 IEEE Engineering in Medicine and Biology Society Conference.

June 2020

We have contributed to a review paper on eating detection with wearables. Led by our collaborators at USC, it has been published at Nature Digital Medicine.

March 2020

I was the workshop co-chair for PerCom 2020. Held online due to the pandemic, it was supposed to take place at UT Austin. Two papers from the group were featured in the ARDOUS workshop, focused on data annotation for Ubicomp applications.


September 2019

Our work exploring Active Learning to minimize data annotation has been accepted to IMWUT and will be presented at Ubicomp 2019. Our group will be presenting 2 papers at the conference.

June 2019

I had the opportunity to co-instruct the "Ubiquitous Computing: Enabling Technologically Advanced Living" workshop at the University of Oulu in Finland with my colleagues Prof. Denzil Ferreira and Prof. Anind Dey.

April 2019

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.

March 2019

I am excited that I was awarded a 2-year Experiential Learning Initiative grant to re-design and update our software design and implementation class.

March 2019

We got one paper accepted at IUI 2019 and another at IMWUT. These papers will be presented at IUI 2019 in Los Angeles and Ubicomp 2019 in London.


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 in biobehavior research.

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 © 2020