Edison Thomaz

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I am an Assistant Professor and Texas Instruments/Kilby Fellow in the The Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, where I direct the Human Signals lab. My research focuses on human-centered machine perception using wearable and ubiquitous technologies. My students and I explore how to build computational systems that can make sense of people; systems that can recognize people's behaviors and activities, health conditions, emotional state, surronding context, social interactions and more. I am affiliated with DICE, bioECE and SES. I am also a member of WNCG and a faculty affiliate of CAPS. I am an Associate Editor of IMWUT and Technical Program Chair for UbiComp 2023.

Contact Info

ethomaz at utexas dot edu
Twitter: @ethomaz

EER 7.818
2501 Speedway
Austin, TX 78712

Office Hours

Spring 2023
Wednesdays 1-2pm
EER 7.818

Teaching

Spring 2023
EE382V Human Signals

Fall 2023
EE422C Software Design II

Ph.D. Students

Rebecca Adaimi
Dawei Liang
Priyanka Khante
Xuewen Yao
Yufei Shen
Sloke Shrestha
Alice Zhang

Ph.D. Alumni

Keum San Chun
Sonica Health

Affiliations





Recent News | All

  Presence at Ubicomp 2022
The conference was held in Atlanta and I served as the PC Chair for the co-located ISWC conference. Rebecca presented her paper on ADL recognition with a smartwatch and Daiwei presented his AudioIMUT paper as well, which was recognized as a best-paper runner-up.
Sept 2022

  New Students Join the Lab
The team is growing. Yufei, Sloke and Alice are starting in the group this semester to kickoff new research projects and support on-going ones. They join Dawei, Rebecca, Priyanka, Xuewen, and our great research support team of undergraduate students. Welcome to the lab.
Aug 2022

  New NIH Grant to Study Digital Biomarkers
We are thrilled that we have been awarded an NIH R01 grant to study and develop new digital biomarkers and analytics for cognitive impairment. Our UT Austin-based team includes faculty from the Dell Medical School and the Dept. of Speech, Language, and Hearing Sciences.
Mar 2022

  Detecting ADLs with a Smartwatch
Our paper describing the potential of multimodal sensing with a smartwatch to recognize various activities of daily living has been accepted for publication at IMWUT. Congrats to Rebecca and Sarnab, who put a lot work into this research in pandemic times.
Apr 2022

  Deep Graph CNNs for HAR
Abduallah Mohamed, who recently defended his dissertation and is now at Meta, turned a class project in the Human Signals course about dealing with highly unlabeled data in activity recognition applications into a nice paper for the CoMoRea PerCom workshop.
Mar 2022

  Infant Crying Detection Paper at ICASSP 2022
Congrats to Xuewen for getting her paper on infant crying detection in real-world environments accepted to ICASSP 2022. This research involved compiling and annotating 780 hours of real-world audio data.
Feb 2022

  Jack Kilby/Texas Instruments Fellowship
I have been appointed as 2021-2022 Fellow of the Jack Kilby/Texas Instruments Endowed Faculty Fellowship in Computer Engineering. Very excited and grateful, thank you for your support UT ECE.
Sept 2021

Select Publications | All

Leveraging Sound and Wrist Motion to Detect ADLs with Commodity Smartwatches
Sarnab Bhattacharya, Rebecca Adaimi, Edison Thomaz
IMWUT 2022 | DOI

Acoustic Activity Recognition Bounded by Conversational Assistant Interactions
Rebecca Adaimi, Howard Yong, Edison Thomaz
IMWUT 2021 | DOI | Data + Code

Detecting Eating by Tracking Jawbone Movements with a Non-Contact Wearable Sensor
Keum San Chun, Sarnab Bhattacharya, Edison Thomaz
IMWUT 2018 | DOI

Intraoral Temperature and Inertial Sensing in Automated Dietary Assessment
Keum San Chun, Sarnab Bhattacharya, Caroline Dolbear, Jordon Kashanchi, Edison Thomaz
ISWC 2020 | DOI

Predicting Daily Activities From Egocentric Images Using Deep Learning
Daniel Castro, Steve Hickson, Vinay Bettadapura, Edison Thomaz, Gregory D. Abowd, Henrik Christensen, Irfan Essa
ISWC 2015 | DOI


Edison Thomaz © 2023