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

Summer 2023
By appointment only

Teaching

Fall 2023
EE422C Software Design II

Spring 2024
EE382V Human Signals

Ph.D. Students

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

Ph.D. Alumni

Keum San Chun (2021)
Sibel Health

Xuewen Yao (2023)
Microsoft

Affiliations







Recent News | All

  Ambient AI Workshop Paper
Dawei's research on foreground speech analysis has been accepted to the ICASSP 2023 Ambient AI Workshop. The paper is titled "A Dataset for Foreground Speech Analysis with Smartwatches in Everyday Home Environments". Nice work Dawei.
Apr 2023

  Meta Research PhD Fellowship Received
Super congrats to Dawei, who received the Meta Research PhD Fellowship this year on the topic of Augmented Reality Audio. Dawei is developing a very nice body of work in this field.
Apr 2023

  NSF CAREER Awarded
Very excited and grateful to have received the NSF CAREER award. Looking forward to developing new methods and wearables to advance dietary monitoring over the next several years.
Mar 2023

  Xuewen Defends PhD Thesis
Xuewen, co-advised with Kaya de Barbaro, successfully defended her PhD thesis titled "Leveraging Pervasive Data to Study and Support Mother-Infant Dyads in the Wild". Congratulations Dr. Yao!
Mar 2023

  Speech Detection Paper at ICASSP
Dawei's research at Meta in Summer 2022 led to a paper titled "Dynamic Speech Endpoint Detection with Regression Targets". This work has been accepted to ICASSP 2023 and will be presented at the conference in Greece this year.
Feb 2023

  Program Chair for Ubicomp 2023
Happy to announce that I will be a technical program co-chair for Ubicomp 2023, to be held in Cancún (Mexico). My co-chairs will be my colleagues Prof. Silvia Santini and Prof. Judy Kay.
Nov 2022

  Paper at PACMHCI
Happy to report that Xuewen's paper titled "Understanding Postpartum Parents' Experiences via Two Digital Platforms" has been accepted to the Proceedings of the ACM on Human-Computer Interaction. Excellent work Xuewen.
Nov 2022

  Lifelong Learning Paper at Sensors
Rebecca's work on continual learning for activity recognition titled "Lifelong Adaptive Machine Learning for Sensor-based Human Activity" has been accepted to Sensors. This is an area of research that we are very excited about.
Sept 2022

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