Edison Thomaz
Associate Professor
Works on sensing and recognizing human behavior with wearables and machine learning for health applications.
Edison Thomaz's lab at UT Austin works on medical imaging & healthcare AI. 21 papers since 2023, 2 at top venues, mostly ICASSP and Interspeech. 5 PhD students. 4 alumni, most often to Apple and Microsoft. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 10%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 0
- 5 papers2024 · T1 1
- 8 papers2023 · T1 1
T1 venuesOtherVenues: ICASSP, Interspeech, TIST
Research focuspaper titles that use each topic's words
- sensing6 papers
- Medical imaging & healthcare AI3 papers
- behavior1 paper
- wearables0 papers
- human behavior0 papers
Paper list
From the lab homepage.
20265 papers
- PACM IMWUTDetecting Eating Events with Inertial Sensing in a Ring Wearable (opens in a new tab)
- TISTDetecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing (opens in a new tab)
- NutrientsEnhancing Nutritional Ingestive Behavior Microstructure Detection: Video Annotation and Passive Sensing Approaches (opens in a new tab)
- IEEE Internet of Things JournalGated Adaptation for Continual Learning in Human Activity Recognition (opens in a new tab)
- Innovation in AgingMultimodal Passive Smartphone Sensing in Older Adults: A Guide for Clinical Scientists Based upon an Ongoing Cohort Study (opens in a new tab)
20253 papers
- EMBCAttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset (opens in a new tab)
- EMBS BHIDeep Learning-Based Detection of Cognitive Impairment from Passive Smartphone Sensing with Routine-Aware Augmentation and Demographic Personalization (opens in a new tab)
- IJNNTransformation of Audio Embeddings into Interpretable, Concept-Based Representations (opens in a new tab)
20245 papers
- Interspeech (T1)Improving Audio Classification with Low-Sampled Microphone Input: An Empirical Study using Model Self-Distillation (opens in a new tab)
- CHASELeveraging Large Language Models to Annotate Activities of Daily Living Captured with Egocentric Vision (opens in a new tab)
- Contemporary Clinical TrialsPromoting Fluid Intake to Increase Urine Volume for Kidney Stone Prevention: Protocol for a Randomized Controlled Efficacy Trial of the sipIT Intervention (opens in a new tab)
- JMIR Formative ResearchStrategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study (opens in a new tab)
- Journal of Clinical & Medical SurgeryThe Relationship Between Activity Captured Using Wearable Sensors and Capability in Patients Undergoing Total Joint Replacement (opens in a new tab)
20238 papers
- Journal of Nutrition Education and BehaviorA Conceptual Model for Mobile Health-enabled Slow Eating Strategies (opens in a new tab)
- Pervasive HealthA Decentralized Clinical Trial of a Digital Intervention with Multiple Health Trackers for Heart Failure: Early Learnings and Practical Considerations (opens in a new tab)
- Frontiers in Digital Health - Health InformaticsAuditory Chaos Classification in Real-world Environments (opens in a new tab)
- PACM IMWUTAutomated Face-to-Face Conversation Detection on a Commodity Smartwatch with Acoustic Sensing (opens in a new tab)
- Experimental Aging ResearchDigital Methods for Performing Daily Tasks Among Older Adults: An Initial Report of Frequency of Use and Perceived Utility (opens in a new tab)
- ICASSP (T1)Dynamic Speech Endpoint Detection with Regression Targets (opens in a new tab)
- UrologyFeasibility of mini sipIT Behavioral Intervention to Increase Urine Volume in Patients with Kidney Stones (opens in a new tab)
- PACM HCIUnderstanding Postpartum Parents' Experiences via Two Digital Platforms (opens in a new tab)
Where alumni went4 listed, 100% to industry
Industry 3Academia 0
Most often to
- Apple
- Microsoft
- Samsung
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNPeking
Guilan Kong
- Medical imaging & healthcare AI
- USUCSD
Tauhidur Rahman
- Medical imaging & healthcare AI
- USNYU
David W. Hogg
- Physics, climate & scientific computing
- SGNTU
Siew-Kei Lam
- Embodied & active vision
- CNPeking
Shenda Hong
- Medical imaging & healthcare AI
- USUSC
Maryam Shanechi
- Neuroscience & brain-computer interfaces
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
UT Austincloses