I am an Associate Professor and William H. Hartwig 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 sensing and machine perception using wearable and ubiquitous technologies. My students and I explore how to build computational systems that make sense of people; intelligent systems that recognize and model 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,
iMAGiNE and a faculty affiliate of
CAPS. I am an Editor of
IMWUT and Steering Committee Chair for
UbiComp.
Fall 2025 Ph.D. Positions Available: The Human Signals Lab is considering applicants for Ph.D. positions with strong interest in human-centered computing, wearables, machine learning and health. If interested, please visit the page for prospective students, and make sure you formally apply to the Texas ECE graduate program.
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Ubicomp 2024 in AustraliaAttended Ubicomp in Melbourne. It was a packed week, with the conference itself plus steering committee and editorial meetings. To top it off, I participated in a workshop on the future of Ubicomp at UNSW Sydney organized by Flora Salim. A lovely time down under.
Oct 2024
Promotion to Associate ProfessorVery happy and thankful that my promotion to Associate Professor has been approved and is now official, starting in Fall 2024.
Aug 2024
Dawei Defends PhD DissertationDawei completed his doctorate by defending his PhD thesis titled "Towards Practical Acoustic Sensing for Human Activity Recognition on Commercial Wearable Devices". His work was featured at IMWUT, ISWC, MobileHCI and other top venues.
Mar 2024
LLMs and Data AnnotationWe have been exploring how LLMs might have an impact in activity recognition. Sloke has conducted studies centered on how they might change data annotation. For more details, check the
paper, which will be presented at the
CHASE 2024 conference. The paper is titled "Leveraging Large Language Models to Annotate Activities of Daily Living Captured with Egocentric Vision".
Feb 2024
NIH R01 AwardedTed Walls, Kathleen Melanson (both at the University of Rhode Island) and I have been granted
funding from NIH to explore new techniques for dietary monitoring using a novel wearable device. We thank NIH for their support, and are looking forward to advancing this research.
Jan 2024
New IMWUT and UbiComp Service PositionsAfter many years as Associate Editor of
IMWUT, I have been invited to join the board as Editor. Additionally, I was elected chair of the UbiComp Steering Committee. Very happy to continue contributing to my academic community in these new roles.
Nov 2023
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