Our work in human-centered computing explores and enhances the ways in which people and communities engage with and experience technology.
Our research considers the personal, educational, cultural, and ethical implications of innovation. Drawing upon techniques from human-computer interaction, learning sciences, sensing and more, we aim to maximize the potential benefits of technology while minimizing potential harms to individuals, groups and society.
Groups & Labs
UbiComp Lab
The Ubiquitous Computing (UbiComp) Lab develops innovative systems for health sensing, low-power sensing, energy sensing, activity recognition and novel user interface technology for real-world applications.
Makeability Lab
The Makeability Lab specializes in Human-Computer Interaction and applied machine learning for high-impact problems in accessibility, computational urban science, and augmented reality.
Allen School Faculty
Associate Professor
Professor
Professor
Professor
Centers & Initiatives
The Transportation Data Equity Initiative (TDEI) aims to enhance the quality and accessibility of travel services by building open source data collection and vetting tools, transportation data digital infrastructure, and governance frameworks that enable public-private data sharing and interoperability. The TDEI is a project sponsored by The Complete Trip, an ITS4US Deployment Program.
DFab is a network of researchers, educators, industry partners, and community members advancing the field of digital fabrication at UW and in the greater Seattle region.
Highlights
Allen School News
Allen School faculty recognized 2025 alumni Wei and Zhu for their outstanding doctoral dissertation research identifying new methods for tackling online harassment introducing more secure techniques for generating digital signatures, respectively.
Allen School News
Itani, who works with Allen School professor Shyam Gollakota in the Mobile Intelligence Lab, was recognized for exceptional early-career research advancing AI systems for “superhuman” hearing.
HearingTracker
A technology known as semantic hearing developed in Allen School professor Shyam Gollakota’s lab could let users create acoustic bubbles, isolate chosen voices, and control individual sounds in their environment.