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Human-Centered Computing

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.


Allen School Faculty

Accessible Accordion

Areas of Expertise

Societal Impact

Results will appear in alphabetical order.

Assistant Teaching Professor

Associate Professor

Associate Professor

Assistant Professor

Associate Teaching Professor

Professor

Professor

Professor

Professor

Assistant Teaching Professor

Professor

Assistant Professor

Professor & Interim Director

Professor

Associate Professor

Associate Teaching Professor

Associate Teaching Professor

Professor

Teaching Professor

Professor

Professor

Assistant Teaching Professor

Professor

Associate Professor

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Professor

Associate Professor

Assistant Professor

Assistant Teaching Professor

Assistant Teaching Professor

Associate Professor

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.