Dakuo Wang

Dakuo Wang

Associate Professor

Northeastern University

About Me

Dakuo Wang is an Associate Professor at Northeastern University, jointly appointed in Khoury College of Computer Sciences and the College of Arts, Media and Design. He leads the Northeastern University Human-Centered AI Lab (NEU HAI) and was the Founding Director for the AI Applications Graduate Program. He is also a Visiting Scholar at Stanford University, an Amazon Scholar, and a Microsoft Faculty Advisor. His research develops and evaluates human-centered AI systems for health, education, and collaborative work, with the goal of democratizing AI through effective human-AI collaboration. Our work is currently supported by NSF 2302730, NIH R01CA301579, R01HD120364, R01AI188576, R01MD018424, VA/HSR IIR 22-204, Microsoft Research, and Amazon.

Previously, Dakuo was a Senior Staff Member at IBM Research and Principal Investigator at the MIT-IBM Watson AI Lab. He received his Ph.D. from the University of California, Irvine (advisors: Judith Olson and Gary Olson), and has worked as a designer, researcher, and engineer in the U.S., China, and France. ACM has recognized him as an ACM Distinguished Speaker.

NEU HAI is hiring: we are recruiting 10+ PhD students and 3+ research scientists/postdocs. Interested candidates are welcome to reach out via email.

I am falling behind in updating my own publications; Google Scholar does a better job than I do.

Interests
  • Human Computer Interaction
  • Human-AI Collaboration
  • Natural Language Processing
  • Health Informatics
  • Data Science
  • Computer-Supported Cooperative Work
Education
  • PhD in Information and Computer Sciences

    University of California Irvine

  • MS in Electrical and Computer Engineering

    University of California Irvine

  • MS in Information System

    École centrale d’électronique, Paris

  • BS in Computer Science

    Beijing University of Technology

Publications

(2025). SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Connection. Proceedings of the ACM Conference.

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(2025). User Interaction Patterns and Breakdowns in Conversing with LLM-Powered Voice Assistants. International Journal of Human-Computer Studies.

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(2025). Secret Use of Large Language Model (LLM). Proceedings of the ACM on Computer-Supported Cooperative Work and Social Computing (CSCW).

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(2024). Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

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(2024). Toward Feature Engineering with Human and AI's Knowledge: Understanding Data Workers' Perceptions in Human & AI-Assisted Feature Engineering Design. Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI).

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