Areas of Expertise (9)
3-D interaction technologies.
Technology-Enhanced Learning
Machine Learning for HCI
Assistive Technology
AI for parents of deaf children
AI
Computer-Supported Collaborative Work
AR / VR
Human-Computer Interaction
Media
Publications:
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Audio/Podcasts:
Links (2)
Biography
Bai's research focuses on creating embodied and intelligent interfaces that transcend learning, communication and wellbeing for people with diverse abilities and backgrounds. Research fields that she has explored so far include human-computer interaction, augmented reality, tangible user interface, embodied conversational agent, technology-enhanced collaborative learning, and assistive technology. Her work is published in premier human-computer interaction and learning science conferences such as CHI, ISMAR, IDC, IVA, and AIED, with two best paper nomination awards.
Education (1)
University of Cambridge: PhD, Graphics and Interaction Group
Selected Media Appearances (3)
High school students learn the power and ethics of AI at University of Rochester summer camp
WHEC 10 tv
2024-07-12
Dr. Zhen “Jen” Bai is leading the research. She says the takeaway is awareness. “I mean technology, no matter or not, you learn it in the classroom. It’s around us and it really impacting our daily decisions,” said Dr. Bai.
New training in AR/VR tech gives Rochester doctoral students an edge
University of Rochester online
2019-09-18
The grant will enable 62 doctoral students to be trained in the skills needed to advance AR/VR technologies and will also help them gain an appreciation for the broader cultural and societal implications of the technologies, says Mujdat Cetin, the principal investigator behind the grant. Other Rochester faculty supporting this initiative are Jannick Rolland, the Brian J. Thompson Professor of Optical Engineering; Michele Rucci, professor of brain and cognitive sciences; and Zhen Bai, assistant professor of computer science.
Seed funding reflects how data science, AR/VR transform research at Rochester
University of Rochester online
2022-10-17
The 2022–23 funded projects and their principal investigators are: Building a Multi-Step Commonsense Reasoning System for Story Understanding Co-PIs: Zhen Bai, assistant professor of computer science, and Lenhart Schubert, professor of computer science
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