Profiles
Zhen Bai
Assistant Professor of Computer Science
- Rochester NY UNITED STATES
- Computer Science
Bai is an expert in human-computer interaction, augmented reality, and artificial intelligence (AI)
Areas of Expertise
Media
Social
Links
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, artificial intelligence (AI), 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
University of Cambridge
PhD
Graphics and Interaction Group
Selected Media Appearances
Using AI to advance child development and learning
University of Rochester online
2024-11-14
From tools to help parents of deaf and hard-of-hearing (DHH) children learn American Sign Language (ASL) to interactive games that demystify machine learning, Bai aims to help children benefit from AI and understand how it is impacting them.
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,” Dr. Bai said.
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
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.
