About Me
My research is in the field of HCI with a broad focus on Human-AI Interaction, Explainable AI, and Responsible AI. I specialize in the design and evaluation of AI explanation mechanisms that can help develop or improve AI literacy of end-users who lack computer science backgrounds. This could help such end-users critically reflect on strengths and limitations of AI-based systems, and help them decide when and how to use such computational technology.
In addition to leading a research lab, I also lead the MIDAS AI Sandbox, a hands-on learning space where faculty, researchers, and staff across campus can explore and experiment with real AI tools.
My work has been recognized with an NSF CAREER award, and best paper and honorable mention awards at premier HCI conferences.
Before joining the Computer Science & Engineering department at the University of Michigan as a faculty, I received my Ph.D. degree from the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, and my B.Sc. and M.Sc. degrees from the Department of Computer Science at the University of Toronto.
For more information, see my Curriculum Vitae (CV).
Announcements
Students, I will never email you to offer you research employment if you did not apply for or inquire about a research position with me or the department first. Any such emails are likely Job Offer Scam.
Advising
Current Doctoral Students
Jaewoong Choi
Current Master's Students
Carol Kang
Graduated Doctoral Students
Past Postdoctoral Fellows
Somayeh Molaei
Past Masters Students
Anmol Mansingh
Zhuoran (Jim) Yang
Aditya Ramesh
Past Undergraduate Students
- Hermela Berehan Benyam
- Trisha Dani
Zhe Chen
Leyao (Hannah) Yang
Caitlin Henning
Sabrina Tobar Thommel- Keylonnie Miller
Past Graduate Visiting Scholars
Past Undergraduate Visiting Scholars
Sitara Baxendale
Teaching (Active Courses)
CSE 593 - Human-Computer Interaction
Principles (e.g., human-centered systems design, usability, accessibility) and methods (e.g., requirements gathering, functional prototyping, user study evaluation) of technical Human-Computer Interaction (HCI) research. Survey of HCI research threads including Human-AI Interaction, Social Computing, Behavior Modeling, Education Technologies. Group assignments give students exposure to HCI research methods. Prerequisites: Graduate standing; or permission from instructor.
EECS 493 - User Interface Development
Concepts and techniques for designing computer system user interfaces to be easy to learn and use, with an introduction to their implementation. Task analysis, design of functionality, display and interaction design, and usability evaluation. Interface programming using an object-oriented application framework. Fluency in a standard object-oriented programming language is assumed. Prerequisites: EECS 281 or graduate standing in CSE. Minimum grade of “C” required for enforced prerequisite.
Publications
For a complete list of publications organized by category, please see my Curriculum Vitae (CV).
Loading publications...