Kaur's research areas are human-centered artificial intelligence (AI), explainability and interpretability, and hybrid intelligence systems. She studies these areas in two ways: (1) critically evaluating existing systems and tools on meeting their intended goals; and (2) designing and building new systems that leverage human-centered cognitive, social, and organizational norms for human-machine collaboration. She applies these methods in a variety of domains, including exploratory data analysis, workplace wellbeing and productivity, knowledge search and sensemaking.

Research Division
Human-Centered Computing

Current Research
Google Scholar
GroupLens Research Lab

Education

Ph.D. in Computer Science and Information, University of Michigan (2023) 
M.S. in Computer Science and Engineering, University of Michigan (2019) 
B.S. in Computer Science, University of Minnesota (2016)

Professional Background

Harmanpreet Kaur joined the Department of Computer Science & Engineering in fall 2023 as an assistant professor. She is a University of Minnesota alumni (B.S., 2016) and earned her M.S. (2019) in computer science and engineering and Ph.D. (2023) in computer science and information from the University of Michigan. Prior to joining the University, Kaur served as a graduate researcher in the Interactive Systems Lab (CSE) and comp.social Lab (SI) at the University of Michigan.

Recent News

Meet the Faculty - Harmanpreet Kaur

Teaching Subjects

• Human-Centered Artificial Intelligence
• Human-Computer Interaction
• Social Computing