Talha Khan, Ph.D.
Assistant Professor, Department of Information Sciences and Technologies
Email: [email protected]
Phone: 616-331-7739
Office: DCIH 530J
Education
Ph.D. in Computer Science, University of Pittsburgh, 2020
Semester Schedule
Other office hours by appointment only.
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Day |
Session Title |
Time |
Location |
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Monday |
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Tuesday |
CIS 162 - 30 Lab |
4:00 P.M. - 5:50 P.M. |
Online |
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Wednesday |
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Thursday |
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Friday |
Additional Courses
Asynchronous Courses: CIS 162 - 30 (Hybrid Lab)
Biography
Dr. Talha Khan is an Assistant Professor in the College of Computing at Grand Valley State University, specializing in mixed reality, human-computer interaction (HCI), and user-centered design. His research explores how users interact with MR environments, focusing on surgical applications, in-home sensing, and AI-driven interfaces. He integrates mixed reality, computer vision, and usability research to create more intuitive and accessible systems. His award-winning work has been published in leading venues such as IEEE ISMAR. Dr. Khan has held research positions at the Toyota Research Institute and Carnegie Mellon University. His teaching interests include HCI, programming, interaction design, and emerging technologies.
Recent Publications
- Evolution of the meta-neurosurgeon: A systematic review of the current technical capabilities, limitations, and ap-
plications of augmented reality in neurosurgery
Nikhil Sharma, Arka Mallela, Talha Khan, Stephen Paul Canton, Nicol´ as Kass, Fritz Steuer, Jacquelyn Jardini, Jacob
Biehl, Edward Andrews.
Surgical Neurology International 2024 - Future of Surgical Mixed Reality: Cutting-Edge or Cutting Too Deep?
Talha Khan, Edward Andrews, Jacob Biehl
IEEE VRW 2024 - EndovasculAR: Utility of Mixed Reality to Segment Large Displays in Surgical Settings
Griffin Hurt, Talha Khan, Michael Kann, Edward Andrews, Jacob Biehl
IEEE VRW 2024 - Don’t Block My Stuff: Fostering Personal Object Awareness in Multi-user Mixed Reality Environments
Talha Khan, David Lindlbauer
PACM HCI (ACM ISS 2024) - Understanding Perceived Utility and Comfort of In-Home General-Purpose Sensing through Progressive Exposure
Pranut Jain, Andrew Xu, Thomas Downes, Injung Kim, Talha Khan, Jacob Biehl, Adam Lee.
PACM HCI (ACM CSCW 2024) - Understanding Effects of Visual Feedback Delay in AR on Fine Motor Surgical Tasks
Talha Khan, Toby Zhu, Thomas Downes, Lucille Cheng, Nicol´ as Kass, Edward Andrews, Jacob Biehl.
IEEE TVCG (ISMAR 2023) Best Paper Award