Alark Joshi

Alark Joshi works on data visualization projects for improved neurosurgical planning and treatment. His research focuses on developing and evaluating the ability of novel visualization techniques to communicate information for effective decision making and discovery. His work has led to novel visualization techniques in fields as diverse as computational fluid dynamics, atmospheric physics, medical imaging and cell biology. Alark received his PhD from the University of Maryland, was a Postdoctoral Associate at Yale University, and most recently a professor at Boise State University.

• Visualization literacy
• Data visualization
• Computer graphics

• Visualization literacy
• Mobile data visualization
• Collaborative data visualization

• Department Chair, Computer Science (2020-2023)

• University of Maryland Baltimore County, PhD in Computer Science, 2007
• University of Minnesota, MS in Computer Science, 2001
• Pune Institute of Computer Technology, University of Pune, BE in Computer Engineering, 1999

• Assistant Professor, Boise State University 2010-2012
• Postdoctoral Associate, Yale University 2007-2010

• Collective Achievement Award in the College of Arts and Science at the University of San Francisco (2024) 
• Full-Time Faculty Service Award in the College of Arts and Sciences at the University of San Francisco (2023)
• Sabbatical Research Award from the Provost's Office at the University of San Francisco (2020)
• Distinguished Teaching Award at the University of San Francisco for (2015)

• Firat, E. E., Srinivas, C., Lang C., Srinivas, B., Laramee, R. S., Joshi, A. (2025). Evaluating the Impact of a Constructivist Approach to Treemap Literacy. IEEE Computer Graphics and Applications, 45(1), 139–147.
• Srinivas, C., Kenia, B., Urgo, K., Firat E. E., Laramee R. S., Joshi A. (2025). Examining a PCP Intervention through the Anderson and Krathwohl Taxonomy Lens, In the Proceedings of the IEEE VIS Workshop on Visualization Education, Literacy, and Activities, 2025.
• Engle, S., Urgo, K., Joshi A. (2025). Applying Self-Regulated Learning Principles in an Undergraduate Computer Science Seminar, In the Proceedings of the IEEE Frontiers in Education (FIE), 2025.