Scholar
Alark Joshi
Google Scholar ID: iUeg1KgAAAAJ
Professor of Computer Science, University of San Francisco
Citations & Impact
Citations
610
H-index
12
i10-index
17
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Published papers include 'Case study on visualizing hurricanes using illustration-inspired techniques' (IEEE TVCG, 2008), 'Examining a PCP Intervention through the Anderson and Krathwohl Taxonomy Lens' (EduVis '25), 'Applying Self-Regulated Learning Principles in an Undergraduate Computer Science Seminar' (FIE '25), and more. Also received funding for the 'AI Coaching for Health and Well-Being' project from the CRASE Interdisciplinary Action Group (IAG) at USF.
Research Experience
- Currently a Professor in the Department of Computer Science at the University of San Francisco. Research focuses on developing and evaluating the ability of novel visualization techniques to communicate information for effective decision making and discovery. Received postdoctoral training at Yale University, where he was a core member of the BioImage Suite team, whose mission is to develop and disseminate advanced image analysis and visualization software for widespread use.
Education
- Ph.D. in Computer Science from UMBC (2007); M.S. in Computer Science from UMD (2001); B.E. in Computer Engineering from PICT, India (1999).
Background
- Research Interests: Data Visualization, with an emphasis on mobile data visualization and visualization literacy. Background: In the field of Mobile Data Visualization, developed novel techniques to provide context to viewers as they explore data on small screens; in the visualization literacy field, explored the use of Bloom’s taxonomy to introduce individuals to unfamiliar visualization techniques such as Treemaps and Parallel Coordinates Plots.
