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

• 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

• Distinguished Teaching Award at the University of San Francisco for 2014-2015.
• Best Panel Award at the IEEE Visualization 2010 conference for the panel “Perspectives on teaching data visualization”. Co-Panelists were Tamara Munzner, Gordon Kindlmann, Daniel Keefe, Jason Dykes.
• Best Panel Award at the IEEE Visualization 2009 conference for the panel “New faculty and postdoctoral fellows spill the beans”. Co-Panelists were Jeffrey Heer, Gordon Kindlmann, Miriah Meyer.

• Firat, Elif E., Alark Joshi, and Robert S. Laramee. "Interactive visualization literacy: The state-of-the-art." Information Visualization 21, no. 3 (2022): 285-310.
• Evaluating Bloom's Taxonomy-based Learning Modules for Parallel Coordinates Literacy, Ilena Peng, Elif Firat, Robert Laramee, Alark Joshi, Eurographics Conference (Education Track), 2022.
• Helping Academically Talented STEM Students with Financial Need Succeed, Amruth N Kumar, Maureen Doyle, Victoria Hong, Alark Joshi, Stan Kurkovsky, Sami Rollins, IEEE Frontiers in Education Conference (FIE), 2021.
• Barajas, Daniel, Xornam Apedoe, David Guy Brizan, Alark Joshi, and Sophie Engle. "Lessons Learned from Quantitatively Exploring Visualization Rubric Utilization for Peer Feedback." IEEE Computer Graphics and Applications (2022).
• AGAMI: Scalable Visual Analytics over Multidimensional Data Streams, Mingxin Lu, Edmund Wong, Daniel Barajas, Xiaochen Li, Mosopefoluwa Ogundipe, Nate Wilson, Pragya Garg, Alark Joshi, Matthew Malensek, IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) conference, 2020.