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.

• Data visualization
• Computer Science Education

• Data visualization on mobile devices
• Foveated visualization
• Animation in data visualization
• Improved neurosurgical planning and treatment

• 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.

• Thanawut Ananpiriyakul, Josh Anghel, Kristi Potter, and Alark Joshi, "A Gaze-Contingent System for Foveated Multiresolution Visualization of Vector and Volumetric Data", in Electronic Imaging, 2020(1), 678-687, January 2020.
• Alark Joshi, Amit Jain, Ernie Covelli, Tim Andersen, Jyh-haw Yeh, "IDoCode: A Sustainable Model for High-School Teacher Preparation in Idaho," Frontiers in Education 2019.
• Helen Chen, Sophie Engle, Alark Joshi, Eric D. Ragan, Beste F. Yuksel, and Lane Harrison, "Using Animation to Alleviate Overdraw in Multiclass Scatterplot Matrices", in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI 2018), ACM, New York, NY, USA, April 2018.
• Engle, Sophie, Sean Whalen, Alark Joshi, and Katherine S. Pollard. "Unboxing cluster heatmaps." BMC bioinformatics 18, no. 2 (2017): 63.