Dr. Ronak Etemadpour's Research Information Series presentation focused on similarity-based layouts generated by multi-dimensional projections or other dimension reduction techniques and how they are commonly used to visualize high dimensional data.
Recently, many projection techniques have been proposed to address different objectives and application domains. Nonetheless, very little is known about the effectiveness of the generated layouts from a user’s perspective; how distinct layouts from the same data compare regarding the typical visualization tasks they support; or, how domain-specific issues affect the outcome of the techniques. Learning more about projection usage is an important step towards both consolidating their role in high dimensional data analysis & taking informed decisions when choosing techniques. This work provides a contribution towards this goal.
Dr. Etemadpour obtained her PhD in Computer Science from Jacobs University Bremen, Bremen, Germany. She completed her postdoctoral research at Creative Coding Lab at The University of Arizona.
Ronak Etemadpour, Ph.D
Assistant Professor, Computer Science
Wednesday November 16th, 2017 12-1:15PM
Steinman Hall Exhibit Room –ST124