Speaker: Alark Joshi, Associate Professor in the Department of Computer Science at the University of San Francisco

Abstract: As datasets get larger, it has become increasingly important to manage visual attention and augment cognition. My research has focused on developing novel techniques to draw a viewer’s attention to regions of interest in large datasets. These techniques are specifically designed to increase the efficient completion of tasks and to improve the user experience. In this talk, I will present my approaches to solving real-world problems in the fields of atmospheric physics, neurosurgery and mobile data visualization. Our techniques provide temporal context to atmospheric physicists for improved hurricane exploration. I will also present augmented visualization techniques for image-guided navigation during neurosurgery that have resulted in an increased accuracy and confidence among neurosurgeons as compared to the state-of-the-art. I will also present new work from our lab on foveated visualization for rapid exploration that addresses computational complexity when visualizing large datasets.

Biography: Alark Joshi Alark Joshi is an Associate Professor in the Department of Computer Science at the University of San Francisco, where he 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. He received his postdoctoral training at Yale University and Ph.D in Computer Science from the University of Maryland Baltimore County.