ECE Colloquium Series: "Visual Computing for Big Data"

Location: Jeong H. Kim Engineering Building, Room 1110

Speaker: Amitabh Varshney
Director of Institute for Advanced Computer Studies (UMIACS)
Professor of Computer Science
University of Maryland

Abstract:
Even as scientific datasets have been growing at an exponential rate, the capabilities of the human visual system have remained unchanged. As a result, we have now reached a stage where the current generation datasets can easily overwhelm the limits of human comprehension. Visual scalability is rapidly emerging as one of the grand challenges in scientific data exploration. This has informed much of our recent research in developing saliency-guided techniques for large data visualization and analysis. Most of the time, most of the data is innocuous and unimportant and even considering it wastes precious time and resources. However, current visualization systems effectively assume a default, that every piece of data is equally important. In this talk I shall highlight some of the recent advances in building visualization systems for exploring visualization datasets that leverage the principles of perception of visual salience and machine learning to address the big data challenge.

The Booz, Allen, Hamilton Distinguished ECE Colloquium is sponsored by the Electrical and Computer Engineering Department, University of Maryland, College Park. For more information, visit: www.ece.umd.edu/events/colloquium.