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Opportunities for Collaborative Research in Visual Analytics

06 Feb
Monday, 02/06/2017 4:00pm to 5:00pm
Computer Science Building, Room 151
Seminar

Abstract:  My personal research interests are broad and all centered around visualization. Thus they involve humans, machines and analytics (your expertise). That is the three-legged stool for visual analytics and my research as well.

In this talk I will describe a few more focused topics that I believe are opportunistic for joint research with the CICS community. In increasing order of complexity:
 

  1. Visualization in service of analytics (let me see, insight, ultra high dimensional data - millions of variables, infomaps, improve my models, ...)
  2. Analytics in service of visualization (what is the best visualization for ..., improve this visualization, human situational awareness, explain this model please, ...)
  3. Measuring truth(s) (who's lying, how, identify why, fix it, ...)
  4. Cognitively enhanced visualizations (manipulative visualizations, assistive visualizations, the new CHI - Computer Human Integration, ...)
  5. A theory of visualization (what is the best visualization for, how much information did my interaction provide, ...)

 
In each case, the key research interest will be described with some application examples to decision-making, health sciences, drug pre and post discovery, cyber and security, health sciences and social sciences.
 
I will dig into two of them in depth to provide you with a sense of their challenges and where they can enrich your own research. I will also briefly describe the collaborative points for the others.
 
Bio: Georges Grinstein received his Ph.D. in Mathematics from the University of Rochester in 1978. His work is broad and interdisciplinary, covering the perceptual and cognitive foundations of visualization, very high-dimensional data visualization, visual analytics, and applications of visualization, all focused on the modeling, analysis, visualization and presentation of complex information with the goal to optimize human understanding, learning, memory, impact, interpretation, and decision-making. His most current work is goal directed cognition of static and interactive visualizations.
He has had over 40 years in academia with extensive consulting, over 300 research grants, products in use nationally and internationally, several patents, several hundred publications in journals and conferences, books on data visualization, founded several companies, been the organizer or chair of national and international conferences and workshops in Computer Graphics, in Visualization, and in Data Mining. He has given numerous keynotes and mentored over 40 doctoral students and hundreds of graduate students. He has been on the editorial boards of several journals in Computer Graphics and Data Mining, was a co-founder of the IEEE Visualization Conference, a member of ANSI and ISO, a NATO Expert, and a technology consultant for numerous government agencies and commercial organizations.
For the last ten years he has co-chaired the IEEE VAST Challenges in visual analytics leading to new research areas and is a member of the Department of Homeland Security's Center of Excellence CCICADA (Command, Control and Interoperability Center for Advanced Data Analysis). He has developed and taught new courses, one of which Radical Design focused on how to develop radical new products instead of evolutionary ones.