Command, Control and Interoperability Center for Advanced Data Analysis – CCICADA Research Group Lab Meeting -Thursday, June 8, 2017


Command, Control and Interoperability Center for Advanced Data Analysis – CCICADA Research Group Lab Meeting

Date/Time:  Thursday, June 8, 2017/12:15pm to 1:00pm

Location:  4th Floor Conference Room – 433, Computing Research & Education Building (CoRE), Busch Campus, Rutgers, the State University


Georges Grinstein, Computer Science Department and Center for Data Science, UMass Amherst

Visual Analytics: A Modern View of its Future and Research Opportunities

Big data comes in many forms: millions of variables, billions of records, large document, image, audio and video collections, real-time sensor feeds, and of course combinations of these.  Big data has many descriptive definitions including the classic three, four or five Vs (volume, velocity, variety, veracity, value). Add complexity in data and tasks, and we now have numerous implications for visual analytics one of which is that decisions need to be made rapidly, often in seconds or minutes (think trading on the stock market or air traffic sensor feeds). The human is now in trouble and we are not un-similar to primitive man with primitive tools.

Scientific Data Visualization, Information Visualization and Visual Analytics share the same pipeline aimed at data to human consumption: start with data, analyze that data, and produce visual representations on various interactive media and for diverse applications. There are some minor differences but all in all they’re quite similar.  All three have very analogous Grand Challenges (scalability, developing a theory, streaming visualizations, computing the best presentation, etc…).  I’ve spoken on such and other grand challenges in each of these areas over the last 30 years, identifying what wicked problems really need to be addressed and which key problems would have tremendous impact.

In this talk I will provide an alternative and expanded view. I’ll provide a very rapid overview of key issues with humans, interactive visualization and visual analytics, and highlight several points which need to be addressed (think research opportunities). I will present three related challenges I am currently working on as examples: ultra high dimensional interactive data visualization; visualization theory; and coupled interactive visualization and machine learning.

Brief Bio:

Georges Grinstein is a new member of the UMass Amherst Computer Science Department and Center for Data Science. Prior to his joining UMass he was Professor of Computer Science at the UMass Lowell, head of its Bioinformatics Program and Director of its Institute for Visualization and Perception Research. He received his Ph.D. in Mathematics from the University of Rochester.

Well-known in the visualization community, Dr. Grinstein is an IEEE Visualization Pioneer, routinely serves as Chair or Co-Chair for major visualization and visual-analytics related conferences and review panels, and provides tutorials and training sessions many times per year.  He has had over 300 research grants, products in use nationally and internationally, several patents, numerous publications in journals and conferences, co-authored several textbooks on visualization and visual analytics, founded several companies, directed the development of Weave, an open source web-based visualization system, and has served as a consultant to NIST, NASA, USAF, PNNL, CDC, IBM, Pfizer among many others and is now with STRATCOM, Serono/Merck and Bristol Meyers Squibb. 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, is a member of ANSI and ISO, and a NATO Expert.

For the last ten years he has co-chaired the IEEE VAST Challenges in visual analytics focusing on critical research needs, been a member of the DHS’s Security’s Center of Excellence CCICADA (Command, Control and Interoperability Center for Advanced Data Analysis) and is now centering his research activities on developing cognitively integrative visualizations and visual analytics systems.

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