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The Killam Lecture Series 2011: Visualizing Information

  • 28 Oct 2011
  • 7:00 PM
  • Scotiabank Auditorium, Marion McCain Building, 6135 University Ave, Halifax, NS

The Killam Lecture Series 2011: Visualizing Information

Finding Knowledge in Massive Data


 Daniel A. Keim
Title: Visual Problem Solving: How humans and computers cooperate best
Date: Friday October 28, 7:00pm
Place: Scotiabank Auditorium, Marion McCain Building, Dalhousie University 6135 University Avenue, Halifax
Admission: free
A wine and cheese reception will follow the lecture.

One of the most important challenges of the emerging Information Age is to effectively utilize the immense wealth of data and information acquired, computed and stored by modern information systems. On the one hand, the intelligent use of available data volumes offers a great potential to realize technological progress and business success. On the other hand, there exists the severe danger that users get lost in irrelevant or inappropriately processed and presented information, a problem, which is generally called 'information overload'.

Visual Analytics is an emerging research discipline which tries to develop technologies which appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user. In this talk, we will present visual approaches to problem solving and discuss the challenges of this approach. A diverse set of applications ranging from web content analysis over internet security to financial analysis will be used to exemplify our ideas for visual problem solving.

Daniel A. Keim is full professor and head of the Information Visualization and Data Analysis Research Group at the University of Konstanz, Germany. He has been actively involved in information visualization and data analysis research for about 20 years and developed a number of novel visual analysis techniques for very large data sets with applications to a wide range of application areas including financial analysis, network analysis, geo-spatial analysis, as well as text and multimedia analysis. His research resulted in two recent books "Solving problems with Visual Analytics" and "Interactive Data Visualization" which he both co-authored.
Dr. Keim has been program co-chair of the IEEE InfoVis and IEEE VAST symposia as well as the SIGKDD conference, and he is member of the IEEE InfoVis, IEEE VAST, and EG/IEEE EuroVis steering committees. He is an associate editor of Palgrave’s Information Visualization Journal (since 2001) and the Knowledge and Information System Journal (since 2006), and has been an associate editor of the IEEE Transactions on Visualization and Computer Graphics (1999 – 2004) and the IEEE Transactions on Knowledge and Data Engineering (2002 – 2007). He is coordinator of the German Strategic Research Initiative (SPP) on Scalable Visual Analytics and the scientific coordinator of the EU Coordination Action on Visual Analytics called VisMaster.
Dr. Keim got his Ph.D. and habilitation degrees in computer science from the University of Munich. Before joining the University of Konstanz, Dr. Keim was associate professor at the University of Halle, Germany and Technology Consultant at AT&T Shannon Research Labs, NJ, USA.


Dalhousie University's Dorothy J. Killam Memorial Lecture Series present important and topical issues with an aim to stimulate public support for pre-doctoral and post-doctoral research.  All are welcome to attend. The 2011 Killam Memorial Lectures are presented by the Faculty of Computer Science at Dalhousie and sponsored by the Killam Trusts.

1301-1809 Barrington Street, Halifax, NS B3J 3K8

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