Guest Editors' Introduction: Special Section on the IEEE Conference on Visual Analytics Science and Technology (VAST)
• S. Miksch is with the Vienna University of Technology, Faculty of Informatics, Institute of Software Technology and Interactive Systems (ISIS), Favoritenstrasse 9-11/188, A-1040 Vienna, Austria.
• M. Ward is with the Computer Science Department, Worcester Polytechnic Institute, 100 Institute Rd., Worcester, MA 01609.
For information on obtaining reprints of this article, please send e-mail to: email@example.com.
Silvia Miksch is an associate professor and head of the Information and Knowledge Engineering research group, Institute of Software Technology & Interactive Systems, Vienna University of Technology. From 2006 to 2010, she was a professor and head of the Department of Information and Knowledge Engineering at Danube University Krems, Austria. In April 2010, she established the awarded Laura Bassi Centre of Expertise “CVAST—Center for Visual Analytics Science and Technology (Design, Interact & Explore)” funded by the Federal Ministry of Economy, Family and Youth of the Republic of Austria. She has acquired, led, and been involved in several national and international research projects. She has served on various program committees of international scientific conferences and was, for example, conference paper cochair of the IEEE Conferences on Visual Analytics Science and Technology (IEEE VAST 2010 and 2011) at VisWeek and Eurographics/IEEE Conference on Visualization (EuroVis 2012). She has reviewed for several scientific journals, belongs to the editorial board of Artificial Intelligence in Medicine ( AIM-J, Elsevier), AI Communications ( AICOM, IOS Press), and the IEEE Transactions on Visualization and Computer Graphics ( TVCG, IEEE CS) and served as a guest editor for Artificial Intelligence in Medicine (Elsevier), the IEEE Transactions on Visualization and Computer Graphics ( TVCG, IEEE CS), and Information Visualization ( IV, Palgrave Macmillan/SAGE). Her main research interests are information visualization and visual analytics (in particular, focus+context and interaction methods), process and plan management, interaction design, user-centered design, and time. For more information, see http://www.ifs.tuwien.ac.at/~silvia/.
Matthew Ward received the BS degree in computer science from Worcester Polytechnic Institute in 1977 and the MS and PhD degrees in computer science from the University of Connecticut in 1979 and 1981, respectively. He is currently a full professor in the Computer Science Department at Worcester Polytechnic Institute (WPI). He was employed as a Member of the Technical Staff in the Robotics and Computer Systems Research Laboratory at AT&T Bell Laboratories between 1980 and 1984 and as a research scientist at Skantek Corporation until 1986, when he joined the faculty at WPI. His research interests include data and information visualization, visual analytics, scientific data management and analysis, and knowledge-guided image analysis. He has authored or coauthored more than 100 papers and several book chapters in these areas, and has recently completed a textbook on interactive data visualization with coauthors Georges Grinstein and Daniel Keim. He is the chief architect of several public domain visualization packages, most notably XmdvTool, which has been under constant development since 1994. He has served as an associate editor of the IEEE Transactions on Visualization and Computer Graphics and is currently an associate editor of the Information Visualization Journal. He is a member of the IEEE Visualization Executive Committee and the InfoVis Conference Steering Committee, and is the Conference Chair for the 2013 VAST Conference. He has served on the organizing committees for the IEEE Visualization and Information Visualization Conferences, and the program committees for virtually all major conferences in the area of data and information visualization.