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Guest Editors' Introduction: Special Section on Volume Graphics and Point-Based Graphics

Hans-Christian Hege
David H. Laidlaw, IEEE
Raghu Machiraju

Pages: pp. 531-532

About the Authors

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Hans-Christian Hege is head of the Visualization and Data Analysis Department at Zuse Institute Berlin (ZIB). After studying physics and mathematics, he performed research in computational physics and quantum field theory at Freie Universität Berlin (1984-1989). Then, he joined ZIB, initially as a scientific consultant for high-performance computing and then as head of the Scientific Visualization Department, which he started in 1991. His group performs research in visual data analysis and develops visualization software such as Amira and Biosphere3D. He is also cofounder of Mental Images (1986), Indeed-Visual Concepts (1999) (now Visage Imaging), and Lenné3D (2005). He taught as a guest professor at Universitat Pompeu Fabra, Barcelona, and as a honorary professor at the German Film School (University for Digital Media Production). His research interests include visual computing and applications in natural sciences, life sciences, and engineering.
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David H. Laidlaw received the PhD degree from Caltech in computer science, where his research centered around how to extract geometric geometric information from volumetric magnetic resonance imaging data and how to optimally acquire such data. He then did three years of postdoctoral research in the Caltech Division of Biology applying image and acquisition results to help advance research in developmental neurobiology. He is a professor of computer science at Brown University. Dr. Laidlaw has published more than 70 peer-reviewed journal and conference papers, has served on or cochaired dozens of conference committees, and has been an associate editor of the IEEE Transactions on Visualization and Computer Graphics ( TVCG). He has been a recipient of several best-poster, best-case-study, and best-panel awards from IEEE Visualization, two best-student-poster awards from ACM SIGGRAPH, placed first with a collaborative submission to the 2008 US National Science Foundation (NSF)/Science International Science and Engineering Visualization Challenge, and received the 2008 IEEE/VGTC Visualization Technical Achievement Award. He is a senior member of the IEEE.
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Raghu Machiraju serves on the faculty of computer science and engineering at The Ohio State University. He has also received appointments at the Comprehensive Cancer Center and the Department of Radiology. His main interests include developing visualization techniques in the biological sciences.
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