Issue No.01 - January (2012 vol.18)
Published by the IEEE Computer Society
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.8
The IEEE Computer Society’s policy limits the terms of the members of its Editorial Boards. This allows new people and expertise to come in and benefits the growth and vitality of the journal. The success of the journal relies on the quality of the submissions and reviews, and the work of the associate editors. The dedication of associate editors is essential to the continuing growth of the journal.
On behalf of the IEEE Computer Society and the IEEE Transactions on Visualization and Computer Graphics ( TVCG)’s Editorial Board, it is my pleasure to introduce Frank van Ham, Raghu Machiraju, and Silvia Miksch, who have recently joined the TVCG Editorial Board as Associate Editors. Below are the biographical sketches listing their accomplishments and areas of expertise. The TVCG Editorial Board is pleased to welcome these outstanding researchers to their new role.
Ming C. Lin
Frank van Ham received the PhD and Msc degrees in computer science from the Eindhoven University of Technology. He is a research staff member at IBM. His main research interests are large network visualization, visual information interfaces, and collaborative visualization. Currently, he is embedded within ILOG in Paris, France, where he works on improving the visualization capabilities of IBM product. He has previously acted as paper cochair for the IEEE Conference on Information Visualization in both 2010 and 2011, and has served as guest editor for IEEE Computer Graphics and Applications.
Raghu Machiraju is an associate professor of computer science and engineering at The Ohio State University (OSU). He holds appointments at The Center for Solid Tumor Biology and Wright Center for Innovations in Imaging at the OSU Medical Center. His main topics of research include the visualization and analysis of data from the medical and flow domains. He is especially interested in the robust detection of structures in high-dimensional data and the associated group-wise studies of large ensembles of 3D and 4D data. He resorts to the use of machine learning in much of his recent research and incorporates domain-specific knowledge in his methodology. His research is very collaborative and interdisciplinary in nature. He has mentored 13 doctoral students to date. His more recent advisees secured positions in institutions of medical research and learning. He has served as the general chair of the IEEE Visweek Conference during the years 2008 and 2009. Additionally, he has been serving as a Paper Chair of the IEEE Visualization Conference for the years 2010 and 2011. He also serves as the general chair of the First IEEE Symposium on Biological Data Visualization (BioVis). Much of his research has been supported by the US National Science Foundation (NSF), The National Institutes of Health, and the US Department of Defense.
Silvia Miksch has been head of the Information and Knowledge Engineering research group, Institute of Software Technology & Interactive Systems, Vienna University of Technology, since 1998. From 2006 to 2010, she was 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 has 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. She reviewed for several scientific journals, belongs to the editorial board of Artificial Intelligence in Medicine ( AIM-J, Elsevier) and AI Communications ( AICOM, IOS Press), and served as guest editor for Artificial Intelligence in Medicine (Elsevier), 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 for time-oriented data and process management.
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