Timeline

Torsten Moeller is a professor at the University of Vienna, Austria, since 2013. Between 1999 and 2012 he served as a Computing Science faculty member at Simon Fraser University, Canada. He received his PhD in Computer and Information Science from Ohio State University in 1999 and a Vordiplom (BSc) in mathematical computer science from Humboldt University of Berlin, Germany. He is a senior member of IEEE and ACM, and a member of Eurographics. His research interests include algorithms and tools for analyzing and displaying data with principles rooted in computer graphics, image processing, visualization and human-computer interaction. He heads the research group of Visualization and Data Analysis. He served as the appointed Vice Chair for Publications of the IEEE Visualization and Graphics Technical Committee (VGTC) between 2003 and 2012. He has served on a number of program committees and has been papers co-chair for IEEE Visualization, EuroVis, Graphics Interface, and the Workshop on Volume Graphics as well as the Visualization track of the 2007 International Symposium on Visual Computing. He has also co-organized the 2004 Workshop on Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration as well as the 2010 Workshop on Sampling and Reconstruction: Applications and Advances at the Banff International Research Station, Canada. He is a co-founding chair of the Symposium on Biological Data Visualization (BioVis). In 2010, he was the recipient of the NSERC DAS award. He received best paper awards from IEEE Conference on Visualization (1997), Symposium on Geometry Processing (2008), and EuroVis (2010), as well as two second best paper awards from EuroVis (2009, 2012).

Dan Keefe is an Associate Professor in the Department of Computer Science and Engineering at the University of Minnesota. His research centers on scientific data visualization and interactive computer graphics. Keefe’s recent awards include the National Science Foundation CAREER award; the University of Minnesota Guillermo E. Borja Award for research and scholarly accomplishments; the University of Minnesota McKnight Land-Grant Professorship; and the 3M Non-tenured Faculty Award. He has received multiple best paper and best panel awards at top international conferences, such as IEEE VIS and ACM Interactive 3D Graphics. His research has been funded by the National Science Foundation, the National Institutes of Health, the National Academies Keck Futures Initiative, and industry sponsors. In addition to his work in computer science, Keefe is also an accomplished artist and has published and exhibited work in top international venues for digital art. Before joining the University of Minnesota, Keefe did post-doctoral work at Brown University jointly with the departments of Computer Science and Ecology and Evolutionary Biology and with the Rhode Island School of Design. He received the Ph.D. in 2007 from Brown University’s Department of Computer Science and the B.S. in Computer Engineering summa cum laude from Tufts University in 1999. Flyer

Wu-Chun (Wu) Feng is the Elizabeth & James E. Turner Fellow & Professor in the Department of Computer Science, Department of Electrical & Computer Engineering, and Virginia Bioinformatics Institute at Virginia Tech. His interests lie broadly at the synergistic intersection of computer architecture, systems software and middleware, and applications software. Most recently, his research has dealt with high-performance networking protocols, dynamic multicore scheduling, accelerator-based computing for bioinformatics, virtual computing, power-aware computing, and bioinformatics in general. He joined Virginia Tech in 2006 after spending seven years at Los Alamos National Laboratory. He is the recipient of three Best Paper Awards in human-computer interaction, high-performance networking, and bioinformatics, respectively, and three R&D 100 Awards in green supercomputing, high-speed networking, and bioinformatics, respectively. He leads the SyNeRGy Laboratory as well as four grass roots projects: The Green500 List, mpiBLAST, Supercomputing in Small Spaces, and MyVICE. Flyer

Dr. Kenneth Moreland is a principal member of technical staff at Sandia National Laboratories. He received the BS degrees in computer science and in electrical engineering from the New Mexico Institute of Mining and Technology in 1997. He received the MS and Ph.D. degrees in computer science from the University of New Mexico in 2000, and 2004, respectively. Dr. Moreland specializes in large-scale visualization and graphics and has played an active role in the development of several HPC products including ParaView, VTK, IceT, and Dax. His current interests the design and development of visualization algorithms and systems to run on multi-core, many-core and future-generation computer hardware. Flyer

Dr. Cecilia Aragon is the director of the Human-Centered Data Science Lab at the University of Washington. Her research focuses on human-centered data science, which concerns itself with both the algorithms and the highly interwoven and multifaceted interactions among individuals, society, and technology that are catalyzed by the enormous growth in data that characterizes the current age. Aragon's research group develops software to facilitate insight into vast and complex data sets, incorporating techniques such as visual analytics (visualization and machine learning), data science, ethnography, and the study of sociotechnical systems including informal text communication and social media. Other projects include the use of computer gaming for collaborative science learning, and topics related to usability and sustainability. She was the architect for Sunfall, a collaborative visual analytics system for supernova astrophysics. She developed an augmented-reality visualization system for helicopter pilots that increased their ability to land safely during simulated hazardous conditions. Her early work was in theoretical computer science. She was the co-inventor (with Raimund Seidel) of the treap, a binary search tree in which each node has both a key and a priority, and the randomized search tree, which uses random priorities in treaps to achieve good average-case performance. With Johnson, McGeoch, and Schevon, she conducted the first extensive evaluation of the simulated annealing algorithm in combinatorial optimization problems. Flyer