Chris Johnson Distinguished Professor www.cs.utah.edu/~crj firstname.lastname@example.org
Chris Johnson directs the Scientific Computing and Imaging (SCI) Institute at the University of Utah where he is a Distinguished Professor of Computer Science and holds faculty appointments in the Departments of Physics and Bioengineering. His research interests are in the areas of scientific computing and scientific visualization. Dr. Johnson founded the SCI research group in 1992, which has since grown to become the SCI Institute employing over 175 faculty, staff and students. Professor Johnson serves on several international journal editorial boards, as well as on advisory boards to several national and international research centers. Professor Johnson has received several awards, including the NSF Presidential Faculty Fellow (PFF) award from President Clinton in 1995 and the Governor’s Medal for Science and Technology in 1999. He is a Fellow of the American Institute for Medical and Biological Engineering and a Fellow of the American Association for the Advancement of Science, and in 2009 he was elected a Fellow of the Society for Industrial and Applied Mathematics (SIAM) and received the Utah Cyber Pioneer Award. In 2010 Professor Johnson received the Rosenblatt Award from the University of Utah and the IEEE Visualization Career Award.
Publications Refereed Journals E. W. Bethel, C. Johnson, S. Ahern, J. Bell, P.-T. Bremer, H. Childs, E. Cormier-Michel, M. Day, E. Deines, T. Fogal, C. Garth, C. G. R. Geddes, H. Hagen, B. Hamann, C. Hansen, J. Jacobsen, K. Joy, J. Kruger, J. Meredith, P. Messmer, G. Ostrouchov, V. Pascucci, K. Potter, Prabhat, D. Pugmire, O. Rubel, A. Sanderson, C. Silva, D. Ushizima, G. Weber, B. Whitlock, K. Wu “Occam’s razor and petascale visual data analysis. Journal of Physics: Conference Series, Volume 180, Number 1, 012084, 2009. R. S. MacLeod, J.G. Stinstra, S. Lew, R.T. Whitaker, D.J. Swenson, M.J. Cole, J. Krueger, D.H. Brooks, and C.R. Johnson. “Subject-specific, multiscale simulation of electrophysiology: the software pipeline for image based models and application examples. Philosophical Transactions of the Royal Society A, Jun. 13;367(1896):2293-310, 2009. A.R. Sanderson, M.R. Meyer, R.M. Kirby, and C.R. Johnson. “A Framework for Exploring Numerical Solutions of Advection Reaction Diffusion Equations using a GPU Based Approach. Journal of Computing and Visualization in Science, Vol. 12, pp. 155–170, 2009. H. Martinez, S. Prajapati, C. Estrada, F. Jimenez, I. Wu, A. Bahadur, A. Sanderson, C.R. Johnson, M. Shim, C. Keller, and S. Ahuja. “microCT-based virtual histology for visualization and morphometry of atherosclerosis in diabetic ApoE mutant mice. Circulation, 120:821-822, 2009. J.F. Shepherd, C. R. Johnson, Hexahedral Mesh Generation for Biomedical Models
60 >> 2009 & 2010 REPORT
in SCIRun, Engineering with Computers, vol. 25, issue 1, pp. 97-114, 2009. M. Callahan, M. J. Cole, J.F. Shepherd, J. Stinstra, C. R. Johnson, A Meshing Pipeline for Biomedical Models, Engineering with Computers, vol. 25, issue 1, pp. 115-130, 2009. K. Potter, J.M. Kniss, R. Riesenfeld, C.R. Johnson. “Visualizing Summary Statistics and Uncertainty,” In Computer Graphics Forum, Proceedings of Eurovis 2010, Vol. 29, No. 3, pp. 823--831. 2010. A.A. Samsonov, J.V. Velikina, Y.K. Jung, E.G. Kholmovski, C.R. Johnson, and W.F. Block. POCS-enhanced correction of motion artifacts in parallel MRI. Magnetic Resonance in Medicine, Volume 63, Issue 4, pages 1104–1110, May 2010. Refereed Conference and Workshops D.F. Wang, R.M. Kirby, C.R. Johnson. “Resolution Strategies for the Finite-ElementBased Solution of the ECG Inverse Problem,” In IEEE Transactions on Biomedical Engineering, Vol. 57, No. 2, pp. 220--237. February, 2010. K. Potter, A. Wilson, P. Bremer, D. Williams, C. Doutriaux, V. Pascucci, and C.R. Johnson. “Visualization of uncertainty and ensemble data: Exploration of climate modeling and weather forecast data with integrated ViSUS-CDAT systems. Proceedings of the 2009 IEEE International Conference on Data Mining Workshop on Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts, pp. 233-240, 2009. Book Chapters C. Hansen, C.R. Johnson, V. Pascucci, and C. Silva. “Visualization for Data-Intensive Science. In The Fourth Paradigm: Data-Intensive Science, S. Tansley, T. Hey, and K. Tolle, eds. pp. 153-164, 2009. Invited Talks & Presentation Biomedical Visualization, Oxford University, December 2010 Visualizing Uncertainty, Future Directions in Uncertainty Quantification, Santa Fe, November 2010 Visual Computing: Making Sense of a Complex World, Bucknell University, Lewisburg, October 2010 (Emerging Minds Series) Image-Based Biomedical Modeling, Simulation, and Visualization, IEEE Cluster 2010, Crete, Greece, September 2010 (Keynote Speaker) Extreme-Scale Biomedical Visualization, ICiS Workshop: Future of the Field,