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David H. Laidlaw
Professor of Computer ScienceContact Information
Box 1910Brown University
Providence, RI 02912
Email: dhl at cs.brown.edu
Personal home page: http://www.cs.brown.edu/~dhl/
Research Areas
| Computational Neuroscience |
| Computer Graphics |
| Scientific Visualization and Modeling |
| User Interfaces and Virtual Reality |
| Computational Biology |
Research Themes
| Applications to Medicine |
| Applications to the Natural Sciences |
| Connections between Art and Computer Science |
| Brain Science |
| Virtual Reality |
Research Topics or Projects
Courses Taught
| CSCI1900 | Software System Design | |
| CSCI2370 | Interdisciplinary Scientific Visualization | |
| CSCI1370 | Virtual Reality Design for Science |
Research Interests
David Laidlaw is interested in visualization and modeling applications of computer graphics and computer science to other scientific disciplines. Applications give a real-world direction to computational research and are also compelling because they can provide concrete answers to questions about how our world works. He is working with researchers in, for example, archaeology, developmental neurobiology, medical imaging, orthopaedics, art, cognitive science, remote sensing, and fluid mechanics to develop new computational applications and to understand their strengths and weaknesses. Some applications he is particularly interested in are visualization of multivalued multidimensional imaging data, comparisons of virtual and nonvirtual environments for scientific tasks, and applications of art and perception to visualization.
Selected Publications
Marai, G. E., Laidlaw, D. H., and Crisco, J. J. Super-Resolution Registration Using Tissue-Classified Distance Fields. IEEE Transactions on Medical Imaging 25, 2 (2006), 177-187. [ pdf ]
Kaufman, J. A., Ahrens, E. T., Laidlaw, D. H., Zhang, S., and Allman, J. M. Anatomical analysis of an aye-aye brain (Daubentonia madagascariensis, primates: Prosimii) combining histology, structural magnetic resonance imaging, and diffusion-tensor imaging. Anatomical Record 287A, 1 (Nov. 2005), 1026-1037. [ pdf ]
Laidlaw, D. H., Kirby, M., Jackson, C., Davidson, J. S., Miller, T., DaSilva, M., Warren, W., and Tarr, M. Comparing 2D vector field visualization methods: A user study. Transactions on Visualization and Computer Graphics 11, 1 (Jan. 2005), 59-70. [ pdf ]
Sobel, J., Forsberg, A., Laidlaw, D. H., Zeleznik, R., Keefe, D., Pivkin, I., Karniadakis, G., Richardson, P., and Swartz, S. Particle Flurries: Synoptic 3D Pulsatile Flow Visualization. IEEE Computer Graphics and Applications 24, 2 (Mar. 2004), 76-85.
Vote, E., Acevedo, D., Laidlaw, D. H., and Joukowsky, M. Discovering Petra: Archaeological Analysis in VR. IEEE Computer Graphics and Applications 22, 5 (Sept. 2002), 38-50.
van Dam, A., Laidlaw, D. H., and Simpson, R. M. Experiments in Immersive Virtual Reality for Scientific Visualization. Computers and Graphics 26, 4 (Aug. 2002), 535-555. [ pdf ]
Laidlaw, D. H. Loose, Artistic ”Textures” for Visualization. IEEE Computer Graphics and Applications 21, 2 (Mar. 2001), 6-9.
van Dam, A., Forsberg, A. S., Laidlaw, D. H., Jr., J. J. L., and Simpson, R. M. Immersive VR for Scientific Visualization: A Progress Report. IEEE Computer Graphics and Applications 20, 6 (Nov. 2000), 26-52. [ pdf ]
Laidlaw, D. H., Fleischer, K. W., and Barr, A. H. Partial-Volume Bayesian Classification of Material Mixtures in MR Volume Data Using Voxel Histograms. IEEE Transactions on Medical Imaging 17, 1 (Feb. 1998), 74-86. [ pdf ]
Upson, C., Jr., T. F., Kamins, D., Laidlaw, D. H., Schlegel, D., Vroom, J., Gurwitz, R., and van Dam, A. The Application Visualization System: A Computational Environment for Scientific Visualization. Computer Graphics and Applications 9, 4 (July 1989), 30-42. [ pdf ]
All publications by David H. Laidlaw
| Page Owner: David H. Laidlaw | Last Modified: Fri Jan 23 12:17:14 2009 |