图形可视化和VR AR哲学博士

马里兰大学的图形和视觉信息实验室（GVIL）由计算机科学系和马里兰大学的高级计算机研究所于2000年成立，旨在促进计算机图形，科学可视化和虚拟环境的研究和教育。在这里，我们致力于提高视觉计算应用在科学，工程和医学领域的效率和可用性。该实验室的研究范围包括设计算法和数据结构，以协调非常大的图形数据集的真实性和交互性，利用视觉显着性原理构建视觉注意力管理工具，构建可在内存和网络层次结构中快速访问分布式图形数据集的系统，并研究异构显示和渲染设备对视觉计算管道的影响。实验室的活动涉及视觉计算工具和技术的开发，以支
The Computer Science Department's graduate program is ranked among the top in the nation and in the top ten among public universities. Both M.S. and Ph.D degrees are offered, and almost all full-time students receive financial aid in the form of assistantships, fellowships, and grants. The Department has strong research programs in the following areas: artificial intelligence, computer systems and networking, database systems, programming languages, software engineering, scientific computing, algorithms and computation theory, computer vision, geometric computing, graphics, human-computer interaction, and bioinformatics.<br><br>The University of Maryland's Graphics and Visual Informatics Laboratory (GVIL) was established in 2000 by the Department of Computer Science and the University of Maryland Institute for Advanced Computer Studies to promote research and education in computer graphics, scientific visualization, and virtual environments. Here, we work to improve the efficiency and usability of visual computing applications in science, engineering, and medicine. The scope of this laboratory's research covers design of algorithms and data structures for reconciling realism and interactivity for very large graphics datasets, leveraging principles of visual saliency for architecting visual attention management tools, building systems for rapid access to distributed graphics datasets across memory and network hierarchies, and study of the influence of heterogeneous display and rendering devices over the visual computing pipeline. The activities of the laboratory involve development of visual computing tools and technologies to support the following research-driving applications: protein folding and rational drug design, navigation and interaction with mechanical CAD datasets, and ubiquitous access to distributed three-dimensional graphics datasets.