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Maneesh Agrawala
Computer Vision Technologist | Class of 2009
Designing visual interfaces that enhance users’ ability to synthesize and comprehend large quantities of complex, digital information.
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Title
Computer Vision Technologist
Affiliation
University of California, Berkeley
Location
Berkeley, California
Age
37 at time of award
Area of Focus
Computer Science and Electrical Engineering
Website
Stanford University: Maneesh Agrawala
Social
Twitter
Published January 26, 2009
ABOUT MANEESH'S WORK
Maneesh Agrawala is a computer scientist designing visual interfaces that enhance our ability to understand large quantities of complex information. Working at the intersection of visualization, human-computer interaction, and computer graphics, Agrawala draws on cognitive psychology to identify the key perceptual and design principles underlying graphic illustrations. His algorithms automatically generate legible and effective designs for a variety of data types. As a graduate student, Agrawala developed LineDrive, a fully automated system for rendering route maps that both takes into account myriad cognitive factors involved in a user’s navigation of routes and adapts cartographic techniques for emphasizing essential information. The resulting maps resemble hand-drawn sketches in which unnecessary details are simplified or omitted and a larger scale is used at key locations to avoid confusion. Agrawala also developed a system that generates accurate and intelligible step-by-step assembly instructions for everyday items as well as complex machines (e.g., aircraft engines). The system utilizes exploded views — so that individual components of the object are spatially separated — in order to provide the user with a more direct understanding of the actual steps required for assembly. Agrawala and colleagues subsequently expanded on this work to create a program that produces illustrations of complex, three-dimensional objects, such as anatomical models. The program includes an interface that allows users to explore the spatial relationships among components by isolating parts of an object to magnify, expand, or collapse. Agrawala’s novel approach to visualization and computer communication in these and many other projects is transforming how we use, synthesize, and comprehend the ever-increasing volume of digital information we encounter in our daily lives.
BIOGRAPHY
Maneesh Agrawala received a B.S. (1994) and a Ph.D. (2002) from Stanford University. He was affiliated with Microsoft Research (2002-2006) prior to joining the faculty of the University of California, Berkeley, where he is currently an associate professor in the Department of Electrical Engineering and Computer Sciences.
马内什-阿格拉瓦拉
计算机视觉技术专家|2009级
设计视觉界面,提高用户综合和理解大量复杂数字信息的能力。
马内什-阿格拉瓦拉的肖像
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标题
计算机视觉技术专家
工作单位
加州大学伯克利分校
工作地点
加州伯克利市
年龄
获奖时37岁
重点领域
计算机科学和电气工程
网址
斯坦福大学。Maneesh Agrawala
社会
推特
2009年1月26日发表
关于Maneesh的工作
Maneesh Agrawala是一位计算机科学家,他设计的视觉界面可以提高我们理解大量复杂信息的能力。在可视化、人机交互和计算机图形的交叉点上工作,Agrawala利用认知心理学来确定图形插图的关键知觉和设计原则。他的算法为各种数据类型自动生成可读和有效的设计。作为一名研究生,阿格拉瓦拉开发了LineDrive,这是一个用于渲染路线地图的全自动系统,它既考虑到了用户导航路线中涉及的无数认知因素,又调整了制图技术以强调基本信息。由此产生的地图类似于手绘草图,其中不必要的细节被简化或省略,并且在关键位置使用较大的比例尺以避免混淆。阿格拉瓦拉还开发了一个系统,可以为日常用品和复杂的机器(如飞机引擎)生成准确和可理解的分步装配说明。该系统利用爆炸视图--使物体的各个组成部分在空间上分离--以便为用户提供对组装所需实际步骤的更直接的理解。Agrawala及其同事随后在这项工作上进行了扩展,创建了一个程序,可以制作复杂的三维物体的插图,如解剖学模型。该程序包括一个界面,允许用户通过隔离物体的某些部分来放大、扩大或缩小,从而探索组件之间的空间关系。阿格拉瓦拉在这些项目和其他许多项目中对可视化和计算机通信的新方法正在改变我们如何使用、综合和理解我们在日常生活中遇到的不断增加的数字信息。
个人简历
Maneesh Agrawala在斯坦福大学获得学士(1994年)和博士(2002年)学位。在加入加州大学伯克利分校的教师队伍之前,他曾隶属于微软研究院(2002-2006),目前是该校电子工程和计算机科学系的副教授。 |
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