Lawrence J. Rosenblum
Encyclopedia
United States
The United States of America is a federal constitutional republic comprising fifty states and a federal district...
mathematician
Mathematician
A mathematician is a person whose primary area of study is the field of mathematics. Mathematicians are concerned with quantity, structure, space, and change....
, and Program Director for Graphics and Visualization at the National Science Foundation
National Science Foundation
The National Science Foundation is a United States government agency that supports fundamental research and education in all the non-medical fields of science and engineering. Its medical counterpart is the National Institutes of Health...
.
Work
Rosenblum received his Ph.D. in MathematicsMathematics
Mathematics is the study of quantity, space, structure, and change. Mathematicians seek out patterns and formulate new conjectures. Mathematicians resolve the truth or falsity of conjectures by mathematical proofs, which are arguments sufficient to convince other mathematicians of their validity...
from the Ohio State University
Ohio State University
The Ohio State University, commonly referred to as Ohio State, is a public research university located in Columbus, Ohio. It was originally founded in 1870 as a land-grant university and is currently the third largest university campus in the United States...
in 1971. From 1992 to 1994, he was Liaison Scientist for Computer Science at the Office of Naval Research European Office. From 1994 he has been Director of Virtual Reality (VR) Systems and Research at the Information Technology Division of the Naval Research Laboratory (NRL) and Program Officer for Visualization and Computer Graphics at the Office of Naval Research (ONR) for ten years. Since 2004 he is Program Director for Graphics and Visualization at the National Science Foundation.
Rosenblum is on the editorial boards of IEEE CG&A and Virtual Reality. He has guest edited special issues/sections of IEEE Computer Graphics and Applications (CG&A), Computer, and Presence on visualization, VR, and ARHe. He also has served on both the editorial board and advisory board of the IEEE Transactions on Visualization and Computer Graphics. He was the elected Chairman of the IEEE Technical Committee on Computer Graphics from 1994-1996 and is currently Director of the IEEE Visualization and Graphics Technical Committee.
Rosenblum received an IEEE Outstanding Contribution Certificate for initiating and co-founding the IEEE Visualization Conference. He serves on the program, conference, and steering committees of numerous international conferences. He is a senior member of the IEEE and a member of the IEEE Computer Society, ACM, and Siggraph.
Work
Rosenblum's research interests include mobile augmented reality (AR), scientific and uncertainty visualization, VR displays, and applications of VR/AR systems. His research group has produced advances in mobile augmented reality (AR), scientific and uncertainty visualization, VR displays, applications of VR/AR systems, and understanding human performance in graphics systems.The emergence of scientific visualization
In the 1990s scientific visualizationScientific visualization
Scientific visualization is an interdisciplinary branch of science according to Friendly "primarily concerned with the visualization of three-dimensional phenomena , where the emphasis is on realistic renderings of volumes, surfaces, illumination sources, and so forth, perhaps...
developed as an emerging research discipline. According to Rosenblum (1994) "new algorithms are just beginning to effectively handle the recurring scientific problem of data collected at nonuniform intervals. Volume visualization today is being extended from examining scientific data to reconstructing scattered data and representing geometrical objects without mathematically describing surfaces. Fluid dynamics visualization affects numerous scientific and engineering disciplines. It has taken its place with molecular modeling, imaging remote-sensing data, and medical imaging
Medical imaging
Medical imaging is the technique and process used to create images of the human body for clinical purposes or medical science...
as a domain-specific visualization research area".
Much of the progress in the field of scientific modeling, according to Rosenblum (1994), came "from using algorithms with roots in both computer graphics
Computer graphics
Computer graphics are graphics created using computers and, more generally, the representation and manipulation of image data by a computer with help from specialized software and hardware....
and computer vision
Computer vision
Computer vision is a field that includes methods for acquiring, processing, analysing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions...
. One important research thread has been the topological representation of important features. Volume and hybrid visualization now produce 3D animations of complex flows. However, while impressive 3D visualizations have been generated for scalar parameters associated with fluid dynamics, vector and especially tensor portrayal has proven more difficult. Seminal methods have appeared, but much remains to do. Great strides have also occurred in visualization systems. The area of automated selection of visualizations especially requires more work. Nonetheless, the situation has much improved, with these tools increasingly accessible to scientists and engineers".
Research trends in Visualization
The field of visualization has undergone considerable changes since its founding in the late 1980s. From its origins in scientific visualizationScientific visualization
Scientific visualization is an interdisciplinary branch of science according to Friendly "primarily concerned with the visualization of three-dimensional phenomena , where the emphasis is on realistic renderings of volumes, surfaces, illumination sources, and so forth, perhaps...
, new areas have arisen in the new Millennium . These include information visualization
Information visualization
Information visualization is the interdisciplinary study of "the visual representation of large-scale collections of non-numerical information, such as files and lines of code in software systems, library and bibliographic databases, networks of relations on the internet, and so forth".- Overview...
and, more recently, mobile visualization including location-aware computing, and visual analytics
Visual analytics
Visual analytics is an outgrowth of the fields information visualization and scientific visualization, that focuses on analytical reasoning facilitated by interactive visual interfaces...
. Several new trends are emerging. The most important is the fusion of visualization techniques with other areas such as computer vision
Computer vision
Computer vision is a field that includes methods for acquiring, processing, analysing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions...
, data mining
Data mining
Data mining , a relatively young and interdisciplinary field of computer science is the process of discovering new patterns from large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems...
and data bases to promote broad-based advances. Another trend, which has not been well met to date by visualization researchers, is for algorithms to be combined with usability studies to assure that techniques and systems are well designed and that their value is quantified. This presentation will discuss current research trends in visualization as well as briefly discuss trends in U.S. research funding.
Foundations of Data and Visual Analytics
Rosenblum current program responsibilities at the NSF in 2008 is "Foundations of Data and Visual Analytics (FODAVA)" project. Those involved with science, engineering, commerce, health, and national security all increasingly face the challenge of synthesizing informationInformation
Information in its most restricted technical sense is a message or collection of messages that consists of an ordered sequence of symbols, or it is the meaning that can be interpreted from such a message or collection of messages. Information can be recorded or transmitted. It can be recorded as...
and deriving insight from massive, dynamic, ambiguous and possibly conflicting digital data
Data
The term data refers to qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs, images, or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which...
. The goal of collecting and examining these data is not to merely acquire information, but to derive increased understanding from it and to facilitate effective decision-making.
To capitalize on the opportunities provided by these data sets, a new, interdisciplinary field of science is emerging called "Data
Data
The term data refers to qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs, images, or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which...
and Visual Analytics
Visual analytics
Visual analytics is an outgrowth of the fields information visualization and scientific visualization, that focuses on analytical reasoning facilitated by interactive visual interfaces...
", which is defined as the science of analytical reasoning facilitated by interactive visual interfaces. Data and Visual Analytics requires interdisciplinary science, going beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more. This solicitation is concerned only with a subset of the overall problem, namely the creation of the mathematical and computational sciences foundations required to transform data in ways that permit visual-based understanding.
To facilitate visual-based data exploration, it is necessary to discover new algorithms that will represent and transform all types of digital data into mathematical formulations and computational models that will subsequently enable efficient, effective visualization and analytic reasoning techniques.
Publications
Rosenblum has published over eighty scientific articles and has edited two books, including Scientific Visualization: Advances & Challenges.- 1990. Visualization in scientific computing. Edited with Gregory M. Nielson and Bruce Shriver.
- 1991. Visualization '91, October 22-25, 1991, San Diego, California : proceedings / sponsored by IEEE Computer Society Technical Committee on Computer Graphics,in cooperation with ACM/SIGGRAPH. Edited with Gregory M. Nielson.
- 1994. Scientific Visualization : Advances and challenges. Academic Press.
- 1999. IEEE virtual reality : March 13-17, 1999, Houston, Texas : proceedings. Edited with Peter Astheimer, and Detlef Teichmann ; sponsored by IEEE Computer Society Technical Committee on Visualization and Graphics.
External links
- Lawrence Rosenblum homepage at the NSF.