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Project Information

CAREER: AN EFFICIENT FRAMEWORK FOR DESIGN AND MODELING OF COMPLEX COMPUTER EXPERIMENTS

Agency:
NSF

National Science Foundation

Project Number:
1349415
Contact PI / Project Leader:
HUNG, YING
Awardee Organization:
RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK

Description

Abstract Text:
The primary objective of this research is to develop an efficient framework for design and modeling of complex computer experiments, especially those with diverse and high-dimensional inputs and massive outputs. Computer experiments, i.e., experiments using simulation or numerical codes, have been widely used as alternatives to physical experiments, especially for studying complex phenomena. The investigator introduces new classes of designs that can efficiently accommodate large numbers of both quantitative and qualitative factors in computer experiments. The investigator also proposes a new adaptive design that is flexible and robust, yet takes into account uncertainties in the complex systems. Apart from experimental design, a novel sampling/modeling technique is proposed to reduce computational complexity and quantify model uncertainty in the analysis of computer experiments with massive data.

The proposed approaches are readily applicable to a variety of scientific disciplines and will have immediate impact on accelerating discoveries in numerous fields involving complex experiments like biomechanical engineering, systems biology, and environmental science. In particular, the proposed modeling techniques can dramatically enhance the efficiency and prediction accuracy in the analysis of cell adhesion, which plays an important role in tumor metastasis in cancer research. Moreover, the proposed methods can benefit the analysis of massive data for climate change, response to natural disasters, and the spread of pandemic disease. Integrated into the research outlined in this proposal is an education plan that emphasizes interdisciplinary training for a broad body of students and increasing participation from underrepresented groups. Results of the proposed research will be integrated into the Research Experience for Undergraduates program offered by Rutgers. Female and undergraduate students from underrepresented groups will be recruited and actively involved in the PI's research through Rutgers's highly successful Research in Science and Engineering program. Software will be written, which allows graduate and undergraduate students to have hands-on experience to implement the new methods on real examples.
Project Terms:
Accounting; anticancer research; biomechanical engineering; career; Cell Adhesion; climate change; Code; Complex; Computer Analysis; Computer software; Computers; Data; design; Discipline; Ecology; education planning; Engineering; experience; Experimental Designs; Female; flexibility; Hand; Methods; model design; Modeling; Natural Disasters; Neoplasm Metastasis; novel; Output; pandemic disease; Play; programs; Recruitment Activity; Research; Research Personnel; research study; response; Role; Sampling; Science; simulation; Students; System; Systems Biology; Techniques; Training; tumor; Uncertainty; undergraduate student; Underrepresented Minority; Writing

Details

Contact PI / Project Leader Information:
Name:  HUNG, YING
Other PI Information:
Not Applicable
Awardee Organization:
Name:  RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK
City:  NEW BRUNSWICK    
Country:  UNITED STATES
Congressional District:
State Code:  NJ
District:  06
Other Information:
Fiscal Year: 2014
Award Notice Date: 11-Feb-2014
DUNS Number: 001912864
Project Start Date: 01-Jul-2014
Budget Start Date:
CFDA Code: 47.049
Project End Date: 30-Jun-2019
Budget End Date:
Agency: ?

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National Science Foundation
Project Funding Information for 2014:
Year Agency

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

FY Total Cost
2014 NSF

National Science Foundation

$67,355

Results

i

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