Award Abstract # 2005323
AF: Small: Algorithms for Geometric Shortest Paths and Related Problems
| NSF Org: |
CCF
Division of Computing and Communication Foundations
|
| Awardee: |
UTAH STATE UNIVERSITY
|
| Initial Amendment Date: |
July 24, 2020 |
| Latest Amendment Date: |
July 24, 2020 |
| Award Number: |
2005323 |
| Award Instrument: |
Standard Grant |
| Program Manager: |
A. Funda Ergun
fergun@nsf.gov
(703)292-2216
CCF
Division of Computing and Communication Foundations
CSE
Direct For Computer & Info Scie & Enginr
|
| Start Date: |
October 1, 2020 |
| End Date: |
September 30, 2023 (Estimated) |
| Total Intended Award Amount: |
$400,000.00 |
| Total Awarded Amount to Date: |
$400,000.00 |
| Funds Obligated to Date: |
FY 2020 = $400,000.00
|
| History of Investigator: |
-
Haitao
Wang
(Principal Investigator)
haitao.wang@usu.edu
|
| Awardee Sponsored Research Office: |
Utah State University
1000 OLD MAIN HILL
LOGAN
UT
US
84322-1000
(435)797-1226
|
| Sponsor Congressional District: |
01
|
| Primary Place of Performance: |
Utah State University
4205 Old Main Hill
Logan
UT
US
84322-4205
|
Primary Place of Performance Congressional District: |
01
|
| Unique Entity Identifier (UEI): |
SPE2YDWHDYU4
|
| Parent UEI: |
SPE2YDWHDYU4
|
| NSF Program(s): |
Algorithmic Foundations
|
| Primary Program Source: |
040100 NSF RESEARCH & RELATED ACTIVIT
|
| Program Reference Code(s): |
7923,
7926,
7929
|
| Program Element Code(s): |
7796
|
| Award Agency Code: |
4900
|
| Fund Agency Code: |
4900
|
| Assistance Listing Number(s): |
47.070
|
ABSTRACT

Finding a shortest path between two locations is a natural problem in the real world. In today's information age, shortest path and related problems have been extensively studied in computer and information science. Yet new problems keep emerging as more and more applications are desired in practice. Among them, a growing number of problems lie in certain geometric domains, which originate from applications such as robot motion planning, transportation, geographic information systems, logistics, computer graphics, computer vision, intelligent systems, facility locations, VLSI design, etc. This project aims to study fundamental shortest path and related problems in geometric settings. The goal is to explore novel ideas and insights to develop efficient algorithms to solve these problems. Research results produced from this project will be integrated into several courses on data structures, algorithms, and computational geometry, which will benefit both graduate and undergraduate students with diverse backgrounds. This project will train graduate students as well as bring research opportunities to undergraduate students.
More specifically, the topics in the project include, but are not limited to, shortest paths avoiding obstacles and many of variations thereof, minimum-link paths, geodesic Voronoi diagrams, geometric facility locations, etc. Some of these problems already have existing algorithms, and this project is expected to develop more efficient solutions based on new insights and techniques. Others have never been studied before, and this project is expected to provide first-known algorithms with an in-depth understanding of the geometric structures of these problems. By developing new algorithms and techniques, this research will advance knowledge and make progress on solving shortest path and related problems in geometric domains.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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