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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Wang, Haitao "A new algorithm for Euclidean shortest paths in the plane" Proceedings of the 53rd Annual ACM Symposium on Theory of Computing (STOC 2021) , 2021 https://doi.org/10.1145/3406325.3451037 Citation Details
Wang, Haitao "An Optimal Deterministic Algorithm for Geodesic Farthest-Point Voronoi Diagrams in Simple Polygons" Proceedings of the 37th International Symposium on Computational Geometry (SoCG 2021) , 2021 https://doi.org/10.4230/LIPIcs.SoCG.2021.59 Citation Details
Wang, Haitao and Zhao, Yiming "Algorithms for Diameters of Unicycle Graphs and Diameter-Optimally Augmenting Trees" Proceedings of the 15th International Conference and Workshops on Algorithms and Computation (WALCOM 2021) , 2021 https://doi.org/10.1007/978-3-030-68211-8_3 Citation Details
Wang, Haitao "Shortest Paths Among Obstacles in the Plane Revisited" Proceedings of the 32nd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2021) , 2021 https://doi.org/10.1137/1.9781611976465.51 Citation Details

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