Award Abstract # 1757663
Collaborative Research: REU Site: Applied Mathematics and Computational Modeling in the Greater Phoenix Area

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: ARIZONA STATE UNIVERSITY
Initial Amendment Date: March 1, 2018
Latest Amendment Date: May 20, 2022
Award Number: 1757663
Award Instrument: Continuing Grant
Program Manager: Stacey Levine
slevine@nsf.gov
 (703)292-2948
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: May 1, 2018
End Date: April 30, 2024 (Estimated)
Total Intended Award Amount: $544,998.00
Total Awarded Amount to Date: $544,998.00
Funds Obligated to Date: FY 2018 = $344,900.00
FY 2021 = $99,572.00

FY 2022 = $100,526.00
History of Investigator:
  • Wenbo Tang (Principal Investigator)
    Wenbo.Tang@asu.edu
  • Eric Kostelich (Co-Principal Investigator)
Recipient Sponsored Research Office: Arizona State University
660 S MILL AVENUE STE 204
TEMPE
AZ  US  85281-3670
(480)965-5479
Sponsor Congressional District: 04
Primary Place of Performance: Arizona State University
P.O. Box 871804
Tempe
AZ  US  85287-1804
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): NTLHJXM55KZ6
Parent UEI:
NSF Program(s): RSCH EXPER FOR UNDERGRAD SITES,
WORKFORCE IN THE MATHEMAT SCI
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
01002223DB NSF RESEARCH & RELATED ACTIVIT

04001819RB NSF Education & Human Resource
Program Reference Code(s): 9250, 7736
Program Element Code(s): 113900, 733500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

The REU program "Applied Mathematics and Computational Modeling in the Greater Phoenix Area" is aimed at providing summer research experiences to mathematically talented undergraduate students from 2-year institutions and 4-year liberal arts colleges who wouldn't otherwise participate in practical, cutting-edge research in applied mathematics and computational modeling. The program consists of two integral components --- a two-week preparatory module for students from the Maricopa County Community College District, followed by an eight-week research experience for all participants. The preparatory module will expose students to mathematical topics that are not covered in a typical community college curriculum, including a mix of interesting "real world" problems and an introduction to numerical computations, which the students will then use during the research period. Following the two-week course module, students will work in small groups of 3-4 on problems suggested by mentors, in areas of interesting overlap across research groups. Participating students will learn applied mathematical concepts and numerical tools that model space- and time-dependent dynamical processes. They will also be exposed to enrichment activities including relevant research seminars and workshops on STEM opportunities and career services.

The overall goal of the REU program is to expand research opportunities for place-bound community college and liberal arts college students; engage community college students to matriculate into Baccalaureate programs; guide students in scholarship and graduate school applications; and establish a supporting network to assist students throughout their undergraduate programs. To realize these goals, the curriculum is designed to provide opportunities to undergraduate mathematics and science majors to work as part of a team on an interdisciplinary problem; read journal articles to gain some background on a new subject quickly; analyze open-ended problems using computer simulation as a discovery tool; and present a talk on their work at the end of the program and (optionally) at an appropriate research conference. Students are also encouraged to continue collaboration with mentors remotely, leading to publications in archival journals. The summer research will address problems related to weather prediction, atmospheric dynamics, aviation hazard analyses and forecasting; image processing and Fourier analysis; network dynamics and topology; and mathematical models of cancer (especially brain and prostate cancer). Students will be supervised by experienced faculty in their respective fields. By reaching out to community colleges, the program will tap into diverse talents from underrepresented minority groups and increase their research participation in mathematics and STEM fields. Special efforts will be made to recruit students who are first-generation college students as well as students who are female and/or members of underrepresented groups in the mathematical science.

This site is supported by the Department of Defense in partnership with the NSF REU program.

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

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Bennett, Justin and Hu, Xixu and Gund, Karissa and Liu, Jingteng and Porter, Anya "Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients" SIAM Undergraduate Research Online , v.14 , 2021 https://doi.org/10.1137/19S1300571 Citation Details
Bermudez, Salina "Learning the Truncation Index of the Kronecker Product SVD for Image Restoration" SIAM Undergraduate Research Online , v.16 , 2023 https://doi.org/10.1137/23S1576281 Citation Details
Meade, William and Weber, Allison and Phan, Tin and Hampston, Emily and Resa, Laura Figueroa and Nagy, John and Kuang, Yang "High Accuracy Indicators of Androgen Suppression Therapy Failure for Prostate CancerA Modeling Study" Cancers , v.14 , 2022 https://doi.org/10.3390/cancers14164033 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This project was a partnership between ASU's School of Mathematical and Statistical Sciences and the Maricopa County Community College District (MCCCD).  The objective of the (AM)^2 REU is to bring research experience to undergraduate students from institutions that do not traditionally offer many such opportunities. The efforts at Maricopa provided a two-week preparatory course module for the MCCCD participants before they come to the ASU research session, the program introduced students to mathematical modeling with ordinary and partial differential equations, as well as computer programming for these introductory models. The ASU program consists of an 8-week undergraduate research experience for all participants. Extensive projects included mathematical and numerical models of brain and prostate cancers, global and regional atmospheric models and effects, urban energy consumption models, fluid dynamics and coherent structures, population dynamics experiments and models, numerical analyses and algorithm developments on imaging processing, modeling, and data mining. Over 5 cohorts of students (program cancelled in 2020 during CoVid), a total of 85 students have completed the program with funding from this grant; 12 more participated with other funding sources. 


The main goal of the project is, through the hands-on applied mathematical and numerical research experience, to encourage community college participants to matriculate into 4-year institutions, and to encourage all participants to eventually consider graduate studies in a STEM field. At the time of this writing, out of the 51 participants from community colleges, 42 have transferred to a 4-year institution; 30 students from the first four cohorts have pursued a graduate degree. 10 of those who pursued a graduate degree participated in the REU as a community college student. Other broader impacts of the program included 3 publications in peer-review journals and a book chapter; 6 students presented at regional and national conferences. 


Last Modified: 07/16/2024
Modified by: Wenbo Tang

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page