Award Abstract # 1407087
EXTREEMS-QED: Undergraduate Research in Computational and Data-Enabled Mathematics

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: GEORGE MASON UNIVERSITY
Initial Amendment Date: June 6, 2014
Latest Amendment Date: June 7, 2018
Award Number: 1407087
Award Instrument: Standard Grant
Program Manager: Victor Roytburd
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: July 1, 2014
End Date: June 30, 2019 (Estimated)
Total Intended Award Amount: $599,885.00
Total Awarded Amount to Date: $599,885.00
Funds Obligated to Date: FY 2014 = $599,885.00
History of Investigator:
  • Maria Emelianenko (Principal Investigator)
    memelian@gmu.edu
  • Daniel Anderson (Co-Principal Investigator)
  • Evelyn Sander (Co-Principal Investigator)
  • Harbir Antil (Co-Principal Investigator)
  • Thomas Wanner (Former Co-Principal Investigator)
  • Padmanabhan Seshaiyer (Former Co-Principal Investigator)
Recipient Sponsored Research Office: George Mason University
4400 UNIVERSITY DR
FAIRFAX
VA  US  22030-4422
(703)993-2295
Sponsor Congressional District: 11
Primary Place of Performance: George Mason University
4400 University Drive
Fairfax
VA  US  22030-4422
Primary Place of Performance
Congressional District:
11
Unique Entity Identifier (UEI): EADLFP7Z72E5
Parent UEI: H4NRWLFCDF43
NSF Program(s): WORKFORCE IN THE MATHEMAT SCI,
EDUCATION AND WORKFORCE
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 8606
Program Element Code(s): 733500, 736100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

Computational and data-enabled mathematics plays an ever-increasing role in the advancement of modern science and engineering. The main objective of this project is to promote and enhance undergraduate research experience at George Mason University (GMU) with the goal of preparing broadly trained computational mathematicians by immersing them in significant applied research projects. This research experience, while the students are still in formative stages of their education, will increase the likelihood of success in graduate studies in applied and computational mathematics and statistics. Recruitment from GMU's diverse student population and collaboration with a majority Hispanic university in Puerto Rico will promote participation of under-represented groups.

A student cohort consisting of eight GMU students will be admitted to the two-year long intensive interdisciplinary training program each year. In the summer, the students will be immersed in data-enabled research projects, covering a wide range of topics and application areas, from uncertainty quantification and bifurcation phenomena in large datasets, to modeling complex physical or financial systems and constrained optimization problems. It is expected that the students will conduct research for the whole duration of the program. As part of the education program, the students will attend a year long Undergraduate Seminar which will enhance their communication and dissemination skills, as well as other preparatory work for possible graduate studies in STEM fields. In fall semester, students will take a recently designed Applied and Computational Partial Differential Equations course followed by a new Advanced Topics in Computational Mathematics course in the spring. The project will include several unique faculty development and outreach opportunities, involving both GMU and non-GMU faculty. In addition, GMU will host industrial workshops and faculty boot camps that will involve selected students and faculty from a variety of institutions in hands-on data-driven projects. The project is a team effort that builds upon a strong record of successful undergraduate research and collaboration experience, including a recently established connection with InterAmerican University of Puerto Rico that will help to broaden the impact of the proposed training program.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Harout Boujakjian "Modeling the spread of Ebola with SEIR and optimal control" SIURO , v.9 , 2016
J. Guan, T. Berry, T. Sauer "Limits on reconstruction of dynamics in networks" Phys. Rev. Letters E , 2018 , p.022318 https://doi.org/10.1103/PhysRevE.98.022318
M. Holzer, R. Khatri "Pattern formation, traveling fronts and consensus versus fragmentation in a model of opinion dynamics" Physics Letters A , v.381 , 2017 , p.3197 0375-9601

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.

The project trained 25 Mason undergraduate students and 3 students from the partnering institution at Puerto Rico in cutting edge computational mathematics techniques and exposed them to research projects mentored by Mason faculty. Students were engaged in writing research publications, presenting at international and regional conferences including Joint Math Meetings and SIAM Annual Meetings, and participating in a range of team building and career development activities. Majority of the students pursued academic careers and all remained in STEM fields upon graduation. Many program participants won prestigious awards and fellowhips, including 3 NSF GRFP awards, 1 Goldwater scholarship and 2 honorable mentions, 1 NSF Graduate Research internship, 1 Givens Scholarship, 5 JMM best poster awards, 3 Posters on the HIll awards and 1 DoD SMART fellowship. Academia-bound student were admitted to top PhD programs in the country and the first cohorts already successfully completed all program requirements.


Intellectual merit of the award amounts to several research journal articles co-authored by the undergraduate students and many collaborative grant submissions. Broader impact on the mathematical field and on other disciplines is profound and versatile. The program was meticulously designed to immerse students into an intense interdisciplinary training system and allowed women and under-represented minority students unique opportunities for personal growth and high caliber mathematical training within an extremely positive and encouraging learning environment. The program generated an influx of applied mathematics students into Mason Mathematics PhD program and inspired several Provost office sponsored undergraduate research initiatives on campus.

 

 


Last Modified: 10/01/2019
Modified by: Maria Emelianenko

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