Award Abstract # 1937254
RTG: Research Training in Applied Mathematics at Columbia University

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
Initial Amendment Date: March 9, 2020
Latest Amendment Date: August 10, 2023
Award Number: 1937254
Award Instrument: Continuing Grant
Program Manager: Pedro Embid
pembid@nsf.gov
 (703)292-4859
DMS
 Division Of Mathematical Sciences
MPS
 Direct For Mathematical & Physical Scien
Start Date: August 1, 2020
End Date: July 31, 2025 (Estimated)
Total Intended Award Amount: $1,913,196.00
Total Awarded Amount to Date: $1,530,557.00
Funds Obligated to Date: FY 2020 = $1,147,918.00
FY 2023 = $382,639.00
History of Investigator:
  • Kui Ren (Principal Investigator)
    kr2002@columbia.edu
  • Ivan Corwin (Co-Principal Investigator)
  • Daniela De Silva (Co-Principal Investigator)
  • Qiang Du (Co-Principal Investigator)
  • Michael Weinstein (Co-Principal Investigator)
Recipient Sponsored Research Office: Columbia University
615 W 131ST ST
NEW YORK
NY  US  10027-7922
(212)854-6851
Sponsor Congressional District: 13
Primary Place of Performance: Columbia University
2960 Broadway
New York
NY  US  10027-6902
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): F4N1QNPB95M4
Parent UEI:
NSF Program(s): PROBABILITY,
APPLIED MATHEMATICS,
COMPUTATIONAL MATHEMATICS,
ANALYSIS PROGRAM,
WORKFORCE IN THE MATHEMAT SCI
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7301
Program Element Code(s): 126300, 126600, 127100, 128100, 733500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

This Research Training Group (RTG) project is a joint effort of the Department of Applied Physics and Applied Mathematics, the Department of Mathematics, and the School of Engineering and Applied Sciences at Columbia University. It aims to create a cutting-edge research and training program in modern applied mathematics. By substantially enriching research and educational experiences for trainees, and by directly coupling into key educational and research initiatives in the School of Engineering and Applied Sciences and across the University, the activities will have a significant impact on applied mathematics education and training at Columbia. The RTG project will engage high school as well as undergraduate students from the New York metropolitan area and across the country (through the Summer Research Program), inspiring mathematical careers for underrepresented groups in the United States.

The project includes three main ingredients: (i) a group of research topics in applied mathematics at the frontier of engineering applications; (ii) a coherent mentoring-learning program on applied mathematics research and career development for undergraduate and graduate students as well as postdoctoral scholars; and (iii) a systematic plan to modernize undergraduate and graduate curriculum in applied mathematics and scientific computation. The senior investigators and the trainees will form groups to tackle challenging and rewarding mathematical and computational problems, including linear and nonlinear wave propagation in novel complex (and possibly random) structures, physics- and data-enabled algorithms for material discovery, hybrid inverse problems and imaging, mathematical theory of machine learning, harmonic analysis of large data sets, and uncertainty quantification. They will collaborate with leading engineers at Columbia to connect their mathematical and computational discoveries with applications in nonlinear optics and photonics, materials science, medical imaging, climate modeling, and general data science. The senior members of this RTG project are strongly committed to training and mentoring undergraduates, graduate students, and postdoctoral scholars. Their extensive and varied experiences in teaching and mentorship will be invaluable to the professional growth of the trainees.

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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Barraquand, Guillaume and Corwin, Ivan "Stationary measures for the log-gamma polymer and KPZ equation in half-space" The Annals of Probability , v.51 , 2023 https://doi.org/10.1214/23-AOP1634 Citation Details
Barraquand, Guillaume and Corwin, Ivan and Dimitrov, Evgeni "Spatial Tightness at the Edge of Gibbsian Line Ensembles" Communications in Mathematical Physics , v.397 , 2023 https://doi.org/10.1007/s00220-022-04509-4 Citation Details
Du, Qiang and Tian, Xiaochuan and Wright, Cory and Yu, Yue "Nonlocal trace spaces and extension results for nonlocal calculus" Journal of Functional Analysis , v.282 , 2022 https://doi.org/10.1016/j.jfa.2022.109453 Citation Details
Huang, Kuang and Du, Qiang "Stability of a Nonlocal Traffic Flow Model for Connected Vehicles" SIAM Journal on Applied Mathematics , v.82 , 2022 https://doi.org/10.1137/20M1355732 Citation Details
Aggarwal, Amol and Corwin, Ivan and Ghosal, Promit "The ASEP speed process" Advances in Mathematics , v.422 , 2023 https://doi.org/10.1016/j.aim.2023.109004 Citation Details
Du, Qiang and Huang, Kuang and Scott, James and Shen, Wen "A space-time nonlocal traffic flow model: Relaxation representation and local limit" Discrete and Continuous Dynamical Systems , v.43 , 2023 https://doi.org/10.3934/dcds.2023054 Citation Details
Corwin, Ivan and Knizel, Alisa "Stationary measure for the open KPZ equation" Communications on Pure and Applied Mathematics , v.77 , 2024 https://doi.org/10.1002/cpa.22174 Citation Details
Corwin, Ivan "Francis Comets? Gumbel last passage percolation" Stochastic Processes and their Applications , v.169 , 2024 https://doi.org/10.1016/j.spa.2023.104267 Citation Details
Hass, Jacob B. and Carroll-Godfrey, Aileen N. and Corwin, Ivan and Corwin, Eric I. "Anomalous fluctuations of extremes in many-particle diffusion" Physical Review E , v.107 , 2023 https://doi.org/10.1103/PhysRevE.107.L022101 Citation Details
Du, Qiang and Lu, Xin Yang and Wang, Chong "The average-distance problem with an Euler elastica penalization" Interfaces and Free Boundaries , v.24 , 2022 https://doi.org/10.4171/IFB/470 Citation Details

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