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Award Abstract # 2336788
CAREER: Analytic and High-dimensional Methods in Probability

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: UNIVERSITY OF ILLINOIS
Initial Amendment Date: July 9, 2024
Latest Amendment Date: July 9, 2024
Award Number: 2336788
Award Instrument: Continuing Grant
Program Manager: Elizabeth Wilmer
ewilmer@nsf.gov
 (703)292-7021
DMS
 Division Of Mathematical Sciences
MPS
 Direct For Mathematical & Physical Scien
Start Date: September 1, 2024
End Date: August 31, 2029 (Estimated)
Total Intended Award Amount: $400,000.00
Total Awarded Amount to Date: $7,709.00
Funds Obligated to Date: FY 2024 = $7,709.00
History of Investigator:
  • Marcus Michelen (Principal Investigator)
    michelen@uic.edu
Recipient Sponsored Research Office: University of Illinois at Chicago
809 S MARSHFIELD AVE M/C 551
CHICAGO
IL  US  60612-4305
(312)996-2862
Sponsor Congressional District: 07
Primary Place of Performance: University of Illinois at Chicago
809 S MARSHFIELD AVE M/C 551
CHICAGO
IL  US  60612-4305
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): W8XEAJDKMXH3
Parent UEI:
NSF Program(s): PROBABILITY
Primary Program Source: 01002425DB NSF RESEARCH & RELATED ACTIVIT
01002526DB NSF RESEARCH & RELATED ACTIVIT

01002627DB NSF RESEARCH & RELATED ACTIVIT

01002728DB NSF RESEARCH & RELATED ACTIVIT

01002829DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1045
Program Element Code(s): 126300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

This project focuses on the mathematical area of probability theory, the study of random structures. Random structures are ubiquitous throughout the sciences for their use as models as well as their use in the design of algorithms. The main focus of this project is on random structures in high dimensions, meaning random structures with many degrees of freedom. Some examples are random matrices, random sphere packings and random polynomials. Each of these classes of models has direct application in various other scientific fields such as data science, statistical physics and theoretical computer science. The project includes workshops for early-career researchers and graduate students, with an aim of bringing together disparate mathematical subfields.

The project consists of three components, with specific problems chosen with the aim of developing new techniques in high-dimensional probability and the use of analytic approaches in probability theory. The first component of the project concerns universality properties of random polynomials along with their use in optimization and algorithmic problems. The second component focuses on the structure of random sphere packings using connections to more combinatorial objects such as independent sets. The third component studies the non-asymptotic theory of random matrices with a focus on extremal behavior such as understanding the behavior of the least singular value in models without independent entries.

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.

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

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