Announcements
Reopening Information
Faculty Research Spotlight
Haim Brezis To Deliver 2021 Distinguished Lecture
News & Achievements
Society On the Verge of Breakdown – Interview with Prof. Turchin in The Guardian
UConn Alum Establishes Faculty Fellowship
Talitha Washington (UConn Math PhD 2001) elected Fellow of the AMS
Congratulation to Talitha Washington, who received her doctorate in mathematics from UConn in 2001, on being named a Fellow of the American Mathematical Society, class of 2021! Dr. Washington is Professor of Mathematics at Clark Atlanta University. She also has an affiliate faculty appointment at Morehouse College, Morehouse School of Medicine, and Spelman College. Previously, […]
[Read More]In Memoriam: Charles I. Vinsonhaler
It is with great sadness that we inform you of the passing of Charles I. Vinsonhaler, Professor Emeritus of the Mathematics Department. Chuck, as he was universally known, was on the UConn faculty for decades and served as Department Head (19972003). He founded the department’s worldleading Actuarial Science program and played a key role in […]
[Read More]Welcome new faculty and students!
Welcome back! Even as we prepare for a very unusual new semester, we are very excited to be joined by a large number of newcomers this fall, and to welcome them to our Department! Regular Faculty Robert Dolan, Assistant Professor in Residence Amineh Farzannia, Assistant Professor in Residence Sijing Liu, Assistant Professor in Residence Hanson […]
[Read More]Upcoming Events

Jan
28
Probability And Data Science Colloquium
Phase Transitions In Random Constraint Satisfaction Problems
Speaker: Nike Sun (MIT) 1:30pmProbability And Data Science Colloquium
Phase Transitions In Random Constraint Satisfaction Problems
Speaker: Nike Sun (MIT)Thursday, January 28th, 2021
01:30 PM  02:30 PM
Storrs Campus
OnlineAbstract: I will survey recent progress in determination of asymptotic behavior for random constraint satisfaction problems, including phase transitions and some understanding of solution geometry, particularly in the setting of the random regular NAESAT problem. I will discuss (as time permits) two ideas that played important roles in results obtained so far: (1) combinatorial models for the solution geometry, and (2) contractivity of tree recursions as a tool for calculating expected partition functions on sparse random graphs. This lecture is based in part on joint works with Zsolt Bartha, Jian Ding, Allan Sly, and Yumeng Zhang.Contact Information: Zhongyang Li
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Jan
29
SIGMA Seminar
On Holonomy, An Invitation To Riemannian Geometry
Gianmarco Molino3:00pmSIGMA Seminar
On Holonomy, An Invitation To Riemannian Geometry
Gianmarco MolinoFriday, January 29th, 2021
03:00 PM  04:00 PM
Storrs Campus
OnlineAbstract: In the study of geometry there arises a natural notion of the parallel transport of vectors along surfaces and their higher dimensional generalizations. It is interesting to ask: How many ways can a vector at a point be (parallel) transported along a loop returning to the same point? The group of isometries generated in this way is called the holonomy group, and its structure reveals information about the underlying space.
In this talk we’ll cover some essential ideas of Riemannian geometry in order to arrive at a discussion of the holonomy of Riemannian manifolds; in particular we’ll discuss the Berger classification theorem, the holonomy of symmetric spaces, and some ongoing directions of research in subRiemannian geometry. The presentation will be accessible to those without background in Riemannian geometry.Contact Information: Bailey Johnson
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Feb
1
Control And Optimization Seminar
Adaptive Strictly Distributed Optimization
Le Yi Wang (Wayne State University)2:00pm
Control And Optimization Seminar
Adaptive Strictly Distributed Optimization
Le Yi Wang (Wayne State University)Monday, February 1st, 2021
02:00 PM  03:00 PM
Other
OnlinePlease join the seminar via the Webex link (Meeting number: 120 361 1809):
https://uconncmr.webex.com/uconncmr/j.php?MTID=m4f09cbe8236d109906b56f87f16bee3c
Abstract: Optimization problems in network systems must resolve issues of computation and communication complexity, unknown system models, and observation noise. In this talk, we discuss different optimization structures and their implications on complexity, scalability, privacy, and security. We show that by employing common distributed features on physical systems and integrating cyber and physical systems, it is possible to derive strictly distributed cyber optimization algorithms that have highly desirable features.
When physical system models are either unknown or change with time or operating conditions, this cyberphysical integration approach provides operational data that can be used to identify unknown systems during optimization, leading to adaptive strictly distributed optimization algorithms. However, the integrated algorithm of system identification (learning) and optimization encounters a fundamental conflict between system identifiability and convergence to optimal solutions. To maintain persistent identifiability and achieve optimality, we introduce a method of adding a small stochastic dither which provides sufficient excitation for estimating the unknown parameters, leading to convergent adaptive optimization algorithms. Joint identification and optimization algorithms are developed and their simultaneous convergence properties of parameter estimation and optimization variable updates are proved. Under both noisefree and noisy observations, the corresponding convergence rates are established. The main results of this paper reveal certain fundamental relationships and tradeoff among updating step sizes, dither magnitudes, parameter estimation errors, optimization accuracy, and convergence rates. Simulation case studies are used to illustrate the adaptive optimization algorithms and their main properties.
Speaker's bio: Dr. Wang is a full professor in the Department of Electrical and Computer Engineering at Wayne State University, and an elected IEEE Follow. He obtained his Ph.D. from McGill in 1990. For more information, please visit his website: https://engweb.eng.wayne.edu/ad/ad05/ad0597/public_html/Contact Information: Bin Zou, bin.zou@uconn.edu
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Feb
3
Algebra Seminar
Title
YoonJoo Kim (Stony Brook University)11:15amAlgebra Seminar
Title
YoonJoo Kim (Stony Brook University)Wednesday, February 3rd, 2021
11:15 AM  12:05 PM
Storrs Campus
Online on WebExUConn's Algebra Seminar WebEx seriesContact Information: mihai.fulger@uconn.edu
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Feb
3
Mathematics Colloquium
Title TBA
Michel L. Lapidus (UC Riverside)3:30pmMathematics Colloquium
Title TBA
Michel L. Lapidus (UC Riverside)Wednesday, February 3rd, 2021
03:30 PM  04:30 PM
Storrs Campus
OnlineTBAContact Information: KyuHwan Lee
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