Abstract: In this talk, we introduce a general stochastic maximum principle for systems of partially observed optimal control of semi-linear stochastic partial differential equations in a nonconvex control domain. The state evolves in a Hilbert space driven by a cylindrical Wiener process and finitely many Brownian motions, while observations are in a Euclidean space having correlated noise. For the convex control domain and diffusion coefficients in the state being control-independent, numerical algorithms are developed to solve the partially observed optimal control problems using a stochastic gradient descent algorithm combined with finite element approximations and the branching filtering algorithm. Numerical experiments are conducted for demonstration. Speaker's short bio: Hongjiang is currently a postdoc in the Department of Mathematics at Auburn University. He completed his Ph.D. in mathematics at the University of Connecticut under the supervision of Prof. George Yin, and received B.S. in Mathematics and Applied Mathematics from Huazhong University of Science and Technology in 2018. Please visit his website https://hongjiang-qian.github.io/ (https://hongjiang-qian.github.io/) for more information.

TBA Speaker's short bio: Hongjiang is a postdoctoral fellow in the Department of Mathematics and Statistics at Auburn University. He obtained his PhD in mathematics at the University of Connecticut in December 2023, under the supervision of Prof. George Yin. Before that, he received his B.S. in Mathematics and Applied Mathematics at Huazhong University of Science and Technology in 2018. Please visit his website https://hongjiang-qian.github.io/index.html (https://hongjiang-qian.github.io/index.html) for more information.

Do you have questions about the new Ultra Course View in HuskyCT? This session will be dedicated to specific questions participants have during the Fall 2025 semester. There will be no set agenda or presentation for this session; EdTech staff will cover any topics participants request. Registrants are encouraged to submit questions ahead of time to edtech@uconn.edu so that staff can prepare detailed answers and examples as necessary.   Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3652 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3652)

On Wednesday, November 12, 2025, Dr. Andrew Hardaway will be here at UConn Physiology and Neurobiology from UMass Amherst, hosted by Dr. Natale Sciolino. His seminar will be titled, "The central amygdala integrates exogenous and endogenous GLP-1 signals."

Homomorphisms of maximal Cohen-Macaulay modules over the cone of an elliptic curve by Bhargavi Parthasarathy (Syracuse University) Abstract: Consider the ring \(R=k[[x,y,z]]/(f)\) where \(f=x^3+y^3+z^3\) with an algebraically closed field \(k\) and \(char(k) eq 3\). In a 2002 paper, Laza, Popescu and Pfister used Atiyah's classification of vector bundles over elliptic curves to obtain a description of the maximal Cohen-Macaulay modules (MCM) over \(R\). In particular, the matrix factorizations corresponding to rank one MCMs can be described using points in \(V(f)\). If \(M,\ N\) are rank one MCMs over \(R\), then so is \({m Hom}_R(M,N)\). In this talk, I will discuss how the elliptic group law on \(f\) can be used to obtain the point in \(V(f)\) that describes the matrix factorization corresponding to \({m Hom}_R(M,N)\).