Each student wrote a report on their research project, and below we list the student researchers, the title of their report, and their mentor. The underlined titles provide links to pdfs of the reports.
Alex Fauman, Michael Conlon, Wenche Tseng: Ribbon surfaces of Matrix integrals (mentored by Owen Gwilliam)
Ben Burns: Mapping class groups and Stein fillings (mentored by Inanc Baykur)
Bingheng Yang: Distinguishing plane curves using contact geometry (mentored by Michael Sullivan and Yasin Karacan)
Charles Kolozsvary and Ziyan Zhao: Training a Neural Network to Estimate Covid-19 Infections (mentored by Yao Li)
Ethan Phillips: Kazhdan-Lusztig Polynomials of Cographic Matroids (mentored by Tom Braden)
Chengzhi Wu Li: TBA (mentored by Paul Siqueira)
Gregory Turnberg: Numerical Methods for the Nonlinear Schrödinger Equation (mentored by Panayotis Kevrekidis, Wei Zhu, YuLong Lu)
Hanfei Su: Using PINNs to predict numerical solutions of partial differential equations (mentored by Qian-Yong Chen)
Hiral Gupta: Introduction To Spectral Radius And Finding How It Depends On Various Factors (mentored by Faith Zhang)
Isaac MacArthur and Pablo Castilla: Perturbed Ehrhart Polynomials and h^* Polynomials of Flow Polytopes (mentored by Alejandro Morales)
Jessica Donoghue: Ideal class groups of division fields of elliptic curves (mentored by Tom Weston)
Jiaxi Tian: Mertens constant for Zeta function of graphs (mentored by Siman Wong)
Katherine Gong: Stochastic and Deterministic Modeling of Stem Cell Dynamics (mentored by Leili Shahriyari)
Manasi Gore: Diffie-Hellman Key Exchange on the family of Ramanujan Graphs (mentored by Bartu Bingol)
Seth Wyatt: Modulation Stability of the One-Dimensional Multi-Component Gross-Pitaevskii Equation in the Non-Mixing Phase (mentored by Mithun Thudiyangal)
Sheikh Saqlain: Discovering governing equations in discrete systems using PINNs (mentored by Panayotis Kevrekidis)
Trung Do: Solving the Schrödinger eigenvalue problem using deep learning (mentored by YuLong Lu)
Wenhan Li, Yanzhe Hu, Xingyu Zhu: Graph Neural Networks on Molecule Prediction (mentored by Wei Zhu)
Xinqian Dai: Exploring Bayesian Regression Analysis (mentored by Budhinath Padhy)
Zhiheng Wang: Oil price prediction with neural network (mentored by Hongkun Zhang)
Zhasmin Ospanova: Relating a tractoid to a 2-dimension black hole vacuum (mentored by Floyd Williams)