The University of Michigan was awarded a $349,978 project grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year project grant, awarded in June 2021, will support research titled "Homogeneity Pursuit in Regression Analysis: Statistical Theory, Integer Optimization, and Algorithms." The grant aims to advance statistical methodology for regression analysis through the development of...
The University of Michigan was awarded a $270,000 Project Grant from the National Science Foundation Division of Mathematical Sciences. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049) and supports collaborative research on flexible network inference from July 1, 2021 to June 30, 2024. Through this funding, researchers will work to advance understanding of major problems in network science and mathematics by developing new techniques to infer the structure and...
The University of Michigan was awarded a $289,997 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will support research from July 1, 2021 to June 30, 2024 on the topic "Dynamics, Integratability, and Control of Mechanical and Physical Systems." As part of this work, the University of Michigan will investigate major problems in dynamics, integratability, and control of...
This $500,000 National Science Foundation project grant supports research and education activities at the University of Michigan from October 2022 through September 2026 under the Computer and Information Science and Engineering program. The University of Michigan will conduct collaborative research to advance graph neural network theory, models, and applications for heterophilous data. The researchers will develop new graph neural network designs and architectures that perform well across...
The University of Michigan will receive $300,000 in funding from the National Science Foundation under the Mathematical and Physical Sciences program (CFDA 47.049) for the project "ALGEBRAIC COMBINATORICS" from July 1, 2021 to June 30, 2024. The University will conduct research in algebraic combinatorics to promote progress in mathematical sciences and strengthen the nation's scientific enterprise. The funding will support increasing knowledge and understanding of major problems...
The University of Michigan was awarded a $1,566,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) to conduct research titled "RACE, GENDER AND CLASS EQUITY IN THE FUTURE OF WORK: AUTOMATION FOR THE ARTISANAL ECONOMY." The three-year award, effective October 1, 2021 through September 30, 2024, will support the University's examination of how automation technologies may impact equity and inclusion issues related to race, gender and class within...
The University of Michigan was awarded a $540,000 Project Grant from the National Science Foundation Division of Chemistry under the Mathematical and Physical Sciences program (CFDA 47.049) to conduct collaborative research on semiconducting behavior in silsesquioxane macromonomers and polymers from August 15, 2021 through July 31, 2024. As part of the Mathematical and Physical Sciences program's goals to promote progress in the mathematical and physical sciences and strengthen the nation's...
The National Science Foundation awarded a $233,967 project grant to the Regents of the University of Michigan to support research titled "NON-ASYMPTOTIC RANDOM MATRIX THEORY AND RANDOM GRAPHS" from July 1, 2021 to June 30, 2024. The grant was awarded under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise through increasing knowledge and enhancing understanding of major...
The University of Michigan will receive $356,135 over three years from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) to develop dynamic properties of elastic media using self-trained convolutional neural networks. The project aims to improve understanding of material behavior through computational modeling with neural networks. As the awardee, the University of Michigan will conduct this research from July 2021 through June 2024 at its Ann Arbor...
This $400,000 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a principled and unified mathematical framework for deep learning on low-dimensional data structures. The project aims to bridge the gap between theory and practice of deep learning by designing "white-box" deep neural networks using unrolled optimization schemes to maximize information gain in...