This Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) (CFDA #47.041 - Engineering) provides $499,500 to the University of Connecticut for research to establish a universal theoretical and computational framework to improve the flow of 3D geometric information from engineering design into analysis and manufacturing. The framework aims to eliminate inefficiencies in 3D shape modeling and processing throughout the...
This National Science Foundation project grant of $562,918 supports research at the University of Connecticut from October 2022 through September 2025 under the Engineering program (CFDA 47.041). The research aims to develop novel computational techniques to efficiently design multi-functional lattice structures using triply periodic minimal surfaces for additive manufacturing. The techniques will take into account strength, durability, transport properties and manufacturability for applications...
This $248,882 federal Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program on June 1, 2024, supports research to address the "curse of dimensionality" in high-dimensional geometric optimization problems. The project, led by the University of Pennsylvania, aims to develop efficient algorithms and foundational principles for solving challenging geometric optimization problems that become intractable as data...
This Project Grant award from the National Science Foundation provides $594,059 in funding to Michigan Technological University from October 1, 2022 to September 30, 2025. The award supports research into fundamental geometric data structures under the Computer and Information Science and Engineering program (CFDA 47.070). Specifically, the Principal Investigator and their students will study problems involving orthogonal range searching, point location, nearest neighbor queries, and dynamic...
The National Science Foundation awarded a $346,983 Project Grant to the University of Connecticut (UConn) under the NSF's Engineering program (CFDA 47.041) to develop scalable deterministic global optimization (DGO) algorithms and open-source software. The project aims to enable the solution of higher complexity models involving nonlinear equations by exploiting parallel computing architectures like graphical processing units (GPUs). The research will generate methods for automatically...
This $362,568 Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) to Duke University aims to develop advanced computational methods for analyzing mechanical systems with imperfect or uncertain geometries. The project will combine the Shifted Boundary Method (SBM), an immersed geometry computational technique, with Probabilistic Subdivision Surfaces (PSS) to enable robust and efficient computer-aided...
This $170,979 National Science Foundation award under the Computer and Information Science and Engineering program will support the development of an online 3D model search engine called SRCH3D. The engine will enable non-technical end users to efficiently search a large repository of existing proven part designs for additive manufacturing. Researchers at the Georgia Tech Research Corporation will build on computer vision techniques and deep learning algorithms to develop methods for 3D object...
This $1.2 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research into the fine-grained complexity of basic geometric problems from June 2022 through May 2025. The principal investigator at the University of Illinois will apply conditional proof techniques to establish new reductions between geometric optimization, searching, data structures, point cloud matching, and other problems. The goal is to prove conditional...
The National Science Foundation (NSF) has awarded a $599,468 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Texas at Austin. The grant, titled "HCC:SMALL: NEURAL SHAPE GENERATORS UNDER GEOMETRIC, PHYSICAL, AND TOPOLOGICAL PRIORS -SHAPE SYNTHESIS?CREATING FORMAL DESCRIPTIONS OF NOVEL 3-D SHAPES," will fund research to develop a computational framework that incorporates physical, topological, and geometrical preferences...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, San Diego (UCSD) to develop theoretical frameworks and computational methods for reconstructing complex 3D shapes using neural implicit representations. The key objectives are to enable the reconstruction of 3D shapes with intricate topologies, such as objects with holes, and to allow...