This $749,997 National Science Foundation project grant supports research into robust enforcement of customizable resource constraints in heterogeneous embedded systems. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the three-year award running from October 2021 to September 2024 will advance development of techniques to enable and accelerate discovery and innovation in computing, communications, and information science at the Colorado School of...
This $438,342 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to develop efficient and rigorous techniques for solving complex, multi-objective decision-making problems under uncertainty. The research aims to facilitate tradeoffs among multiple objectives while using statistically valid algorithms to achieve high efficiency. Key approaches include novel comparison techniques, data recycling, computer simulation, and parallel...
Colorado State University's Sponsored Programs division will provide $299,942 in research services over three years under a Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070). The university will conduct collaborative research to develop new techniques in algorithms and complexity analysis to understand how global constraints influence the tractability of sampling and optimization problems on probabilistic graphical models....
This $438,168 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to significantly advance the theoretical and algorithmic foundations of multi-objective optimization (MOO). The primary goals are to develop new stochastic MOO algorithms, efficient multi-objective bilevel optimization methods, and fairness-aware MOO frameworks. The research outcomes are expected to have broad impacts across wireless communications, multi-agent systems,...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $450,000 to Colorado State University (CSU) from August 1, 2024 to July 31, 2027. The project aims to develop a novel adaptive, fully anisotropic multiscale hp-element method to revolutionize simulation-based design in computational electromagnetics (CEM). The research will create exponentially convergent techniques to accurately and efficiently model multiscale, non-smooth behavior...
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Colorado State University. This two-year planning effort aims to develop an inclusive vision for sustainable high-performance computing (HPC) at the university to support data-driven knowledge discovery. The award will fund campus workshops and planning sessions to foster stakeholder engagement, broaden participation in data-intensive...
This $299,977 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop AI-powered approaches to address challenging societal problems in the areas of drought resilience, emissions reduction, and infectious disease response. The overarching goal is to establish theoretical and algorithmic foundations for responsible and equitable AI-powered sequential, collective decision-making. The...
This $211,135 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to expand and improve the use of stochastic simulation models for optimal decision-making under uncertainty. The award, with a performance period from July 2024 to June 2027, will enhance the SIMOPT testbed of simulation optimization problems and solvers, making it more powerful, widely applicable, and aligned...
This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) (CFDA 47.070) Project Grant award of $108,000 to the Georgia Tech Research Corp, Office of Sponsored Programs, will fund collaborative research to develop a unified framework for analyzing adaptive stochastic optimization methods for machine learning applications. The research aims to produce self-tuning optimization algorithms with rigorous guarantees to reduce wasteful computation required by current...