The National Science Foundation awarded a $180,009 Project Grant to Rutgers, The State University Of New Jersey, for research titled "COLLABORATIVE RESEARCH: LANGEVIN MARKOV CHAIN MONTE CARLO METHODS FOR MACHINE LEARNING." The award period is from June 1, 2021 to May 31, 2024. The grant falls 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 increased knowledge and...
Rutgers, The State University was awarded a $600,000 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 will support collaborative research on Dynamic Tensors from September 1, 2021 to August 31, 2024. Through this funding, Rutgers researchers will conduct statistical methods development, theoretical work, and applied research on tensor decompositions to analyze multiway,...
The National Science Foundation (NSF) awarded a $100,000 Project Grant under its Integrative Activities program (CFDA 47.083) to Rutgers, The State University located in Piscataway, New Jersey. The three-year grant, awarded on August 1, 2023, will fund research to develop novel statistical inference tools and computationally efficient approaches for reinforcement learning in high-dimensional, non-identically distributed data settings. Key focus areas include statistical inference for...
Rutgers, The State University was awarded a $199,999 Project Grant from the National Science Foundation Division of Mathematical Sciences on July 1, 2021, with a completion date of June 30, 2024. The grant is funded through the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise. Under this award, Rutgers will conduct research to infer historical network patterns and dynamics using...
Rutgers, The State University was awarded a $1,265,946 Project Grant from the National Science Foundation Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of October 1, 2021 through September 30, 2025. The grant funds collaborative research titled "Machine Learning and Robotics for the Data-Driven Design of Protein-Polymer Hybrid Materials." The research appears aimed at advancing the use of machine learning and robotics...
Rutgers, The State University was awarded a $749,708 project grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund the "FMITF: TRACK I: SYNTHESIS AND VERIFICATION FOR PROGRAMMATIC REINFORCEMENT LEARNING" project from October 1, 2021 through September 30, 2025. The project aims to advance the development and use of research cyberinfrastructure to enable and accelerate discovery and innovation in...
Rutgers, The State University was awarded a $339,602 project grant from the National Science Foundation Division of Undergraduate Education under the STEM Education program (CFDA 47.076) for the period of September 1, 2021 through August 31, 2023. The grant funds the development of a machine learning student behavior model to identify struggling students in introductory computer science courses. The model will analyze academic and engagement data to predict which students may need additional...
Rutgers, The State University was awarded a $499,926 project grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research from October 2021 through September 2024 to enable interpretable artificial intelligence via Bayesian deep learning. The Computer and Information Science and Engineering program supports investigator-initiated research and education in all areas of computing, communications, and...
Rutgers, The State University will receive $230,383 under a three-year Project Grant from the National Science Foundation's (NSF) Division of Information and Intelligent Systems within the Computer and Information Science and Engineering Directorate. The grant funds a research project to develop targeted protein editors guided by novel machine learning approaches to enable in situ precision editing of proteins. A team led by Drs. Sagar Khare, Jean Baum, Adam Gormley, Guillaume Lamoureux, and...
This $289,999 National Science Foundation project grant, awarded under the Mathematical and Physical Sciences program (CFDA 47.049), will fund the development of improved statistical methods, algorithms, and theory for estimation and inference with high-dimensional data at Rutgers, The State University from July 2022 through June 2025. Key products include new statistical methods for regularized estimation, de-biased statistical inference including confidence intervals and regions, and empirical...