This $175,822 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports Cornell University in developing an online learning framework for socially emerging mixed mobility systems. The goal is to create an equitable transportation system that improves safety, efficiency, and traveler acceptance by merging learning and control approaches. The framework will use mechanism design theory and contextual...
Cornell University was awarded a four-year, $890,000 project grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research titled "Collaborative Research: RI: Medium: Robust Perception through End-User Adaptation" from October 1, 2021 through September 30, 2025. The project aims to advance the development of robust perception technologies through end-user adaptation and customization. As part...
Cornell University received a $946,238 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The grant will fund research from January 1, 2022 to December 31, 2026 titled "CAREER: ALGORITHMIC FOUNDATIONS FOR DEMAND-RESPONSIVE TRANSIT SYSTEMS - CREATING MORE EQUITABLE AND SUSTAINABLE CITIES THROUGH BETTER TRANSIT." The research aims to develop algorithmic solutions to...
This $175,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Texas Tech University from April 2022 to March 2024 related to developing novel modeling, control, and optimization methods for connected and automated vehicles. The research aims to improve the efficiency and sustainability of urban transportation systems while respecting individual...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support research to establish a framework for designing and implementing safe learning-enabled systems. The $399,965 award to Cornell University, with a period of performance from October 1, 2024 to September 30, 2027, aims to develop methods for ensuring the safety of learning-enabled systems, even in complex operating environments,...
Cornell University was awarded a three-year, $384,616 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program to develop new reinforcement learning algorithms and personalized voice navigation systems. The goal of the research is to create reinforcement learning techniques that can learn efficiently using minimal training data, which could enable applications where data is expensive to collect, such as autonomous vehicles adapting quickly...
This $300,726 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to investigate the security and resiliency of collaborative autonomous driving (COAD) systems. The project, titled "COLLABORATIVE RESEARCH: SATC: CORE: SMALL: NSF-DST: TOWARDS SECURE AND RESILIENT COLLABORATIVE AUTONOMOUS DRIVING (COAD)", is a collaborative effort between researchers at the University at Buffalo, UC Irvine,...
Cornell University was awarded a three-year, $399,999 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research collaborations to hybridize trusted execution environments and secure multiparty computation. Specifically, the university researchers will work to advance the development of research cyberinfrastructure that enables and...
This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $225,974 to Cornell University to investigate how technological augmentations can enhance the learning and effectiveness of work teams, community groups, classrooms, and other collectives. The research examines the parameters that drive group-directed learning in areas such as cooperative behavior, collective intelligence, and collective creativity. The...
This three-year Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $544,613 to Cornell University to study how emerging digital technologies are transforming occupations and organizations in dairy farming. Specifically, the research will explore evolving relationships in digital agriculture and their occupational and organizational consequences, generalize...