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...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $166,924 aims to enhance privacy leak detection in mobile applications by identifying and analyzing sources of domain-sensitive user data. The key products and services to be delivered include: Conducting a crowdsourcing study to categorize domain-sensitive data within mobile app user interfaces. Developing a novel approach using static and...
This $150,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Computer and Network Systems under the CFDA Program 47.070 "Computer and Information Science and Engineering". The award, effective July 1, 2023 through June 30, 2024, supports collaborative research on safeguarding the emerging "miniapp" paradigm within mobile "super apps". The research aims to investigate new security and privacy threats, design secure miniapp APIs, and...
The National Science Foundation (NSF) awarded a $174,555 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the President and Board of Trustees of Santa Clara College. This grant will fund the development of a Systematic Mobile App Review (SMAR) tool and guidelines to assist researchers in evaluating mobile apps at scale across domains such as education, health, and mental health. The project aims to create a web-based tool that can scrape mobile...
This $299,964 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting research to enhance how computers understand and recognize shapes in images and 3D data. The project aims to develop new deep learning frameworks that can better identify critical object parts and their spatial relationships, allowing computers to perceive objects more like humans do. Key anticipated outcomes include...
The National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) awarded the University of Rochester $147,846 on June 15, 2024 to conduct research on security vulnerabilities in mobile computing platforms with shared memory. The project aims to uncover security threats that could enable malicious parties to circumvent protection mechanisms and extract sensitive information by monitoring data access patterns. The research will...
This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) focuses on developing a real-time crowd-sourced geospatial digital twin (GDT) for cyber-physical systems. The research aims to enhance the delivery of vital information, such as images, videos, and text, to smart mobile devices like smartphones and tablets in a timely and effective manner. The project will investigate approaches to ensure...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $174,999 provides funding to the Research Foundation of the City University of New York (RFCUNY) - Brooklyn College to develop a depth estimation system using wireless sensors and cameras. The key products and services to be delivered under this 2-year project grant include: 1) Collecting a large-scale dataset of human activity and gesture recognition data using...
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...
This federal Project Grant award, with a total funding amount of $240,900, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award, with an effective date of September 1, 2024 and an ultimate completion date of August 31, 2027, is for a collaborative research project titled "Developing Educational Resources for the Ethical Use of Pervasive Data." The project aims to address the ethical issues...