Directorate for Computer & Information Science & Engineering - (Arlington, Virginia, United States) Organization

awards grant

• BIGDATA: Collaborative Research: F: Efficient and Exact Methods for Big Data Reduction
• BIGDATA: Small: DCM: Collaborative Research: An efficient, versatile, scalable, and portable storage system for scientific data containers
• Breaking Risk Habituation to Occupational Hazards using Virtual Reality Interventions with Aversive Sensory Feedback
• CAREER: A Dynamic Program Monitoring Framework Using Neural Network Hardware
• CAREER: Physics-Constrained Modeling of Molecular Texts, Graphs, and Images for Deciphering Protein-Protein Interactions
• CC* CIRA: Building Research Innovation at Community Colleges
• CC* Team: SWEETER -- SouthWest Expertise in Expanding, Training, Education and Research
• CHS: Medium: Collaborative Reearch: Bio-behavioral data analytics to enable personalized training of veterans for the future workforce
• CHS: Small: Creating a VR Workspace for Design by Physical Manipulation
• CIF: Small: Communication-Aware Decentralized Game-Theoretic Learning Algorithms for Networked Systems with Uncertainty
• CIF: Small: Numerically-Stable Large-Scale Coded Distributed Computing
• Collaborative Research: Adaptive explicit and implicit feedback in second language pronunciation training
• Collaborative Research: CIF: Small: Beyond Compressed Sensing: Analog Coding for Communications
• Collaborative Research: CIF: Small: Communication, Storage, Complexity, and Security: A Holistic View on the Fundamental Limits and Code Designs for Private Information Retrieval
• Collaborative Research: CNS Core: Medium: Learning to Cache and Caching to Learn in High Performance Caching Systems
• Collaborative Research: EAGER: Foundations of Secure Multi-Robot Computation
• EAGER: Documenting and Analyzing Use of Robots for COVID-19
• Frontera Travel Grant: Fundamental Studies of Compressible Turbulence and Turbulent Mixing
• I-Corps Sites - Type I: Texas A&M University I-Corps Site (TAMU-iSite)
• III: Medium: Collaborative Research: Towards Scalable and Interpretable Graph Neural Networks
• III: Small: Collaborative Research: Demystifying Deep Learning on Graphs: From Basic Operations to Applications
• III: Small: Collaborative Research: Structured Methods for Multi-Task Learning
• III: Small: Deep Learning for Gene Expression Pattern Image Analysis
• MRI: Acquisition of FASTER - Fostering Accelerated Sciences Transformation Education and Research
• Phase II IUCRC Texas A&M University: Center for Unmanned Air Systems C-UAS
• RAPID: Accelerated Testing for COVID-19 using Group Testing
• RAPID: Collaborative Research: Data Mining and Fusion Between Unmanned Aerial Systems and Social Media Technologies to Improve Emergency Operations
• RAPID: Electronic Tattoos for Detection of Pre-symptoms of Infection
• SCC-PG: Advanced Learning for Energy Risk Tracking (ALERT)
• SCC-PG: Fostering Aging-in-Place and Autonomy in Elderly Persons through Intelligent Tracking
• SCH: INT: Collaborative Research: An Intelligent Pervasive Augmented reaLity therapy (iPAL) for Opioid Use Disorder and Recovery
• SCH: INT: Personalized Models of Nutrition Intake from Continuous Glucose Monitors
• SHF: Small: Pa3S: Towards Pointer Analysis as a Service
• SHF: Small: Software/Hardware Acceleration Architectures for Low-Tail-Latency QoS Provisioning Based Data Centers
• SaTC: CORE: Small: Collaborative: Exploring the Boundaries of Large-Scale Secure Computation
• SimHUB: Enabling Multidisciplinary Collaboration with Containerization Technologies