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Displaying 289-300 of 436 Results

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NSF-DMS: Conference: Exchange of Mathematical Ideas Conference 2023

  • PI Douglas Mupasiri

    CO-I Sirani Mututhanthrige Perera

    CO-I Michael Prophet

    CO-I Hisaya Tsutsui

  • This award supports participation in the Exchange of Mathematical Ideas Conference which took place August 11-13, 2023 at the University of Northern Iowa in Cedar Falls, IA.
NSF-DUE: Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities

  • PI Hong Liu

    CO-I Sirani Mututhanthrige Perera

    CO-I Ming Wang

    CO-I Michael Wolyniak

    CO-I Sheldon Liang

  • This project aims to serve the national interest by improving undergraduate education in data science. This project will develop and deliver ten Data Sciences (DS) courses to students from a consortium of eleven diverse universities by using a flexible distributed learning (DL) platform.
NSF-ECCS: Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning

  • PI Sirani Mututhanthrige Perera

  • This SWIFT project will demonstrate a system for spectral situational awareness through radio frequency (RF) machine learning (ML). The key objective is to obtain actionable spectrum intelligence in the sub-6 GHz legacy bands through a real-time understanding of waveform shapes, spectral content, and modulation schemes.
NSF-ECCS: Collaborative Research: Wideband Multi-Beam Antenna Arrays: Low-Complexity Algorithms and Analog-CMOS Implementations

  • PI Sirani Mututhanthrige Perera

    PI Arjuna Habarakada Madanayake

  • Explosion of millimeter-wave (mm-wave) bandwidth opens up applications in 5G wireless systems spanning communications, localization, imaging, and radar. This project addresses challenges in mathematics, engineering, and science in developing efficient wideband beamformers based on sparse factorizations of the matrix called-delay Vandermonde matrices (DVM). The proposed highly integrated approach is attractive for mobile applications including 5G smart devices, the internet of things, mobile robotics, unmanned aerial vehicles, and other emerging applications focused on mm-waves.

NUMERICAL SIMULATIONS OF SYNTHETIC JET ACTUATOR-BASED ICE PROTECTION SYSTEMS

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Oil for Terrorism: Examining the Effectiveness of Western Intervention in ISIS’s Oil Smuggling

  • CO-I Rae Heuer

    CO-I Elisabeth Murray

  • The Terrorist organization ISIS has been identified as a violent, radical group that poses a threat to both the regional and international arena. By gathering both primary and secondary research data from foreign and domestic sources, this project investigates whether ending ISIS’s oil smuggling would decrease ISIS’s strength, power, and influence as a terrorist organization.
On the climatology, multiscale dynamics, and predictability of convective snow bursts in the northern United States

  • PI Shawn Milrad

  • The goal is to broadly address non-lake effect snow squalls (hereafter referred to as “snow bursts”), defined as short-duration (< 6 h) mesoscale phenomena that can have substantial impacts on aviation and human interests during the cool season.
On The Origin and Transport of Energetic Particles

  • PI Heidi Nykyri

    CO-I Xuanye Ma

  • Understanding the properties, origin and dynamics of energetic particles in the solar wind and magnetosphere is crucial for safe unmanned and manned space operations. This project will  unravel the birth-mechanism of the source population of the Earth's radiation belts.

On the synoptic-dynamic characteristics of extreme precipitation events: Understanding and quantifying the role of anticyclones

  • PI Shawn Milrad

  • This work represents an initial step towards further understanding and quantification of the importance of anticyclones, including their role in air mass modification (i.e., the transport of warm, moist air).
Open-Source Validation and Verification Framework for AI-Controlled Aerial Vehicles

  • PI M. Ilhan Akbas

  • The goal of this project is to develop a simulation framework to streamline the testing and validation of AI-controlled aerial vehicles. The Artificial Intelligence (AI) design and verification flow consists of the digital environment creation process, an open-source AI-controlled autopilot, access to multiple open-source simulators, symbolic test generation engine, example test scenarios, and native design-for-experiment layer for each of the major subsystem of an AI-controlled aerial vehicle.
OPTIMIS: Optimizing Human Performance in the Air Transportation Sector by Integrating Human Factors into Homeland Security Deterrence and Detection Procedures and Training: System Interfaces and Behavioral Screening at Security Checkpoints (Embry-Riddle Aeronautical University Undergraduate Research Collaborative Grants Program 2023)
  • This project addresses human performance optimization in commercial air transportation by integrating human factors principles into homeland security deterrence and detection tasks, procedures, training, and technology interfaces at airport security checkpoints.
Optimizing Countermeasures for Spaceflight-Induced Deconditioning

  • PI Christine Walck

  • This research focuses on understanding space deconditioning and developing comprehensive systems to mitigate the adverse physiological effects of microgravity on astronauts.