141-150 of 217 results
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Science and engineering proof of concept study for the Next generation Space Weather Prediction mission and space weather model development
PI Heidi Nykyri
Project analyzes astrodynamics (transfer trajectories) and spacecraft constellation stability about all Lagrange points for Mercury, Venus, Earth, Mars system for the "next generation" space weather prediction mission, and develops a solar wind model which will use data from this mission
Project analyzes astrodynamics and constellation stability for the "next generation" space weather prediction mission, and develops a solar wind model which will use data from this missionCategories: Faculty-Staff
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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.
Understanding the properties, origin and dynamics of energetic particles in the solar wind and magnetosphere is crucial for safe unmanned and manned space operations. Therefore, energetic particles have attracted attention from the space physics community for decades. However, different regions and energy ranges of energetic particles may have their own unique origin and role for magnetospheric dynamics, which have not been fully explored and deserve to be investigated case by case. For instance, MMS recently observed dispersionless micro-injections in the 30-300 keV electrons accompanied by strong anisotropic ion temperature at the high-latitude magnetospheric boundary layer in the vicinity of the exterior southern cusp. Due to the different magnetic field geometry, these high-latitude microinjections could have a totally different origin than the typical low-latitude microinjections. Because this region is close to the radiation belts, ionosphere, and magnetosheath, these high-latitude microinjections could be the ~ tens to hundreds of keV seed population of the radiation belts, as well as leak into the ionosphere or into the magnetosheath. This project will unravel the birth-mechanism of the source population of the Earth's radiation belts.Categories: Faculty-Staff
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Experimental Identification of Plasma Wave Modes
PI Heidi Nykyri
CO-I Rachel Rice
Project uses MMS data to identify plasma wave modes contributing to the heating of the magnetospheric boundary layer
Projects uses single and multi-spacecraft data-analysis techniques to experimentally identify various plasma modes at different frequencies and assess their contribution to plasma heatingCategories: Faculty-Staff
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CyberCorps Scholarship for Service: High-skilled Workforce Development for the Aviation and Aerospace Cybersecurity Domains
PI Omar Ochoa
CO-I Keith Garfield
CO-I Laxima Niure Kandel
CO-I Krishna Sampigethaya
This project promotes workforce development in this vital sector by building on undergraduate and graduate cybersecurity programs at Embry‑Riddle Aeronautical University (ERAU), where both ERAU campuses (Daytona Beach, FL and Prescott, AZ) have a history of collaborative education and research activities within the aviation and aerospace cybersecurity domain.
Aviation and aerospace cybersecurity is of critical importance to the Nation. As a key component of the overall U.S. transportation infrastructure, it protects people and contributes to American prosperity and leadership. This project promotes workforce development in this vital sector by building on undergraduate and graduate cybersecurity programs at Embry‑Riddle Aeronautical University (ERAU), where both ERAU campuses (Daytona Beach, FL and Prescott, AZ) have a history of collaborative education and research activities within the aviation and aerospace cybersecurity domain. Known locally as "Cyber Eagles," the project will advance the collaboration ecosystem across education programs and research centers to prepare students for productive cybersecurity careers and leadership roles in federal and state agencies. The program will recruit diverse scholars and create a supportive environment through effective mentorship, a well-developed curriculum, student involvement activities, and research experiences. These project components will help establish a pathway that enables students to participate in an environment where they can excel and enter a rewarding career in government aviation and aerospace administration agencies.
The project aims to develop a high-skilled workforce to cover the Nation’s needs in the area of aviation and aerospace cybersecurity, focusing on the safety-criticality aspects of airborne systems and the protection of associated hardware and software assets. The project will fund 20 scholarships to students over a five-year period. Student scholars will benefit from the strong ties that ERAU has with Federal and state aviation and transportation administration agencies and the aviation and aerospace industry. Scholars will have the opportunity to meet and learn from top cybersecurity engineers and managers from government and industry through aviation and aerospace-themed projects, events, and symposia hosted by ERAU. Furthermore, the project will take advantage of on-site expertise at ERAU in all computation and communication services related to flight operations, including airborne hardware and software, avionics equipment, and network and communication data links among aircraft, ground stations, radar systems, and satellite systems. This expertise places the scholarship students in a unique position to contribute to cybersecurity protection during the design, development, and operation stages of systems specific for the aviation and aerospace domain.
This project is supported by the CyberCorps® Scholarship for Service (SFS) program, which funds proposals establishing or continuing scholarship programs in cybersecurity and aligns with the U.S. National Cyber Strategy to develop a superior cybersecurity workforce. Following graduation, scholarship recipients are required to work in cybersecurity for a Federal, state, local, or tribal Government organization for the same duration as their scholarship support.
Categories: Faculty-Staff
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Expanding the Nation’s STEM Talent Pool by Accelerating Graduate Degree Completion in Computer, Software, and Cybersecurity Engineering
PI Omar Ochoa
CO-I Massood Towhidnejad
CO-I Debarati Basu
The project will increase student persistence in STEM fields by linking scholarships with a newly created effective ecosystem that combines evidence-based practices such as faculty mentoring, academic advising, participation in the learning community, professional development activities, guidance in acquiring internships and research opportunities.
This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by fostering student success and supporting the retention and graduation of domestic, high-achieving, low-income students with demonstrated financial need at the Embry‑Riddle Aeronautical University, a non-profit private institution. Over its six-year duration, this project will fund scholarships to 25 undergraduate students to pursue four-year bachelor’s degrees in Computer Science, Software Engineering, or Computer Engineering. Subsequently the scholars will pursue a one-year accelerated master’s degree in one of the following areas: Software Engineering, Electrical, and Computer Engineering, or Cybersecurity Engineering. First-year students will receive up to five years of scholarship support. The project will increase student persistence in STEM fields by linking scholarships with a newly created effective ecosystem that combines evidence-based practices such as faculty mentoring, academic advising, participation in the learning community, professional development activities, guidance in acquiring internships and research opportunities. With the help of mentors, the scholars will create individual development plans outlining their career goals and steps toward achieving those goals. The project will also include the evaluation of the impact of the ecosystem on supporting the academic success of scholars and the identification of best practices and lessons learned. This project will significantly contribute towards creating a model that actively engages students from groups underrepresented in STEM fields of study, broadens participation in STEM, and infuses 25 talented and diverse engineers with advanced degrees in engineering into the American workforce.
The overall goal of this project is to increase undergraduate and graduate STEM degree completion of domestic, low-income, high-achieving undergraduates with demonstrated financial need in STEM field. Three specific aims guide the project. First is to deliver financial support to domestic, low-income, high-achieving students who will pursue an undergraduate and accelerated master’s degree in engineering. Second is to leverage evidence-based practices to foster student success, increase retention and degree attainment. Third, and finally, is to evaluate the impact of the newly created ecosystem in supporting the academic success of scholars in engineering, and disseminate best practices and lessons learned. Little is known about the factors that affect the academic success of domestic, low-income, high-achieving undergraduate students in engineering fields at a private institution, and how factors such as gender, ethnic background and discipline impact their success, which is the focus of this project. Two research questions will be investigated in this project: (a) Does the academic success of scholars improve across the years by being part of this project? (b) What were the factors effecting the academic success of the scholars, and what are the accomplishments, best practices, and lessons learned from implementing the ecosystem for the scholars? This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.Categories: Faculty-Staff
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Machine Learning Engineering: Infusing Software Engineering through the Semantic Web
PI Omar Ochoa
The Semantic Web provides a wealth of high-quality, structured, and contextual data, which can be used to train machine learning models.
The Semantic Web provides a wealth of high-quality, structured, and contextual data, which can be used to train machine learning models. This can lead to the creation of models, i.e., the engineering of Machine Learning, that adhere to non-functional requirements, which include considerations such as safety, security, and reliability, which are key elements of Software Engineering. These requirements do not concern a system's functionality, but rather its quality attributes. By incorporating these concepts into the engineering of machine learning models, one can strive to create models that are secure, reliable, and exhibit the desired quality attributes. Furthermore, Verification and Validation, or V&V, is integral to successful software engineering, by ensuring that a system is implemented correctly and meets specified requirements. In engineering Machine Learning, it's equally important to define processes and methods to thoroughly test and validate models to ensure they're performing as expected and providing accurate results. Together, the fusion of Software Engineering principles into Machine Learning Engineering, aided by the Semantic Web's capabilities, can bolster trustworthiness in machine learning systems. This trustworthiness ensures that the systems can be relied upon to behave as expected. In essence, by combining these fields, one can develop machine learning systems that are reliable, secure, interpretable, and trustworthy, upholding the core principles of Software Engineering. Our research group focuses on the most recent developments in these areas, i.e., Knowledge Graphs and Large Language Models, to accomplish these goals.
Categories: Faculty-Staff
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Examining and addressing the content knowledge development needs of Florida's aspiring and newly-qualified mathematics teachers
PI Catherine Paolucci
CO-I Darryl Chamberlain
CO-I Christopher Redding
CO-I Sam Vancini
CO-I Ashley Reese
This project aims to support content knowledge development for secondary mathematics teachers, particularly those whose pathway to certification has included limited post-secondary studies of mathematics.
This project aims to support content knowledge development for secondary mathematics teachers, particularly those whose pathway to certification has included limited post-secondary studies of mathematics. Initially, it will focus on teachers in Florida who do not have a degree in mathematics or a relevant field and have earned temporary certification by taking the 6-12 Mathematics Subject Area Exam (SAE-Math). Longer term, it aims to serve teachers with similar backgrounds on a national level.
Researchers recognize mathematical knowledge as an influential factor in teachers’ classroom practice (Ball, Thames & Phelps, 2008; Goldsmith, Doerr, & Lewis, 2014; Lampert, 2001) and have established the potential for advanced mathematical studies to positively impact their mathematical knowledge for teaching (Paolucci, 2015). Therefore, it is reasonable to expect teachers with little or no mathematical studies beyond their own K-12 mathematics education to require support similar to that needed by out-of-field mathematics teachers – qualified teachers assigned to teach mathematics when it does not match their subject area training (Hobbs & Törner, 2019; Ní Ríodáin, Paolucci, & O’Dwyer, 2017). This is of particular concern given links between out-of-field teaching and teacher quality and research suggesting that teachers most often teach out of field in schools where students are already underserved (Ingersoll, 2002; Nguyen & Redding, 2018).
In Florida, aspiring mathematics teachers with undergraduate degrees in unrelated fields can still earn temporary certification by passing the SAE-Math, which allows them to immediately begin teaching. Many then enroll in programs designed to meet professional certification requirements (e.g. UF’s Educator Preparation Institute (EPI)); however, because they have passed the SAE-Math, no content-focused coursework is required. As a result, preparation for the SAE-Math can be the primary means by which they develop the content knowledge needed to teach, prior to entering the classroom.
With this in mind, this project aims to examine the content knowledge development needs of Florida’s temporarily certified mathematics teachers, with a focus on those who were required to take the SAE-Math because they did not have an undergraduate degree in or related to mathematics. The following short-term goals apply to work expected to be completed during the 12-month CRIF funding period:
Goal 1: Establish baseline trends in the mathematical backgrounds, knowledge, and experiences of Florida’s aspiring and newly-certified mathematics teachers to better understand their content knowledge development needs.
This is valuable information for mathematics teacher educators and teacher education programs throughout Florida committed to offering professional certification pathways that better support content knowledge development.
Goal 2: Create an online dynamic assessment tool that addresses gaps and weaknesses in alternatively- certified teachers’ content preparation and supports content knowledge development aligned with Florida’s B.E.S.T. standards.
Outcomes from these two goals will inform preparation of a federal funding proposal with the following long-term goals that build on the work completed during the CRIF funding period:
Goal 3: Expand and measure the statewide impact of the dynamic assessment tool through partnership with school districts and institutions currently offering Florida’s 24 state-approved EPI programs.
Goal 4: Scale implementation and impact measurement to a national level through analysis of other state certification exams that can inform online learning tools for a range of certification pathways and programs designed to support out-of-field teachers (e.g. Teach for America).
Findings from this research will contribute to two areas of mathematics education research – understanding and addressing the needs of out-of-field mathematics teachers (Hobbs & Törner, 2019; Ní Ríodáin et al., 2017) and teachers’ development of the specialized content knowledge that has been linked to classroom practice (Ball et al., 2008). It is also likely to have state and policy implications for teacher education. In particular, the research will contribute insight to an ongoing international debate about the amount and nature of the mathematics content that should be required for teacher preparation.
An array of theoretical frameworks concerning the knowledge required for teaching mathematics have been developed by key researchers in the area (e.g. Ball et al., 2008; Davis & Renert, 2013; Rowland & Ruthven, 2011; Tatto et al., 2012). Such models provide guidance for designing experiences that target teacher knowledge development (Chapman, 2013), and particularly in this context, thinking about the development alternatively certified mathematics teachers. This project will incorporate and build on this work. The findings will also be valuable for mathematics teacher education in Florida as the state shifts to its new B.E.S.T. state standards in 2022.
Categories: Faculty-Staff
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Mobile Technology in Higher Education: An Extended Technology Acceptance Perspective
PI Dennis Pires
PI Leila Halawi
The study provides an important theoretical framework for decision-making for educational institutions as they seek improvement in user acceptance of technology in the higher education setting. The study adds to the knowledge in the field of information technology by providing statistical research that uses path analysis to disentangle the various causal processes underlying the acceptance of technology in higher education. In this study, the research addresses the following question: Are the constructs of perceived resources, perceived ease of use, perceived usefulness, and attitude towards use significant predictors of educators’ acceptance of mobile technology in higher education as defined by actual use?
The objective of this research study is to study the mobile technology acceptance of educators in the higher education industry in the United States. This study will utilize the Chen et al. (2013) extended technology acceptance model, that extended the original Davis (1989) TAM. In this research study, Chen et al. (2013) survey instrument will provide the necessary tool to collect data. Preliminary results show statistical significance exist in relationships across the assessed factors of perceived usefulness, perceived ease of use, perceived usefulness, attitude toward use, and behavioral intention, that contribute to the acceptance of mobile technology in higher education. The implications of the study are that institutions face a challenging task to understand the technology acceptance of educators as they incorporate the use of mobile technology to support their work and improve instructional practices. (Chen, B., Sivo, S., Seilhamer, R., Sugar, A., & Mao, J., 2013) and (Davis, F. D., 1989).
Categories: Faculty-Staff
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What Differentiates Superior Performing Aviation and Aerospace Leaders
PI Linda Pittenger
The requirements of leaders today are radically different than just a couple years ago. Leaders need to be able to manage change, think critically, act globally, think technologically, and successfully lead a diverse workforce. Specific behavioral competencies may distinguish superior performing leaders from average performing leaders
This qualitative study will examine the differences between average and superior aviation and aerospace leaders to uncover what differentiating behavioral competencies might predict superior performance in the leadership role.Categories: Faculty-Staff
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Matrix Analysis and Operator Theory
PI Edward Poon
Matrices and operators are ubiquitous throughout science, engineering, and mathematics; they are the transformations that arise whenever one studies a linear system (or approximates a nonlinear system by a linear one). Examples include rotations and reflections (rigid motions of space), spin operators (quantum mechanics and quantum computing), stress tensors (mechanics), regression and curve fitting (statistics and data analysis), derivatives and linear differential operators (dynamical systems), to name just a few. By studying various properties, relations, and transformations of matrices and operators one may obtain insight into a wide range of phenomena.
One particular class of problems of interest is the study of preservers. For example, if M_n denotes the space of n x n matrices, one might ask for a complete classification of the isometries preserving a fixed norm. More generally, given any (possibly multi-valued) function f of a matrix (such as its determinant, rank, eigenvalues, singular values, numerical range, etc) one can ask for a description of the maps T:M_n -> M_n satisfying f(T(A)) = f(A) for all A in M_n; in this case one says that T preserves f. Usually one imposes some additional structure on T, requiring that it be linear, or simply additive, or multiplicative, and so on. One might also wish to describe those maps T leaving certain special subsets of matrices invariant (such as projections, unitaries, rank one matrices, etc.). A broad range of tools and concepts are used in solving such preserver problems; for example, consideration of the dual norm, coupled with convexity arguments, can be handy in classifying isometries, while majorization may appear in problems involving eigenvalues, singular values, and unitarily invariant norms. Currently, investigation is being conducted on isometries of certain matrix subalgebras, as well as preservers of certain collections of projections.
Categories: Faculty-Staff
141-150 of 217 results