Dissertation Defense Announcements

Candidate Name: Fahim Al Hasnain
Title: Power system oscillation identification, classification and control through subspace identification
 March 14, 2023  9:00 AM
Location: EPIC 2224
Abstract:

Modern power systems are complex in nature. Accurate knowledge and estimation of the electro-mechanical modes in the power system are of great importance since a system-wide outage can be caused by one single unstable mode of oscillation. Hence, advanced mathematical tools and signal processing methods are necessary to estimate the electro-mechanical modes of the power system. There have been several incidences where system breakups and power outages happened due to an undamped mode and all of these events exhibited sustained low-frequency inter-area oscillations which typically are in the range of 0.15Hz to 1Hz. Model-based frequency studies have been established for a long time. However, model-based studies cannot anticipate every kind of event in real-time because the power system is nonlinear, time-varying and difficult to represent in its full higher-order dynamics. Besides, the power grid is stochastic with the advent of renewables and changing load dynamics, which means that it is expected to be excited by random signals all the time; most of them come from random load changes and noises. Due to these factors, Recently, measurement-based power grid mode estimation has attracted great attention.

Through this research work, first a comparison of various measurement-based electro-mechanical oscillation mode detection methods are studied. Several techniques can identify oscillatory modes from ring-down data or ambient data obtained from measurement. Generally, ring-down events occur during the sudden changes in grid operation due to faults, generator outages, or controller operations of the generator. Ambient data changes are rather slow varying close to the steady-state operation of the grid due to small changes in the load or such events. Among the measurement-based techniques, Prony analysis, Eigenvalue Realization Algorithm (ERA) and Matrix Pencil (MP) methods are noteworthy. These methods have successfully been used to determine low-frequency oscillatory modes from measurement data. Recently Subspace Identification (SSI) methods have become popular as they are robust to variations, and can be represented in state-space form thus making it easier for designing time-domain control approaches. As a result, an online wide-area direct coordinated control architecture for power grid transient stability enhancement based on subspace identification and Lyapunov energy functions has been studied. Also, a novel combined deterministic-stochastic online measurement-based identification framework using subspace theory is introduced. The novelty of the design using a fully recursive algorithm and the effectiveness of combined treatment are further discussed. Third, an approach for power system oscillatory mode estimation and classification based on the proposed method are discussed. For controlling electro-mechanical oscillations of power system effectively, identifying the location of oscillation source is very important. Identifying the location of oscillatory mode based on Lyapunov energy functions is also being explored in this work. Identifying oscillation source location is as important as identifying the mode itself. The most commonly used method for identifying oscillation source location based on measurement data is dissipated energy flow (DEF) method. In this work, a new method is proposed and performance against dissipated energy flow method is being explored. Finally this work explores grid following and grid forming control architecture and their usage for integrating distributed energy resources (DERs) into existing grid technology. Integrating different distributed energy resources into current grid can cause some stability issue. This work explains grid following and grid forming technologies and use of identification method to observe low frequency oscillation for DER connection.



Candidate Name: Fahim Al Hasnain
Title: Power system oscillation identification, classification and control based on subspace identification
 March 14, 2023  9:00 AM
Location: EPIC 2224
Abstract:

Accurate knowledge and estimation of the electro-mechanical modes in the power system are of great importance since a system-wide outage can be caused by one single unstable mode of oscillation. Most of these unstable mode of oscillations are inter-area oscillations which typically are in the range of 0.15Hz to 1Hz. Generally oscillation identification and damping are performed based on Model-based frequency studies. However, the stochastic nature of modern power grid with the advent of renewables and changing load dynamics, and nonlinear interactions makes the oscillation study with apriori models inaccurate and inefficient. Due to these factors, recently, measurement-based power grid mode estimation has attracted great attention.

In this research work, a series of measurement-based oscillation identification methods are proposed. First, a comparison of various measurement-based electro-mechanical oscillation mode detection methods is studied. Among the measurement-based techniques, Prony analysis, Eigenvalue Realization Algorithm (ERA), and Matrix Pencil (MP) methods are found to be very useful. These methods have successfully been used to determine low-frequency oscillatory modes from measurement data. Recently, Subspace Identification (SSI) methods have become popular as they are robust to variations, and can be represented in state-space form, thus making it easier for designing time-domain control approaches. Thus, second, an online wide-area direct coordinated control architecture for power grid transient stability enhancement based on subspace identification and Lyapunov energy functions has been designed and studied. Third, a novel hybrid deterministic-stochastic online measurement-based identification framework using subspace theory is introduced. The novelty of the design using a fully recursive algorithm and the effectiveness of combined treatment are further discussed. For controlling electro-mechanical oscillations of the power system effectively, identifying the location of the oscillation source is very important. Thus, fourth, an approach for power system oscillatory mode estimation and classification and source location identification based on Lyapunov energy functions are proposed. This new method is then compared with the most commonly used method known as dissipated energy flow (DEF). Finally, this work explores grid following and grid forming control architecture of battery energy storage and the use of identification methods to observe low-frequency oscillation with Distributed Energy Resource (DER) connections.



Candidate Name: Fahim Al Hasnain
Title: Power system oscillation identification, classification and control based on subspace identification
 March 14, 2023  9:00 AM
Location: EPIC 2224
Abstract:

Accurate knowledge and estimation of the electro-mechanical modes in the power system are of great importance since a system-wide outage can be caused by one single unstable mode of oscillation. Most of these unstable mode of oscillations are inter-area oscillations which typically are in the range of 0.15Hz to 1Hz. Generally oscillation identification and damping are performed based on Model-based frequency studies. However, the stochastic nature of modern power grid with the advent of renewables and changing load dynamics, and nonlinear interactions makes the oscillation study with apriori models inaccurate and inefficient. Due to these factors, recently, measurement-based power grid mode estimation has attracted great attention.

In this research work, a series of measurement-based oscillation identification methods are proposed. First, a comparison of various measurement-based electro-mechanical oscillation mode detection methods is studied. Among the measurement-based techniques, Prony analysis, Eigenvalue Realization Algorithm (ERA), and Matrix Pencil (MP) methods are found to be very useful. These methods have successfully been used to determine low-frequency oscillatory modes from measurement data. Recently, Subspace Identification (SSI) methods have become popular as they are robust to variations, and can be represented in state-space form, thus making it easier for designing time-domain control approaches. Thus, second, an online wide-area direct coordinated control architecture for power grid transient stability enhancement based on subspace identification and Lyapunov energy functions has been designed and studied. Third, a novel hybrid deterministic-stochastic online measurement-based identification framework using subspace theory is introduced. The novelty of the design using a fully recursive algorithm and the effectiveness of combined treatment are further discussed. For controlling electro-mechanical oscillations of the power system effectively, identifying the location of the oscillation source is very important. Thus, fourth, an approach for power system oscillatory mode estimation and classification and source location identification based on Lyapunov energy functions are proposed. This new method is then compared with the most commonly used method known as dissipated energy flow (DEF). Finally, this work explores grid following and grid forming control architecture of battery energy storage and the use of identification methods to observe low-frequency oscillation with Distributed Energy Resource (DER) connections.



Candidate Name: Steven Coty Smith
Title: ASPIRATIONS OF COMMUNITY COLLEGE ASSOCIATE OF APPLIED SCIENCE STUDENTS: A QUALITATIVE ANALYSIS WITH IMPLICATIONS FOR MEASURING OUTCOMES
 March 08, 2023  1:00 PM
Location: Zoom
Abstract:

This study used an in-depth qualitative multi-interview approach to explore the lived experience of associate in applied science (AAS) students at a community college in North Carolina. The purpose of this study was to explore the aspirations of community college students enrolled in career-focused AAS programs to understand their stated goals, the social forces that influence them, and how that data might serve as implications for measuring institutional outcomes using an approach informed by Seidman (2019). After completing a series of interviews with each participant, all data were transcribed and synthesized using a six-phase thematic analysis approach (Braun & Clarke, 2006, 2012). This research features four themes that emerged across their responses. The generated themes highlighted how social interactions, socioeconomic conditions, and labor market requirements affected students' aspirations. The findings provide insight into where students stated goals may or may not involve earning a credential and instances when their goals align or not with existing performance funding outcome metrics. Labor market requirements played a substantial role in whether students desired to earn a credential. Participants were highly motivated to use community college education to explore possible careers and establish social networks. Three conclusions were reached: (1) labor market demands highly influence AAS student aspirations; (2) aspirations fluctuated based on whether students saw AAS training as an apex or stepping-stone; (3) students possessed personalized layered goals that partially aligned with performance funding and outcome metrics.



Candidate Name: Titus Lamont Hopper
Title: Motivational Factors Affecting Black Male Principals in Rural North Carolina
 March 08, 2023  12:00 PM
Location: Via Zoom
Abstract:

ABSTRACT
TITUS L. HOPPER. Motivational Factors Affecting Black Male Principals in Rural North Carolina. (Under the direction of DR. REBECCA SHORE)

Many Black educators and principals led the nation’s schools in the early-to-mid-1900’s, when American public education was racially segregated. Black male principals leading predominantly Black schools was commonplace before the United States Supreme Court’s decision in Brown v. Board of Education that ruled that the practice of separate was no longer equal. The number of Black male principals serving in North Carolina schools today is disproportionately low. Research on rural schools is scant and there is even less research about Black male principals leading these schools. This study focused on the motivational factors affecting Black male principals working in rural North Carolina school districts. The purpose of this basic, interpretive qualitative case-study was to explore the lived experiences of these principals. As part of this exploration, the researcher examined factors that motivated Black male principals to work in rural North Carolina counties. All five participants in the study expressed that they embraced their profession and work as a major component of their identity; four were native to their rural communities. They believed they had a moral obligation to serve as a mirror, a window, and an advocate for rural North Carolina students and prove that Black male principals were educational leaders and more than disciplinarians. Job dissatisfaction factors included the low expectations and deficit perceptions of schools and students from rural counties in North Carolina, as well as the inequitable distribution and access to human capital and resources. The researcher’s hope is that insight gained from this investigation would positively impact recruiting, mentoring, coaching of Black male principals, and aid in their retention not only in rural districts, but potentially all districts.



Candidate Name: Yolanda L. Blakeney
Title: Black Male Teachers' Perspectives and Experiences in North Carolina Secondary Public Schools
 March 08, 2023  10:00 AM
Location: Zoom
Abstract:

The purpose of this qualitative study was to examine the perceptions surrounding equity and access for seven Black male teachers in a North Carolina secondary public school district. The research focused on two components of the secondary public school setting experienced by the seven participants: social context and instructional leadership. For purposes of this study, the researcher defined social context as workplace interactions between participants and their administrators and teacher colleagues. Instructional leadership roles were defined and excluded athletic director, coach, dean of students and administrator in this study. Seven of the seven participants possessed overall feelings of acceptance by administrators and colleagues. However, six of the seven participants believed that administrators expected them to manage primarily Black male student behaviors. Also, three of the seven participants neither felt heard nor felt that their cultural identity was valued in the workplace. Organizational barriers challenged Black male teachers’ preparedness for instructional leadership, and some experienced obstacles accessing instructional leadership opportunities and as instructional leaders. This study concluded with recommendations for future research as well as potential ways to address equity and access issues presented. One recommendation included restructuring of the assignment of Black male teachers as mentors to Black male students to include a criteria-based selection process from a more racially diverse teacher pool. Whereas six of the seven participants became teachers through the alternative licensure pathway, a recommendation was also presented to address the inconsistent beginning teacher support for teachers entering the profession through the alternative licensure pathway.



Candidate Name: Ricky D. Dunlap
Title: AN ANALYSIS OF THE IMPACT OF THE INNER EXPLORER MINDFULNESS PROGRAM ON THE ACADEMIC GROWTH OF ELEMENTARY STUDENTS
 March 06, 2023  1:00 PM
Location: Zoom
Abstract:

Students experience many stressors that impact their academic achievement and overall well-being. Therefore, schools must explore methods to help students address stressors and to focus on academic learning. In the age of school accountability for academic growth and stagnant or shrinking budgets, schools must explore options that are fiscally possible and have a limited impact on school schedule. Mindfulness is a practice that claims to help students focus in on the learning environment at school in cost-effective and manageable ways.
The purpose of this quantitative study was to analyze the impact of participation in Inner Explorer, an audio-guided, online, mindfulness-based intervention on the academic growth of students. Specifically, the researcher aimed to examine the impact of Inner Explorer on elementary school students in traditional classrooms and to also analyze the impact on students with disabilities. The study consisted of 378 students in second through fifth grades across two schools. A split-plot analysis of variance was used to gauge the impact of Inner Explorer on academic growth for all students and to focus on students with disabilities. Findings suggest that student participation in the Inner Explorer program did not have a significant impact on academic growth. In addition, students with disabilities did not gain academically because of participation in the Inner Explorer program. While previous research suggested a positive relationship between mindfulness and students’ well-being, results of this study did not demonstrate a large-scale impact on academic growth. However, there were aspects within the data that can be attributed to participation in the Inner Explorer program. Further analysis of the impact of mindfulness on academic performance would require a more in-depth research approach spanning a longer timespan than that used in this study. In addition, the concept would best be researched using a larger sample to explore the impact on sub-groups of student populations.



Candidate Name: Alex Suptela
Title: Role of the DNA sensors cGAS and ZBP1 in DNA damage and viral infections in glia
 February 24, 2023  10:00 AM
Location: CHHS 159
Abstract:

Resident CNS cells, such as astrocytes and microglia, are known to produce critical immune mediators following CNS infection due to the recognition of pathogen and damage-associated molecular patterns by specialized pattern recognition receptors (PRRs). Recently, multiple intracellular PRRs, including cyclic GMP-AMP synthase (cGAS), interferon gamma-inducible 16 (IFI16), absent in melanoma 2 (AIM2), and Z-DNA binding protein 1 (ZBP1), have been identified as cytosolic DNA sensors and play critical roles in glial immune responses to infectious agents. Intriguingly, some nucleic acid sensors have recently been shown to recognize endogenous DNA resulting from DNA damage and subsequently trigger immune responses in peripheral cell types, however, in the CNS, our understanding of these responses are limited. In this dissertation, we describe the functionality of the DNA sensors ZBP1, with regards to herpes simplex virus type-1 (HSV-1) infection in murine astrocytes and microglia, and cGAS with regards to DNA damage in human microglia.



Candidate Name: David E. Lynn
Title: The Development and Validation of an Intercultural Competencies Assessment Instrument for K-12 Educators
 February 21, 2023  12:00 PM
Location: COED 259, Ed Leadership Department Conference Room
Abstract:

As schools adapt curriculum and learning environments to better prepare students for entry into an increasingly globalized society, cultivating intercultural competencies in K-12 in-service educators is of heightened importance. The purpose of this study was to develop and validate a new instrument designed to assess these competencies called the Intercultural Competency Measure for Educators (ICME). Byram (1997) defines intercultural competencies as the ability to effectively communicate, understand, and work with people from diverse cultural backgrounds. Deardorff (2006) adds to this a call for action, which lends itself to the critical cosmopolitanism framework that guides this study. A pilot study was used to develop a four-factor theoretical intercultural competencies framework through a process defined in this study. Reliability and validity were examined using data collected from K-12 in-service educators at schools in the United States and Canada. An Exploratory Factor Analysis suggested a revision of the constructs to include five factors: Curriculum, Diverse Student Inclusion, Cross-Cultural Openness, Collaboration and Adaptation, and Systematic Awareness. Construct validity was tested using Confirmatory Factor Analysis and supported by examining demographic data using parametric tests. The emergence of a factor related to systematic awareness highlights teachers' increased role in addressing the root causes of inequity in schools. The five-factor model provides a framework for schools wishing to further develop and assess intercultural competencies growth in teachers.



Candidate Name: Nanci (Burt) Stafford
Title: A Qualitative Interview-based Study of the Lived Experiences of North Carolina Community College Students Who report Food Insecurity
 February 10, 2023  10:00 AM
Location: Online
Abstract:

This study represents North Carolina community college student experience with food insecurity. Two-year students have a wide variety of challenges as they make their way to finishing a credential. One such challenge, hunger, has always been a component; awareness and discourse have not. The purpose of the research is to understand the narratives of students experiencing hunger by using a qualitative, semi-structured, brief biographic narrative approach to understand the lived experiences of community college students facing hunger. Using a qualitative interview-based approach, 15 North Carolina community college students were interviewed to know how they manage hunger while working, studying, parenting, and succeeding in school. Several seminal theories such as Bronfenbrenner (1981a), Engle and Tinto, (2008); Tinto (1989); Tinto (2017), in combination with Chickering, 1969; Chickering and Reisser, (1993); Maslow (1943); and Erikson (1963) were used in this study to provide foundations for this research. The findings suggest that community colleges need to implement programs such as basic needs assessments, additional support services, and policies drawing upon student experience with hunger. What also emerged were stories of life-long extreme hardships for the participants. These students tell the tale of their struggles, sacrifices, and tenacity to better their lives through education.