Main Events
Events
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Jasmine Major Dissertation Defense, Tuesday, July 14, 2026 @ 10:00 am Central Time
COMMITTEE CHAIR: Dr. Stacie Defreitas TITLE: DEVELOPING AND ASSESSING AN ADLERIAN PLAY THERAPY K-5TH MENTAL HEALTH CURRICULUM USING QUALITATIVE METHODS ABSTRACT: In the United States, 33% of students exhibit internalizing or externalizing behaviors in academic settings. These behaviors can impact student engagement and performance by disrupting affected students’ and their classmates’ ability to tend [...]
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Terrance Bolton Dissertation Proposal Defense, Tuesday, July 14, 2026 @ 2:00 pm Central Time
COMMITTEE CHAIR: Dr. Fred Bonner TITLE: GRAVITY DEFIED: BLACK MALES ESTABLISHING A SENSE OF AGENCY AND BELONGING IN THE EBONY TOWERS OF THE STATE OF TEXAS ABSTRACT: The persistent underrepresentation of Black males in higher education, including within Historically Black Colleges and Universities (HBCUs), remains a critical concern for scholars and policymakers. (Strayhorn, 2017; [...]
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Graduate School Professional Development with Dr. Brumfield
Zoom Meeting https://pvpanther.zoom.us/j/99195963635?pwd=73MkWfTX8guvt3OJZwnBVI7YXtOjp5.1 https://pvpanther.zoom.us/launch/edl?muid=56cba8a3-5fc3-4096-9cff-c79649249322 Meeting ID: 991 9596 3635 Passcode: 532474
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Stephanie Williams Doctoral Project Defense, Wednesday, July 15, 2026 @ 10:00 am Central Time
COMMITTEE CHAIR: Dr. Chloe Gaines TITLE: THE EFFECTS OF EDUCATION AND TRAINING ON CLINICAL STAFF'S KNOWLEDGE AND PERCEPTION OF THE MEDICATION RECONCILIATION PROCESS: A QUALITY IMPROVEMENT PROJECT ABSTRACT: Medication-related harm affects approximately 1 in 30 patients in healthcare settings. Accurate medication reconciliation (MedRec) is essential for identifying medication discrepancies, preventing medication errors, and reducing adverse [...]
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Joulvous Drake Doctoral Project Defense, Thursday, July 16, 2026 @ 11:00 am Central Time
COMMITTEE CHAIR: Dr. Chloe Gaines TITLE: UTILIZATION OF AN ON-SITE PRIMARY CARE CLINIC - AN EVALUATION ABSTRACT: Employers are increasingly incorporating on-site primary care clinics into their workplace health strategies to improve access to timely care, reduce absenteeism, support chronic disease management, and lower healthcare-related costs. Yet, despite the demonstrated organizational and health benefits, many [...]
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LLMs, Text2SQL, Knowledge Distillation, Information Extraction
COMMITTEE CHAIR: Dr. Xishuang Dong TITLE: LARGE LANGUAGE MODELS FOR INFORMATION EXTRACTION ABSTRACT: Large Language Models (LLMs) have emerged with remarkable capabilities in understanding, generating, and contextualizing natural language. These capabilities have significantly advanced information extraction (IE), enabling the extraction of meaningful information from both unstructured and structured data. This dissertation investigates two important IE [...]
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Teneeshia Renae Johnson Dissertation Defense, Tuesday, July 14, 2026 @ 12:00 pm Central Time
COMMITTEE CHAIR: Dr. Temilola Salami TITLE: A GEOSPATIAL ANALYSIS OF MENTAL HEALTH ACCESS AMONG TRAUMA-EXPOSED DISCIPLINARY ALTERNATIVE EDUCATION PROGRAM YOUTH ABSTRACT: The purpose of this study was to examine the spatial distribution of trauma symptoms and emotional dysregulation among youth involved in disciplinary alternative education programs (DAEP). Additionally, the study explored whether these outcomes were [...]
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Reginald Chatman Dissertation Proposal Defense, Saturday, July 18, 2026 @ 11:00 am Central Time
COMMITTEE CHAIR: Dr. Mohammed Hussein TITLE: UNDERSTANDING SUCCESSFUL EXITS AMONG BLACK TECH FOUNDERS: A QUALITATIVE STUDY OF STRATEGIC, PSYCHOLOGICAL, AND EXPERIENTIAL FACTORS ABSTRACT: The central problem this study addresses is how to characterize what it takes for Black tech founders to exit. Thus, the purpose is to examine the factors that maximize the probability of [...]
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Nouf Nur Nabilah Master’s Thesis Defense, Monday, July 27, 2026 @ 1:00 pm Central Time
COMMITTEE CHAIR: Dr. Annamalai Annamalai TITLE: DEEP LEARNING-BASED SIDE-CHANNEL EVALUATION ACROSS CLASSICAL AND POST-QUANTUM CRYPTOGRAPHIC IMPLEMENTATIONS ABSTRACT: A cryptographic algorithm that is mathematically secure can still be broken since its hardware implementation leaks secret information through power consumption or electromagnetic emission. These vulnerabilities are applicable to widely deployed classical encryption schemes as well as emerging [...]
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