Upcoming Events

Please join the NWHC Library for our Tech Tuesday session. Tuesday, November 11, 2025, at 2:00 pm CT (Zoom)  Presenter Denice Lewis, Research & Instruction Librarian -Engineering & Science, Z. Smith Reynolds Library, Wake Forest University. Use the link below to log on or scan the QR code on the flyer. https://pvpanther.zoom.us/j/97555625606?pwd=xYolTlR6UfdHLHLVeofWCMP6o4wn8y.1 Meeting ID: 975 5562 [...]

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 is to investigate the association between trauma symptoms, emotional dysregulation and socioeconomic deprivation of marginalized youth. This dissertation utilizes data from a prior thesis study involving 151 youth between [...]

COMMITTEE CHAIR: Dr. Lai Jiang TITLE: IMPLEMENTING A NURSE NAVIGATOR IN AN OUTPATIENT PROCEDURAL SETTING TO IMPROVE PATIENT SATISFACTION SCORES: A QUALITY IMPROVEMENT PROJECT ABSTRACT: The poultry industry generates millions of tons of chicken feathers annually, most of which are underutilized and discarded as waste materials. Chicken feather fiber (CFF), primarily composed of keratin, possesses [...]

Dear Graduate Students, The PVAMU Graduate School, College of Business, and Graduate Student Association are excited to invite you to an empowering Financial Literacy Workshop featuring Audria Ford! Build Confidence, Control, and Clarity with Your Finances Northwest Houston Center 9449 Grant Rd., Houston, TX 77070 Thursday, November 13 | 6:00 – 8:00 p.m. Take charge of [...]

COMMITTEE CHAIR: Dr. Cajetan Akujuobi TITLE: EDGE-NATIVE MULTI-AGENT SYSTEM FOR LATENCY-CRITICAL ANOMALY DETECTION AND QOS OPTIMIZATION IN 6G SMART MANUFACTURING ABSTRACT: The rapid evolution toward 6G networks introduces unprecedented opportunities for real-time, autonomous industrial systems but also poses new challenges for maintaining Quality of Service (QoS) under highly dynamic conditions. This dissertation proposal addresses the [...]

COMMITTEE CHAIR: Dr. Xishuang Dong TITLE: ENHANCING LEARNING PATH RECOMMENDATION VIA MULTI-TASK LEARNING ABSTRACT: Personalized learning is a student-centered educational approach that acknowledges and adapts to the unique characteristics of each learner by customizing content, pacing, and assessments to meet individual needs. Key components include learner profiles, cognitive styles, learning objectives, adjustable pacing, and enabling [...]

Nov. 18, 2025, 2:00 pm CT (Zoom)  Understanding Cybersecurity—Deepfakes. Presenter: Henry Rose,  Assistant Director of Infrastructure, Center for Information Technology, Prairie View A&M University Please use the link below or the QR Code on the flyer. Meeting ID: 975 5562 5606 https://pvpanther.zoom.us/j/97555625606?pwd=xYolTlR6UfdHLHLVeofWCMP6o4wn8y.1 Thank you, Elizabeth Jean Brumfield, PhD, CAS, MLIS

COMMITTEE CHAIR: Dr. Xishuang Dong TITLE: LARGE LANGUAGE MODELS FOR INFORMATION EXTRACTION ABSTRACT: Over the past few years, Large Language Models (LLMs) have emerged as powerful tools for natural language processing (NLP) tasks. These LLMs are based on transformer architectures and are pre-trained through self-supervised learning on massive text corpora to capture the intricate features [...]

November 20, 2025 @ 11 am Central Time Virtual Employer Forum: Diverse Careers in STEM With Dr. Tracey Thomas Zoom registration: https://howard.zoom.us/meeting/register/7fEQhJWOToClXrU4k25zqg

COMMITTEE CHAIR: Dr. Jayant Lohakare TITLE: UTILIZATION OF MUSHROOM STEMS AS A FEED RESOURCE FOR SUSTAINABLE POULTRY PRODUCTION ABSTRACT: Soybean meal (SBM) is the primary protein source in poultry diets, but its escalating cost and the environmental impact of soybean cultivation highlight the need for sustainable alternatives. Mushroom stems are generated at large volumes as [...]

COMMITTEE CHAIR: Dr. Lin Li TITLE: INTEGRATING SEMI-SUPERVISED LEARNING AND ENSEMBLE DEEP LEARNING FOR LOW-RESOURCE DEEP KNOWLEDGE TRACING ABSTRACT: As learning platforms scale, two obstacles keep Deep Knowledge Tracing (DKT) from thriving in practice: scarce labeled interactions and opaque predictions. We introduce a semi-supervised, ensemble DKT pipeline that trains diverse architectures, including Knowledge Proficiency Tracing [...]

COMMITTEE CHAIR: Dr. Lin Li TITLE: KNOWLEDGE ACQUISITION ON MASS-SHOOTING EVENTS VIA LLMS FOR AI-DRIVEN JUSTICE ABSTRACT: Mass-shooting event poses a significant challenge to public safety which generates large volumes of unstructured textual data that makes it difficult to conduct effective investigations and formulation of public policy. The proposed knowledge acquisition system utilizes Large Language [...]