Upcoming Events

Meeting ID: 994 9343 9206 Passcode: 612071 https://pvpanther.zoom.us/j/99603029424?pwd=ZpTwQYre70J3NMm6spLj76IDayajbg.1

Meeting ID: 994 5927 2643 Passcode: 769807 https://pvpanther.zoom.us/j/99459272643?pwd=4BWV8fhj8ALzKEB6aBHsbtchapMGFl.1

COMMITTEE CHAIR: Dr. Xishuang Dong TITLE: INTERPRETABLE AI FOR DEEP KNOWLEDGE TRACING TO IMPLEMENT PERSONALIZED LEARNING AT HBCUS ABSTRACT: Deep Knowledge Tracing (DKT) has emerged as an AI-based transformative technology in educational data science, enabling the modeling and forecasting of students’ learning path through their interactions with academic tasks. While DKT has shown impressive predictive [...]

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. 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: 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 [...]