Guess what, Panthers! 🐾 The deadline for the PVAMU 2026–2027 General Scholarship Application has been EXTENDED to May 15th! 🎉 There’s still time to secure funding for your future. Don’t miss this opportunity. 🔗Apply today: https://pvamu.academicworks.com/ Best regards,   Default Prevention - Financial Aid  

COMMITTEE CHAIR: Dr. Suxia Cui CO-COMMITTEE CHAIR: Dr. Lujun Zhai TITLE: EFFECTIVE DATA AUGMENTATION STRATEGIES FOR SMALL OBJECT DETECTION ABSTRACT: Data augmentation remains the most effective method of improving object detection, particularly in scenes where small objects dominate and the annotated datasets are small. While geometric augmentation techniques such as flipping, cropping, and photometric augmentations [...]

Please join us next Tuesday, April 21st, at 6:30 pm, for our virtual informational series. Dr. Hebert Thomas, Assistant Director, from the Careers & Professional Development Department, will inform us of the career services available for students at PVAMU. To join the Zoom, please click on "Join Zoom Meeting" on the flyer day of the [...]

COMMITTEE CHAIR: Dr. Yonghui Wang TITLE: STRUCTURED REPRESENTATION LEARNING FOR GENERALIZABLE DEEPFAKE VIDEO DETECTION ABSTRACT Deepfake video detection has become an important problem in multimedia forensics as modern generative models produce increasingly realistic facial manipulations. Although many existing detectors achieve strong performance on the datasets on which they are trained, their performance often degrades substantially [...]

COMMITTEE CHAIR: Dr. Patricia Miller TITLE: WHITE PRINCIPALS AS ANTI-RACIST ALLIES IN AFRICAN AMERICAN SCHOOLS ABSTRACT: Racism and education in American schools are more complex and misunderstood now more than ever. Even as Black and Brown populations expand, their educational conditions are rapidly deteriorating due to societal racial injustices. A large majority of African American [...]

COMMITTEE CHAIR: Dr. Suxia Cui TITLE: CNN-BASED IMAGE ENHANCEMENT USING SPARSITY-AWARE OPTIMIZATION ABSTRACT: The deployment of convolutional neural network (CNN)-based image enhancement in edge computing environments is constrained by limited hardware resources and strict power budgets. Although CNN architectures provide superior visual restoration performance compared to traditional filtering techniques, convolution operations exhibit high multiply–accumulate (MAC) [...]

COMMITTEE CHAIR: Dr. Pamela Freeman TITLE: FEAR OF FACING OUR WORST SELF: A NARRATIVE INQUIRY ON TEACHERS’ IDENTITIES, IDEOLOGIES, AND RESPONSE TO INCREASED DIVERSITY IN A MAJOR ABSTRACT: Purpose: Suburban school districts have experienced apparent demographic changes over the past 10 years. However, there is limited research exploring how suburban teachers are responding to such [...]

COMMITTEE CHAIR: Dr. Pamela Freeman TITLE: HOW FAR HAVE WE COME? ANALYZING THE SOCIAL JUSTICE ORIENTATION OF HBCU DOCTORAL CANDIDATES & GRADUATES POST-TRUMP AND GEORGE FLOYD ABSTRACT: The George Floyd murder and the ongoing saga of Trump presidencies have cemented social and ideological divisions within American culture, creating reverberations throughout the realms of academic discourse [...]

Good afternoon  Please join us on Thursday, April 23, 2026, from 6:00 pm-8:00 pm for another great art exhibit here at the Northwest. The Northwest Houston Center Library would like to invite you to the Nature's Intelligence, A Photography Exhibit opening night reception. Click the link on the flyer or click the link below to [...]

COMMITTEE CHAIR: Dr. Lijun Qian TITLE: UNIFIED DEEP LEARNING TECHNIQUES FOR SPATIAL DETECTION AND TEMPORAL FORECASTING ACROSS VISUAL DOMAINS ABSTRACT: This dissertation proposes a unified deep learning framework for spatial detection and temporal forecasting across visual domains, designed to address limited supervision, class imbalance, and scale variability. The framework is structured around four complementary principles: [...]

COMMITTEE CHAIR: Dr. Ahmed Ahmed CO-COMMITTEE CHAIR: Dr. Md. Jobair Bin Alam TITLE: MULTI-TASK GROWING INTERPRETABLE NEURAL NETWORK FOR MULTI-TARGET SYMBOLIC REGRESSION ABSTRACT: This research presents a comprehensive, three-phase hierarchical data collection framework integrating Internet of Things (IoT) sensors, aerial RGB imagery, and Electrical Resistivity Imaging (ERI) to correlate multi-scale hydro-geophysical soil parameters for comprehensive [...]

COMMITTEE CHAIR: Dr. Kazeem Olanrewaju TITLE: DEVELOPMENT OF A COMPARTMENTAL METABOLISM RATE MODEL FOR DIGESTIVE OLIGOSACCHARIDES TRANSFORMATION TO GLUCOSE IN THE HUMAN PROXIMAL SMALL INTESTINE (PSI) ABSTRACT: Excess postprandial glucose remains a significant metabolic concern, particularly for individuals with impaired glucose regulation. In the proximal small intestine (PSI), dietary oligosaccharides are enzymatically hydrolyzed to glucose, [...]

COMMITTEE CHAIR: Dr. Lijun Qian TITLE: A GAME THEORETICAL ANALYSIS OF MULTI TIERED SEMANTIC COMMUNICATIONS ABSTRACT: Semantic communication shifts the 6G paradigm from transmitting bits to delivering meaning. However, the economic feasibility of deploying such compute-intensive systems remains a critical open challenge. This thesis presents a game-theoretic framework for pricing and service differentiation in a [...]

COMMITTEE CHAIR: Dr. Daniel Doe TITLE: OPTIMIZING ETHEREUM BLOCK PROPAGATION: A STACKELBERG GAME-THEORETIC APPROACH IN MIXED REALITY ENVIRONMENTS ABSTRACT: Scalability is a persistent bottleneck in Ethereum-based blockchain networks, particularly for mixed reality applications like augmented and virtual reality that require low latency and consistent real-time performance. Peer-to-peer gossip protocols, the standard mechanism for block propagation, [...]