Events for April 17, 2026

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. Matthew Minus TITLE: THE TWO TALES OF ONE STUDENT: BORON-SILICON-FLUORINE EXCHANGE, AND THE QUEST FOR RECYCLABLE VITIRIMERS ABSTRACT: Vitrimers are a class of dynamic covalent polymer networks that combine the mechanical robustness of thermosets with the reprocessability, and self-healing capabilities enabled by associative bond exchange. Here, we report a new vitrimer system [...]

COMMITTEE CHAIR: Dr. Md. Jobair Bin Alam TITLE: HYDROLOGIC PERFORMANCE EVALUATION OF GEOGRID-GEOTEXTILES INTEGRATED EXPANSIVE CLAYEY SLOPES ABSTRACT: Expansive clay embankment slopes are highly vulnerable to climate-driven wetting-drying cycles, which reduce matric suction and shear strength, leading to surficial failures. While conventional stabilization often focuses on mechanical reinforcement, a significant research gap exists regarding the [...]

COMMITTEE CHAIR: Dr. Xishuang Dong TITLE: LLMS-BASED TEXT-TO-SQL FOR GEOSPATIAL INFORMATION RETRIEVAL ABSTRACT: Text-to-SQL aims to translate natural language questions into SQL queries that can be executed on databases, enabling non-expert users to retrieve information without learning formal query languages. Early Text-to-SQL systems relied on rule-based methods and semantic parsers, while recent advances in deep [...]

COMMITTEE CHAIR: Dr. Fred Bonner TITLE: "AM I MY BROTHER’S KEEPER?” A QUALITATIVE STUDY OF THE BLACK MALE COMMUNITY, RESILIENCE, AND SENSE OF BELONGING IN THE HISPANIC-SERVING INSTITUTION (HSI) CONTEXT ABSTRACT: This qualitative study explores the experiences of Black male students at a Hispanic-Serving Institution (HSI), with a focus on sense of belonging, resilience, and [...]

COMMITTEE CHAIR: Dr. Xishuang Dong TITLE: MULTI-TASK GROWING INTERPRETABLE NEURAL NETWORK FOR MULTI-TARGET SYMBOLIC REGRESSION ABSTRACT: Over the past decade, deep learning has achieved remarkable success across a wide range of domains, including computer vision and natural language processing. Despite their strong performance, these models often operate as black boxes, making it difficult to understand [...]