Van Vung Pham

Van Vung Pham is an assistant professor at Computer Science Department, Sam Houston State University, Texas, US. He is a passionate research scientist in machine learning, deep learning, data science, and data visualization. He has years of experience and numerous publications in these areas. His areas of expertise centered around data visualizations, data analytics, machine learning, and deep learning. He has published one patent, various peer-reviewed journals, and conference papers in these areas. He is currently working on projects to analyze climate change and health information. For instance, some projects use data visualizations/analytics to analyze soil profile data. Some projects use machine learning/deep learning to predict soil properties (e.g., pHs or carbon storage) from visible and near-infrared (Vis-NIR) spectra acquired from soil profiles. He is also working on projects that use deep neural networks (e.g., YOLO, R-CNN) to solve computer vision tasks (e.g., road damage detection or brain tumor detection). He is also the author of the book "Hands-On Computer Vision with Detectron2" by Packt publishing.