معرفی
Dr. Christopher Calhoun is a researcher focused on undergraduate education and the mechanical deformation of metallic materials. He integrates data science tools to analyze student performance and employs advanced techniques like neutron diffraction and crystal plasticity modeling to study deformation mechanisms in metals such as α-uranium and magnesium alloys.
He holds a PhD in Materials Science and Engineering from the University of Virginia, an MS in Aerospace Engineering from Texas A&M University, a BS in Engineering Science and Mechanics from Virginia Tech, and an MS in Business Analytics from the University of Cincinnati (2021).
His research spans materials science, mechanical engineering, and data-driven education analysis. Recent publications emphasize neutron diffraction for deformation studies, crystal plasticity modeling, and fatigue life prediction in shape memory alloys. Key themes include thermal residual stresses, phase transformations, and metacognitive skills in AI-driven learning.
Dr. Calhoun serves as a Principal Investigator on NSF Grant #2407294 (2024–2026), exploring metacognitive skills in generative AI for education, and collaborates on DOE-funded projects like Short Courses in Software Tools for Alloy Optimization (2023–2024).
