Dr. Peter Sehwan Yoo is a scientist and interdisciplinary researcher with more than 20 years of international teaching experience in the United States and South Korea. He holds a B.S.
in Engineering Physics from the University of Arizona and a Ph.D. in Physics from the University of Kansas, with additional post-graduate training in Computer Sciences at the University of Delaware. His academic background spans physics, mathematics, and computer science, reflecting a career dedicated to cross-disciplinary education and research.
Dr. Yoo applies neural network models and time-series analysis to complex real- world systems, including financial forecasting and wireless network behavior prediction, demonstrating how machine-learning techniques can bridge traditional scientific domains.
His work investigates both the fundamental physics and experimental characterization of superconductive materials, contributing to a deeper understanding of their physical properties and potential applications.