معرفی
Chad Vidden is a Professor of Mathematics at the University of Wisconsin - La Crosse, specializing in the intersection of mathematics with AI, big data, and applied computational methods. He holds a Ph.D. in Applied Mathematics from Iowa State University (2013) and a B.S. in Mathematics from Minnesota State University - Mankato (2007). His research focuses on machine learning applications, numerical analysis, and data-driven solutions for diverse fields like sports analytics, marketing, and computational mathematics. He has mentored numerous undergraduate research projects, including exoplanet detection via Fast Fourier Transform and sports ranking using linear algebra. Vidden has co-authored textbooks such as From Data to Decision (2018, 2023) and contributed to over a dozen peer-reviewed articles. His work bridges theoretical mathematics with practical industry collaborations, emphasizing undergraduate research and partnerships with local businesses.
Education:
- Ph.D. Applied Mathematics, Iowa State University, 2013
- B.S. Mathematics, Minnesota State University - Mankato, 2007
Research Interests: Machine learning, numerical methods, computational mathematics, and interdisciplinary applications of data science. His current focus includes AI-driven sports performance analysis, market segmentation modeling, and optimization algorithms for real-world problems.
Publications Overview: Recent work spans sports analytics (e.g., soccer match demands), marketing strategy (e.g., brand crisis impact analysis), and numerical methods (e.g., discontinuous Galerkin techniques). These studies highlight his dual expertise in applied math and data science.
Advising & Grants: Supervised over a dozen undergraduate research projects, including award-winning studies on sports statistics and optimization. Collaborates with local industries to integrate academic research with practical solutions.
Labs/Teams: Actively involved in the UWL Mathematics & Statistics department's research initiatives, though no dedicated lab is explicitly named.
