معرفی
Thomas Tiahrt is an Associate Professor in the Department of Decision Sciences at the Beacom School of Business, The University of South Dakota. A Vermillion native, he earned all degrees from USD following a 20+ year software development career where he secured five patents cited by Google, IBM, and academic institutions. His industry experience directly shapes his applied academic work in analytics and statistics.
Dr. Tiahrt's educational credentials include:
- Ph.D. in Computational Science and Statistics (2011)
- M.A. in Computer Science (1991)
- B.B.A. in Accounting (1982)
His research centers on applied analytics with dual emphases: extracting meaning from text for healthcare applications (e.g., patient no-show prediction) and scholarship of learning innovations. This manifests in interdisciplinary work bridging business, healthcare, and computer science, particularly through statistical learning frameworks and curriculum transformation projects.
Recent publications (2019-2025) reveal strong healthcare analytics trends, including patient risk modeling and clinical pain assessment, alongside educational contributions in flipped classroom methodologies. His work consistently applies data-driven approaches to solve operational challenges in medical and academic settings.
Key recognitions include:
- Best Reviewer Award, International Journal of Information and Operations Management Education (2023)
- Professor of Business Analytics designation from POET (2017)
Dr. Tiahrt maintains active research through industry collaborations like his Meta Corporation project (2020-2021) on statistical learning techniques. His advising approach emphasizes practical skill development, reflected in student co-authorship on publications and presentations at conferences including the Mountain Plains Business Conference and Decision Sciences Institute meetings. His teaching portfolio spans Statistics, Calculus, and Analytics courses with focus on real-world application.
