Richard Redner

Richard Redner is a Professor of Mathematical Sciences at the University of Tulsa, affiliated with the College of Engineering & Computer Science's Department of Mathematics. He has held multiple leadership roles, including Associate Chair of Mathematics, Graduate Program Advisor, Associate Dean of Research and Graduate Studies, Senior Vice Provost for Academic and Faculty Affairs, and Vice Provost for Faculty Affairs. Since returning to full-time teaching and research in 2020, he focuses on applied mathematics, optimization, and interdisciplinary problem-solving.

• Ph.D., Mathematics, University of Houston (1977)
• M.S., Mathematics, University of Houston (1976)
• B.S., Mathematics and Physics, Guilford College (1974)

His research spans optimization theory, statistical learning, and applications of mathematics to geosciences, petroleum engineering, chemistry, and computer graphics. He served as a Pan American judo referee and holds a fourth-degree blackbelt (yondan). Redner is a peer reviewer for the Higher Learning Commission (HLC), recognized in 2023 with the Virtual Master award for contributions to virtual review processes.

As a dedicated educator and researcher, Redner bridges theoretical concepts with practical solutions, contributing to TU’s strengths in engineering, computer science, and applied mathematics. His work emphasizes algorithm development for real-world challenges in diverse fields.