Richard Redner, Ph.D. - The University of Tulsa
Close Menu
Close Menu

Richard Redner, Ph.D.

Professor of Mathematical Sciences

Graduate Program Advisor

About

Richard Redner has been a member of the faculty since 1980. During the past four decades he served as the associate chair of the Mathematics Department, graduate program advisor, associate dean of research and graduate studies, senior vice provost for academic and faculty affairs, and vice provost for faculty affairs. Redner is a professor in mathematics and in the summer of 2020 he returned to full time teaching and research in the Department of Mathematics.

Professor Redner is an applied mathematician who enjoys taking theoretical concepts and using them to solve problems. This includes developing and applying theory to applied problems and, as needed, developing and applying algorithms that provide answers to specific problems. Over the years he worked on problems in statistical learning, remote sensing, geosciences, petroleum engineering, chemistry, and computer graphics.

Previously, Redner was a judo player (i.e. competed in tournaments). He retired from judo as a fourth degree blackbelt ( yondan ( 四段)). At retirement he was a Pan American judo referee, having passed his international judo referee exam in Mexico City.

As service to the community Redner serves as a peer reviewer for the Higher Learning Commission (HLC). In 2023 Redner was awarded the Virtual Master award. Virtual Masters are peer reviewers who often serve on virtual reviews including panels, Assurance Reviews, Systems Appraisals, and IAC – demonstrating a proficiency with HLC’s numerous online technologies.

Education

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

Research interests and areas of expertise

  • Optimization theory
  • Statistics – including statistical learning and a broad range of applications of mathematics to problems in science, engineering, and computer science