Dr. Leon H. Seitelman

110 Cambridge Drive
Glastonbury, CT 06033
(formerly with the Department of Mathematics, University of Connecticut, Storrs, CT and United Technologies, East Hartford, CT)
Phone: 860-633-0140
E-mail: lseitelman@aol.com

Lee Seitelman worked at Pratt & Whitney for 30 years after receiving his Ph.D. in Applied Mathematics from Brown University in 1967. He provided support for problem solving and applied research in a broad spectrum of engineering and manufacturing applications, particularly in computer-aided design and manufacturing (CAD/CAM), working in cooperation with engineers on a variety of projects in jet engine design and development. His background, including degrees in engineering and pure mathematics, was a valuable resource for meeting the challenge of the interdisciplinary technical problems that characterize industrial work. His professional interests include K-12 mathematics education renewal efforts at state and national levels, and he organized the SIAM Visiting Lecturer Program, chairing it from 1993 - 2000.

What's a Mathematician Like You Doing in a Place Like That?
(An introduction to industrial problem solving)

Industrial problem solving rarely—if ever—consists simply of the study of clearly defined, well-posed, straightforward mathematical problems. A large part of the applied mathematician's work in industry is devoted to setting up, defining, redefining, and developing numerical solutions for problems that arise from a physical description of nature or an engineering process. We illustrate the nature of these assignments by using examples from jet engine design and analysis; occupational experience is similar in other industries.

The technical problems to be solved are not perceived to be mathematical by their originators. Because those people may have limited experience and/or training in mathematics, it is important that the industrial mathematician be comfortable working in an environment in which the iteration focuses on the engineering and scientific bases for problems, rather than on the mathematics required to solve them. Careful course selection and interpersonal skills development are essential if a prospective industrial mathematician wishes to maximize the likelihood that he/she will contribute effectively in such a team problem solving environment.

Natural Cubic Splines are Unnatural
(An introduction to CAD/CAM curve and surface fitting)

Suggestions from the Real World About Improving Math Education

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