Dr. Michael G. Monticino

Department of Mathematics and Associate Dean, College of Arts and Sciences
University of North Texas
P.O. Box 305189
Denton, TX 76203-5189
Phone: 940-565-2497
E-mail: monticino@unt.edu

Michael Monticino (Ph.D., University of Miami) began his career with Daniel H. Wagner Associates. At Wagner Associates, he worked on problems in anti-submarine warfare, acoustic modeling and optimal ship routing using mathematical techniques from stochastic processes, game theory, search theory, and probability. He has been at the University of North Texas since 1991. He is a professor in the mathematics department and Associate Dean of the College of Arts and Sciences. He has published research articles in stochastic optimal control, theoretical gambling theory, optimal stopping problems related to financial processes, as well as recent work in environmental modeling and biological complexity. Dr. Monticino has worked as a consultant for several organizations, including IBM, the Institute for Defense Analyses, Electronic Arts, Fox TV, ABC News, Yahoo, and Argo Data Resources. He regularly organizes seminars and gives talks to students, from high school to graduate school, on research and employment opportunities for mathematicians in industry and government.


Search Theory

Search Theory is a mathematical framework for finding lost or hidden objects. This talk presents a history of search theory, beginning with the work of the Navy's Anti-Submarine Warfare Operations Research group during World War II; develops the mathematical structure of a search problem; and discusses applications including the search for the space shuttle Challenger's wreckage and Dr. Monticino's work in applying search theory to detecting North Korean invasion tunnels under the Korean demilitarized zone. The talk can be presented from a high school level to a research colloquium level.

Applying Mathematics: A Personal Perspective

This talk discusses the application of mathematics to help solve real world problems. The mathematical as well as the interpersonal challenges of applying mathematics are explored. Several case studies are presented, including Internet data analysis for IBM and PAramark Inc., cash need forecasting and risk analysis for a leading check cashing company and resource allocation for the U.S. Navy.

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