^{JENNIFER A. BLUE, Ph.D.}

EXPERIENCE

Clinical Assistant Professor in the Department of Mathematical Sciences
Adjunct Professor in the Department of Computer Science
Adjunct Professor in the Department of Philosophy, Psychology, and Cognitive Science
Rensselaer Polytechnic Institute, Troy, NY

• Summer 1998 to present: Teach at RPIs Troy campus and RPIs Malta NY campus for graduates of the Navy Nuclear Power Training School.
• Courses in Malta: Calculus I, Calculus II, Differential Equations, Programming in C, Independent Study of Advanced Engineering Mathematics, Independent Study of Logic, Independent Study of Advanced Calculus, Independent Study of Multivariate Calculus & Matrix Algebra.
• Courses in Troy: Teaching Skills Seminar, Computational Optimization, Calculus 1, Calculus 2, Calculus 1 for Management, and Multivariate Calculus and Finite Mathematics for Management.
• January 2001 to August 2002: Research. Exploring new methods for characterizing the near optimal solutions to linear programming problems.

• Fall 2004 to present: Courses taught include Number Theory, Differential Calculus, Integral Calculus, Differential Vector Calculus, Integral Vector Calculus, and Calculus 1, Calculus 2, and Pre-Calculus for HEOP/AOP Summer Program.

• Calculus I: Spring 1993, Summer 1993, Summer 1994, Spring 1996
• Calculus II: Fall 1996
• Linear Algebra: Spring 1994, Spring 1995, Summer 1995

• Fellowship in Applied Mathematics by the Department of Education: Fall 1992, Spring 1993
• National Science Foundation Applied Mathematics Graduate Research Traineeship: Spring 1997, Fall 1997, Spring 1998

Research Assistant
Rensselaer Polytechnic Institute, Troy, NY

• Summer 1996
• Summer 1997

• Calculus I: Fall 1992
• Calculus II: Fall 1993
• Workshop Calculus I: Fall 1994
• Workshop Calculus II: Fall 1995

PUBLICATIONS

J.A. Blue, and K.P. Bennett, "Hybrid Extreme Point Tabu Search," European Journal of Operational Research,106(2-3):676-688, 1998.

K.P. Bennett and J.A. Blue, "A Support Vector Machine Approach to Decision Trees," In Proceedings of the IEEE International Joint Conference on Neural Networks, pages 2396-2401, Anchorage, Alaska, 1998.

A.P. Massey, D.L. Clapper, and J.A. Blue, "An interdisciplinary approach for exploring the impact of individual characteristics in the context of GSS research," Annals of Operations Research, 72:75-101, 1997.

PRESENTATIONS

"iClicker: The Fun is Infinite!" 15^th Annual Hudson River Undergraduate Mathematics Conference, St. Lawrence University, April 19, 2009, Canton NY.

"MAXIMIZE! Even with all those imposing constraints," 9^th Annual Hudson River Undergraduate Mathematics Conference, Hamilton College, April 27, 2002, Clinton NY.

"The Trouble with Flying," 8^th Annual Hudson River Undergraduate Mathematics Conference, Skidmore College, April 28, 2001, Saratoga Springs NY.

"What is a Neural Network?" 7^th Annual Hudson River Undergraduate Mathematics Conference, Vassar College, April 8, 2000, Poughkeepsie NY.

"An Introduction to Data Classification," 6^th Annual Hudson River Undergraduate Mathematics Conference, Siena College, April 17, 1999, Loudonville NY.

"An Extreme Point Tabu Search Method for GTO," DSES Colloquium, Rensselaer Polytechnic Institute, April 1, 1997.

"Neural Tree Networks via Tabu Search," Invited Talk, INFORMS 5^th CSTS Conference on Computer Science & Operations Research, January 8, 1996, Dallas TX.

"Optimal Decision Trees Through Multilinear Programming," Invited Talk, INFORMS, November 3, 1996, Atlanta GA.

"Comparing Cognitive Maps," Mathematics Department Seminar, Rensselaer Polytechnic Institute, April 20, 1994.

EDUCATION

Ph.D. Mathematics August 1998
Rensselaer Polytechnic Institute, Troy, NY

• Developed a hybrid algorithm in which a local descent algorithm and a tabu search are alternately applied. Developed a math programming formulation for decision trees which utilizes extreme point solutions. Extended Vapnik's support vector machines to develop a formulation for decision trees in which each decision is a support vector machine. The hybrid algorithm was applied to both decision tree formulations with strong results.

• Awarded Huston Prize for excellence in teaching.
• Graduated with 3.9 GPA.

• National Merit Scholar
• President's Endowed Scholar

REFERENCES

Available Upon Request

bluej@rpi.edu