Jonathan R. Senning

Jonathan R. Senning is a Professor of Mathematics and Computer Science at Gordon College, working within the Department of Mathematics and Computer Science in the School of Science, Technology and Health. He has maintained a dual focus on mathematical theory and practical computer applications throughout his academic career.

Dr. Senning earned his educational credentials from prestigious institutions:

• Ph.D. in Applied Mathematics, University of Virginia, 1992
• M.A.M. in Applied Mathematics, University of Virginia, 1989
• B.S. in Physics and Mathematics, Gordon College, 1985

His research spans multiple interconnected domains with a strong emphasis on computational approaches. Senning has developed significant expertise in high-performance computing applications for solving complex mathematical problems, particularly in queueing network theory. His work bridges theoretical mathematics with practical computing solutions, creating tools that enable more efficient problem-solving in computational mathematics. He has maintained active membership in the Association of Christians in the Mathematical Sciences since 1993 and the Mathematical Association of America.

Dr. Senning's scholarly output reveals a consistent trajectory from foundational mathematical research toward increasingly sophisticated computational implementations. His publications demonstrate expertise spanning theoretical queueing network analysis, high-performance computing implementations, and educational technology applications. The evolution of his work shows a progression from pure mathematical research to practical software development that makes complex mathematical concepts accessible.

His professional activity includes significant software development projects that translate theoretical concepts into practical tools:

• QNetDP - for computing optimal policies in queueing networks
• QNet Approximator - NSF-funded project for computing cost bounds
• Numerical Solution of First Order Differential Equations - web-based educational tool
• LAVA (Linear Algebra Visualization Assistant) - interactive linear algebra learning platform

As an educator, Senning has taught a comprehensive range of courses from introductory programming and calculus to advanced topics in machine learning and high-performance computing, demonstrating his ability to connect foundational mathematical concepts with cutting-edge computational applications.