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Dr. Timothy Van Voorhis

Associate Professor of Mathematics

(434) 582-2535



  • Ph.D. in Optimization, Georgia Tech
  • M.S. in Operations Research, Georgia Tech
  • B.S. in Industrial Engineering, Georgia Tech
  • B.A. in Natural Science, Covenant College



Dr. Tim Van Voorhis serves as an Associate Professor at Liberty University and is the Associate Chair of the Math Department. He began his career in Industrial Engineering and has specialized in this area with a focus on software development and consulting. He has since worked in sports scheduling and taught Operations Research and Industrial Engineering courses at Iowa State University. After many years of teaching Engineering, Tim transitioned into residential and online mathematics education. Today, Tim enjoys the challenge of helping students grasp difficult concepts, the daily interactions with students, and occasionally developing new courses.

Courses Taught

  • Statistics (both general and calculus-based)
  • History of Mathematics
  • Quantitative Reasoning
  • Pre-calculus
  • College Algebra
  • Operations Research

Edited Works

  • “College basketball scheduling with travel swings,” Computers and Industrial Engineering, 48: 163 – 172, 2005.
  • “Difference of convex solution of quadratically constrained optimization problems,” with Faiz A. Al-Khayyal. European Journal of Operational Research, 148: 349-362, 2003.
  • “A Global optimization algorithm using Lagrangian underestimates and the interval Newton method,” Journal of Global Optimization, 24: 349-370, 2002.
  • “Highly constrained sports scheduling,” Journal of the Operational Research Society, 53: 604-609, 2002.
  • “Developing software for generating pouring schedules for steel foundries,” with F. Peters and D. Johnson, Computers and Industrial Engineering, v. 39, 219-234, 2001.
  • “Robustness synthesis in l1: A globally optimal solution,” with Mustafa Khammash and Murti Salapaka, IEEE Transactions on Automatic Control, 46: 1754-1764, November 2001.

Research Interests

  • Sports schedule
  • Global optimization
  • Goundry scheduling
  • Interior point methods
  • Facility layout.
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