Manuel Sanders, PhD

Manuel Sanders, PhD

Professor of Mathematics

Hargray Room 220
One University Boulevard
Bluffton, SC 29909
Office: 843-208-8106
Manuel Sanders, PhD

My name is Dr. Manuel Sanders. I am a Professor of Mathematics at USCB and have been teaching here since 2005.  

I earned a BA in Mathematics at University of North Carolina, Greensboro, NC in 1991. I went on to earn my MA in Mathematics concentrating in Dynamical Systems at UNC, Greensboro, NS in 1993. I later received a Ph.D. from the University of Tennessee in 1999 for my work in geometric topology.  

Much of my career has been involved with work in topology, analysis, and dynamical systems. My work has been published in national and international journals and I have given talks in various venues around the world. I am currently motivated by applications of mathematics to computer vision (CV) and artificial intelligence (AI) as well as other real-world applications of mathematics to technology-infused designs. 

I arrived at USCB in the fall of 2005 after holding positions at several public and private colleges in the US. I served as the founding Chair of the Department of Mathematics at USCB from 2011 to 2019. During the 2017-18 academic year, I served as a Fulbright Scholar of Mathematics at Tampere University of Technology in Finland where my perspective was broadened and enhanced by experiencing university-level instruction in a technology-oriented setting.  

I am active in program building and faculty governance at USCB and I enjoy fostering both student and faculty success at USCB and beyond.  

  • Education
  • Teaching
  • Research

Ph.D. in Mathematics at University of Tennesse, Knoxville, TN 1999 

M.A., Mathematics in Dynamical Systems at University of North Carolina, Greensboro, NC 1993 

B.A., Mathematics, University of North Carolina, Greensboro, NC 1991 

  • MATH B115 - Precalculus Mathematics
  • MATH B141 - Calculus I
  • Applications of mathematics to computer vision and artificial intelligence
  • Compact Contractible Manifolds
  • Real-world applications of mathematics to technology-infused designs
  • Polyhedral and Arc Attractors