Nathan Kahl, Ph.D.

Associate Professor, Mathematics Graduate School Adviser
Department of Mathematics and Computer Science

I have been a member of Seton Hall University's Department of Mathematics and Computer Science since 2005. Before that I received my Ph.D. and M.S. in Mathematics from Stevens Institute of Technology, and my M.A.T. (Masters of Arts in Teaching) and B.S. degrees from Duke University. In between attending those two institutions, I also spent a few years as a research analyst for an educational research firm.

Since joining the department I have had the pleasure of teaching just about every course offered, from the introductory Calculus and Statistics classes to the upper level History of Mathematics, our Analysis sequence, and our Junior seminar. I have also developed new courses, in Graph Algorithms and in Text Mining. I teach the latter course as part of our new M.S. in Data Science program.

My primary research area is graph theory, sometimes called network theory in applications, and I am one of the authors of a recent survey paper on the degree sequences of graphs and their relationship to various graph and network parameters. I have also written on the Tutte polynomials of graphs, network reliability, barrier sets in graphs, and matching theory.