Nathan Kahl

Nathan Kahl is a Professor in the Department of Mathematics and Computer Science at Seton Hall University, serving as the Mathematics Graduate School Adviser since 2005. He holds a Ph.D. in Mathematics from Stevens Institute of Technology and dual degrees (M.A.T. and B.S.) from Duke University. Before joining Seton Hall, he worked as a research analyst for an educational research firm.

His teaching spans foundational courses like Calculus and Statistics to advanced topics such as History of Mathematics and Analysis. He pioneered courses in Graph Algorithms and Text Mining, the latter integrated into Seton Hall’s M.S. in Data Science program.

Research focuses on graph theory, including Tutte polynomials, degree sequences, and network theory applications. He co-authored the latest survey on graph degree sequences and their network parameters. Recent work explores Tutte polynomial extremal properties and vulnerability parameters in networks.

No scientific awards are listed, but his contributions to discrete mathematics and pedagogy are highlighted through his extensive publication record and course development. He advises graduate students in mathematics and mentors in academic programs. His lab or team affiliations are not explicitly mentioned, though his research collaborations are evident through co-authored works.