Combinatorics, Graph Theory and Computing: Seiccgtc 2023, Boca Raton, USA, March 610

This proceedings volume compiles selected, revised papers presented at the 54th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2023), which took place at Florida Atlantic University in Boca Raton, USA, from March 6th to 10th, 2023.

The SEICCGTC is widely regarded as a trendsetter for other conferences worldwide. Many ideas and themes initially discussed here have subsequently been explored in other conferences and symposia.

Since 1970, the conference has been held annually in Baton Rouge, Louisiana, and Boca Raton, Florida. Over the years, it has grown to become the primary annual conference in its fields, playing a crucial role in disseminating results and fostering collaborative work.

This volume is tailored for the community of pure and applied mathematicians in academia, industry, and government, who work in combinatorics and graph theory, as well as related areas of computer science and the intersections among these fields.

Frederick Hoffman is a Professor at the Florida Atlantic University, USA. He holds a PhD in Mathematics from the University of Virginia (1964). His research interests lie in finite groups, combinatorics and applications, and artificial intelligence.

Sarah Heuss is an Instructor/Adjunct Professor at the University of South Carolina Union, USA. She holds a PhD in Mathematics from Auburn University (2003). Dr. Heuss has also served as a Secretary of the Institute of Combinatorics and its Applications (ICA).

Richard M. Low is a Lecturer at the San José State University, USA. He holds a PhD in Mathematics from Western Michigan University (1998). His research interests include combinatorics, group theory, and cryptology.

John C. Wierman is an Emeritus Professor of Applied Mathematics and Statistics, having served at John Hopkins University, Whiting School of Engineering, USA. He received his PhD in Mathematics from the University of Washington (1976). Dr. Wierman's research focuses on probability, stochastic processes, statistics, discrete mathematics, percolation theory, and random graphs.