Justin Schroeder

Justin Schroeder is an Assistant Professor in the Department of Mathematics at Dakota State University, within the College of Arts & Sciences. He holds a Ph.D. in Mathematics from Vanderbilt University (2012) and a B.A. in Mathematics from Carthage College (2007).

• Ph.D. in Mathematics, Vanderbilt University, 2012
• B.A. in Mathematics, Carthage College, 2007

His research focuses on combinatorics and graph theory, with particular emphasis on prime labelings, graph embeddings, Steiner triple systems, and Latin squares. His work combines structural graph theory with number-theoretic and algebraic methods, often exploring labelings and symmetries in discrete structures.

The recent publications show a consistent trend in combinatorial design theory and topological graph theory, with several papers on prime labelings of graph families and self-dual embeddings in pseudosurfaces. His collaborations often involve finite field constructions and extremal problems in labeling. The arXiv preprint on rough numbers indicates an interest in analytic number theory as well.

Notable scientific awards include:

• Winner, 2019 Gen Cant Game Design Contest (Polyhedral Park Planner)
• Bjarni Jónsson Prize for Research, Vanderbilt University, 2012
• B.F. Bryant Award for Excellence in Teaching, Vanderbilt University, 2012
• AMS Graduate Student Travel Grant, 2012
• Graduate Student Summer Research Award, Vanderbilt University, 2011

Dr. Schroeder has advised research projects and co-authored papers with collaborators such as S.A. Schluchter and E. Rarity. He has presented his work internationally at the Macedonian Workshop on Graph Theory and Applications. While no formal grant funding is listed in the text, his research awards and travel grants during graduate studies reflect early recognition of scholarly excellence. He is actively engaged in both theoretical research and academic dissemination through publications and conference presentations.

There is no mention of a specific research lab or team, but his collaborative publications suggest participation in a network of combinatorics researchers focused on graph labeling and design theory.