Statistics Seminar - 11/12/26

Abstract:

TBA

About the Speaker:

Dr. Elvan Ceyhan is the Marguerite Scharnagle Endowed Professor in the Department of Mathematics and Statistics at Auburn University. He received his BS in Mathematics from Koç University, an MS in Statistics from Oklahoma State University, and both an MSE and PhD in Applied Mathematics and Statistics from Johns Hopkins University, followed by a postdoctoral fellowship at JHU’s Center for Imaging Science. Before joining Auburn in 2019, he held faculty positions at Koç University and the University of Pittsburgh and served as Deputy Director of the Statistical and Applied Mathematical Sciences Institute (SAMSI) while a research associate professor at North Carolina State University. He was promoted to full professor at Auburn in 2024. Dr. Ceyhan’s research spans statistical machine learning, graph- and network-based methods, random geometric graphs, and network optimization applied to stochastic obstacle environments and traveler’s problems. His work also includes spatial point pattern analysis and graph-theoretic methods for medical data and image analysis. He has published over 60 peer-reviewed articles, delivered numerous invited presentations, and served in editorial roles for journals such as Computational Statistics and Data Analysis and the Journal of Probability and Statistical Science. An elected member of the International Statistical Institute, he has held leadership roles in the International Association of Statistical Computing and served as president of the ASA Alabama–Mississippi Chapter. His honors include a TWAS Young Affiliate Fellowship, an International Outgoing Fellowship from the European Union, Auburn’s Marie Kraska Award for Excellence in Teaching, and the Phi Kappa Phi Love of Learning Award.

Note:

Contact Prof. JZ at jzhang@math.msstate.edu for additional information.