Majid Mirzanezhad
Ä¢¹½ÊÓƵ University
Athens, OH
Majid Mirzanezhad, Ph.D., is a computer scientist whose expertise bridges the theoretical and applied facets of computer science. His research focuses on computational geometry, shape and image analysis, spatial systems, and transportation. Dr. Mirzanezhad is dedicated to designing efficient and impactful computational frameworks that enhance the equity of transportation services for underserved populations. His work aims to improve access to medical facilities for vulnerable individuals, fostering a stigma-free community by providing actionable policy insights. These insights empower policymakers and practitioners in adjacent disciplines to refine infrastructure and optimize logistics for equitable commuting solutions.
Dr. Mirzanezhad has served as a Research Fellow at the University of Michigan's Transportation Research Institute (UMTRI) and as a Research Associate at global policy think tank RAND Corporation, where he contributed to the design of community-centered commuting services. He has received the Best Paper Award at the International Workshop on Spatial Computing and Computation (IWISC) and has been actively involved in numerous high-impact projects at the national level, spanning academia, think tanks, and the private sector. His collaborators include the National Science Foundation, Ford Motor Company, and RAND Corporation.
Education
Postdoctoral Research Fellow, University of Michigan – Ann Arbor, 2024
Ph.D., Computer Science, Tulane University, New Orleans, 2021
Bsc/Msc, Amirkabir University of Technology (Tehran Polytechnic), 2015
Research/Professional Interests
Computational Geometry – Geographic Information Systems (GIS) – Spatial Algorithms – Transportation
Publications
H. Akitaya, M. Buchin, M. Mirzanezhad, L. Ryvkin, and C. Wenk, "Realizability of Free Spaces of Curves'', In the 34th International Symposium on Algorithms and Computation (ISAAC) 283(5): 1--20, 2023. To appear in the Journal of Computational Geometry: Theory and Applications (CGTA) (Special Issue).
M. Kerkhof, I. Kostitsyna, M. Löffler, M. Mirzanezhad and C. Wenk. "Global Curve Simplification'', European Symposium on Algorithms (ESA), 144:1–14, Munich, Germany, 2019.