Profile

Prof. Alper Yilmaz

Ohio State University

Contact Details

Ohio State University

Bio

Dr. Yilmaz is a Professor of Geo-Informatics at The Ohio State University. He is a fellow of ASPRS, a senior member of IEEE, and a senior member of the US National Academy of Inventors. Dr. Yilmaz is currently president of the ISPRS Technical Commission II on Photogrammetry and serves as the Editor-In-Chief for the Photogrammetric Engineering and Remote Sensing Journal. He has served as Associate Editor for the Computer Vision and Image Understanding Journal between 2014 and 2016 and the Machine Vision and Applications Journal between 2006 and 2011.

Based on a recent study from Stanford University and Elsevier (published on October 19, 2021), Dr. Yilmaz is listed among the top 2% most cited researchers in the fields of “Artificial Intelligence & Image Processing” and “Geological & Geomatics Engineering” in both career-long (1960-2021) and single year (2021) categories. The ranking covers 22 major fields and 176 subfields.

Dr. Yilmaz’s research focuses on biomimetic navigation systems for unmanned systems, mining anomalies in multi-physics and multi-dimensional data for surveillance, and learning geospatial information for scene understanding. He has organized many Photogrammetry, Remote Sensing, and Computer Vision conferences on these topics. Dr. Yilmaz’s research has received over $12M in extramural funding from NASA, NSF, DOD, DOE, and industry, resulting in over 190 publications and patents that received over 12,000 citations (according to Google Scholar).

Dr. Yilmaz was awarded the Innovator of Year (OSU) in 2020, Presidential Citation in 2019 from the American Society for Photogrammetry and Remote Sensing, Honorable Mention for the Masao Horiba Award (Japan) in 2016, the Lumley Interdisciplinary Research Award (OSU) in 2015, and the Lumley Research Award (OSU) in 2012. He has advised 24 Ph.D. and 15 M.Sc. students to completion on topics ranging from object tracking, 3D scene recovery, and machine learning to data mining who have found positions in prominent academic institutions, industry, and the government.