Kyle Wilson

Kyle Wilson is an Associate Professor of Computer Science and Software Engineering at Rose-Hulman Institute of Technology, his alma mater. He holds a PhD in Applied Mathematics from Cornell University (2016), an MS in Applied Mathematics from Cornell (2014), and dual BS degrees in Mechanical Engineering and Mathematics from Rose-Hulman (2011). His research focuses on Geometric Computer Vision, Machine Learning, and Optimization on Graphs and Manifolds. He has extensively taught courses such as Data Structures, Algorithms, and Scientific Computing. Prior to his current role, he taught at Washington College in Maryland, where he advised numerous theses and helped establish a data science program.

Wilson's research emphasizes computational solutions for large-scale geometric problems in computer vision, including robust 3D reconstruction and sensor fusion. His work bridges applied mathematics and practical engineering challenges, with applications in robotics and geomatics. Though no specific awards are listed, his contributions to academic advising and curricular development at Rose-Hulman highlight his commitment to education.

His advising history includes mentoring dozens of student theses, though specific names are not provided here. No grant details or lab affiliations are explicitly mentioned in the provided materials.