William J. Beksi

William J. Beksi is an Assistant Professor at The University of Texas at Arlington's Department of Computer Science and Engineering, and director of the Robotic Vision Laboratory. His research focuses on robotics, computer vision, and machine learning, with applications in autonomous systems, agricultural robotics, and event-based vision.

• PhD, MS in Computer Science (University of Minnesota)
• BS in Mathematics and Computer Science (Stevens Institute of Technology)

Dr. Beksi develops algorithms for robot perception and autonomy, emphasizing topological data analysis, control barrier functions, and 3D reconstruction. His work has been sponsored by NSF, USDA, DoD, and industry partners.

Recent publications (2023-2025) span event-based vision, agricultural robotics, 3D vision, and safety-critical systems. Key trends include polynomial path planning for deception, edge-informed contrast maximization, and semi-supervised active learning frameworks.

• ONR Summer Faculty Fellow (2022-2024)
• NSF CRII Award (2020)
• IEEE Senior Member
• UTA CSE Rising Star Research Award (2024)

Dr. Beksi advises PhD students in robotics and computer vision, including recipients of UTA Dissertation Fellowships and DoD SMART scholarships. His lab collaborates with institutions like krtkl, AFRL, and NSWCDD on projects ranging from UAV collision avoidance to lunar robotics.