The research in the lab is supported by the government and industry, with funding partners including the Army Research Office, Department of Energy, National Science Foundation, Air Force Research Labs, National Institute of Health, UbiHere Inc., Etegent Technologies Inc, Pelotonia, OSU Center for Medical and Engineering Innovation, Trimble Inc., US National Aeronautics and Space Administration, US National Geospatial-Intelligence Agency, Ford Motor Company, ImmobileEyes, and others.
Research Experience
Director of Photogrammetric Computer Vision Lab. The lab is located in Bolz Hall 214C, equipped with a sensor calibration room, state-of-the-art workstations with GPUs for deep learning studies, and small robotic systems including ground and aerial units.
Background
Research interests include: deep learning for multidimensional multi-physics data, navigation and positioning, scene understanding from image sequences, 3D recovery using sensor integration, AI/ML for medical imaging, AI/ML for human motion analysis.