Jonas August

Jonas August is a Project Scientist at the Robotics Institute of Carnegie Mellon University, focusing on geometry and uncertainty in computer vision and medical imaging. He employs probabilistic techniques like Markov processes and random fields to develop algorithms for medical image enhancement, including streak artifact removal in X-ray CT scans and vascular structure inference.

• Education:
• Ph.D., Yale University (2001)
• M.Phil., Yale University (1999)
• M.Sc., Yale University (1999)
• M.Eng., McGill University (1996)
• B.Eng., McGill University (1993)

His research spans medical imaging, image regularization, and mathematical modeling, with applications in robotic perception and neural architecture. His work includes scalable regularized tomography algorithms and the development of DOC, a GNU/Linux cluster for medical imaging. He is supported by the National Science Foundation (Grant No. 0305719).

August explores image statistics, curve inference, and object representation stability, contributing to contour fragment grouping and perceptual organization theories.