Prof. Jitendra Malik has been named recipient of the Association for Computing Machinery (ACM) and Association for the Advancement of Artificial Intelligence (AAAI) Allen Newell Award. The Allen Newell award is presented to an individual for career contributions that have breadth within computer science, or that bridge computer science and other disciplines. Prof. Malik’s research has addressed several important problems in computer vision: how to characterize contours in images, how to segment images, and how to represent shape for feature matching. He also was a leader in evaluation methods through the creation of the Berkeley segmentation dataset, using human segmentations to evaluate the correctness of the algorithmic segmentations. He pioneered the use of normalized cuts, anisotropic diffusion, high dynamic range imaging, shape context and the use of graph theory for low-level to mid-level computer vision problems. In computer graphics, his research showed how digital photographs and user-guided photogrammetry can be used to synthesize highly photorealistic computer-generated architectural scenes. He also has made important contributions to computational models of human texture perception including segmentation, shape from texture, and intrinsic image computation.