George Mason University
Computer vision and robots
Jana Košecká focuses on 'seeing' systems engaged in autonomous tasks and the acquisition of static and dynamic models of environments by means of visual sensors and human-computer interaction.
Košecká is a professor in the Department of Computer Science at George Mason University. She is a chair of the IEEE RAS Technical Committee of Robot Perception, associate editor of IEEE Robotics and Automation Letters and International Journal of Computer Vision, and a former editor of IEEE Transactions on Pattern Analysis and Machine Intelligence.
Prior to joining Mason, Košecká was a postdoctoral fellow at the EECS Department at University of California, Berkeley, affiliated with Robotics Laboratory and PATH.
Košecká has published more than 100 publications in refereed journals and conferences and is a co-author of a monograph titled “Invitation to 3D Vision: From Images to Geometric Models.” She has received the Marr Prize in Computer Vision and a National Science Foundation CAREER Award. She has held visiting positions at Stanford University, Google, and Nokia Research.
Košecká earned her Ph.D. in Computer Science from the University of Pennsylvania, Philadelphia.