Science and Engineering Scholarships and Fellowships Blog

“I want to build robotic vision systems that understand the visual world around them.”

Tomasz Malisiewicz is currently a third year PhD student at Carnegie Mellon University in Pittsburgh, Pennsylvania and a recent recipient of the National Science Foundation Graduate Research Fellowship. Malisiewicz did his undergraduate work at the Rensselaer Polytechnic Institute, graduating with a dual major in Computer Science and Physics and a minor in Mathematics.

Malisiewicz used his NSF Fellowship to study at Carnegie Mellon’s Robotics Institute. He is studying Machine Learning and Computer Vision although his main interest is in the later, especially in the application of machine learning techniques for detecting and segmenting objects in real scenes. On his profile for CMU’s Robotics Institute profile page Malisiewicz explains, “I study computer vision, and I am interested in the problems of unsupervised image segmentation and object recognition. I enjoy applying machine learning techniques to vision problems in combination with large amounts of training data. I am also interested in statistical text modeling and knowledge extraction from unstructured text.”

One of Maliziewicz’s most notable accomplishments was when he secured a coveted Software Engineering Internship at Google in the Summer of 2008. There he focused on the computer vision problems Google was encountering. He was also a student researcher from February to May of 2008 at Ecole Normale Supérieure (ENS) in Paris as part of the WILLOW Research Team.

Related: NSF Fellowship, Carnegie Mellon Robotic’s Institute, WILLOW Research Team, École Normale Supérieure de Paris