Friday, Feb. 17, noon
ConocoPhillips Integrated Science Building, Room 120
The volume and complexity of available multimedia and multimodal sensor data holds dramatic promise for advances in all directions of our lives, from gaining knowledge and insights about our environment and individual and group psychology and behavior, to analysis and actionable decision making for security and emergency management. At the same time, handling this data poses new challenges in data analytics, sensor networks, and human factors research. We will discuss two frameworks for processing large data sets with minimal human intervention, based on an approach combining geometry, image processing, information theory, machine learning, and active sensing.We will describe applications in: detecting, recognizing, and labeling people in unorganized imagery; long range, long term detection and tracking of vessels in the Hudson River; and the processing of large 3D point clouds.
Dr. George Kamberov is an Associate Professor in the Computer Science Department at Stevens Institute of Technology. He earned his M.S. in Mathematics at the University of Sofia in Bulgaria and his Ph.D in Mathematics at the University of Pennsylvania. He has published widely in mathematics, computer science, computer vision, pattern recognition, and related fields. Dr. Kamberov also performs research in computer and network security, medical records, compression, and data reduction.
This lecture series is presented by UAA Complex Systems and the Office of Research and Graduate Studies.