Dr. Fernando Frade

Biography

Fernando De la Torre Frade is a Research Professor at the Robotics Institute of Carnegie Mellon University. His research focuses on machine learning, signal processing, and computer vision, particularly in understanding human behavior through multimodal sensors such as video and body sensors. A significant portion of his work involves Component Analysis (CA) methods, including kernel Principal Component Analysis and normalized cuts, to decompose signals into relevant components for classification and visualization. He leads the Component Analysis Lab and is a co-leader of the Human Sensing Lab at CMU, where he is dedicated to modeling and understanding human behavior through sensory data. His research aims to advance applications in fields such as human health, computer graphics, machine vision, biometrics, and human-machine interfacing. He has developed algorithms for real-time face tracking, recognition, and expression analysis.

Research Interests