Laszlo Jeni

Laszlo Jeni is an Assistant Research Professor in the Mechanical Engineering department at Carnegie Mellon University. They are affiliated with the Computational Behavior Lab, where their research focuses on computer vision and machine learning for behavior science and affective computing. Their work involves modeling, analyzing, and synthesizing human behavior using diverse sensors, including video and biosensors. The research is motivated by applications in human health, computer graphics, and assistive computer vision. For more information, visit their website or contact laszloaj@andrew.cmu.edu.

Laszlo A. Jeni is an Assistant Professor in the Robotics Institute at Carnegie Mellon University, specializing in Computational Behavior, Computer Vision, and Deep Learning. His research focuses on developing advanced methods for analyzing and modeling human behavior through computational and visual techniques. He explores applications such as facial expression recognition, physiological estimation, and real-time 3D face alignment. His work addresses challenges in imbalanced data, cross-domain analysis, and the integration of behavioral markers with physiological signals. Jeni's research contributes to the fields of affective computing, video analysis, and non-contact physiological estimation.