Honglak Lee Receives CAREER Award for Research in Advanced Deep Learning Techniques
Assistant Professor Honglak Lee has been awarded an NSF CAREER grant for his project, “CAREER: New Directions in Deep Representation Learning from Complex Multimodal Data.”
Prof. Lee will develop advanced deep learning techniques to learn a robust representation that allows for holistic understanding and high-level reasoning (such as, analogy making, hypothetical reasoning and temporal prediction, and question answering) from complex, multimodal data.
The research outcomes will be distributed through publications, talks, and tutorials. Also, the project will integrate research and education through developing courses in machine learning that include deep learning as a key topic; mentoring significant graduate and undergraduate research activities; and k-12 outreach activities.
More information about the project is available in Prof. Lee’s CAREER Award Posting by NSF.
Prof. Lee received his Ph.D. in Computer Science from Stanford University in 2010 and joined the department that year. He received best paper awards at ICML 2009 and CEAS 2005, and is a recent recipient of a Google Faculty Research Award. Lee has served as an area chair for ICML 2013 and as a guest editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence special issue on learning deep architectures.
Prof. Lee has taught courses in Unsupervised Feature Learning (EECS 598), Machine Learning (EECS 545), and Discrete Mathematics (EECS 203). He is affiliated with the Artificial Intelligence Laboratory in the Computer Science and Engineering Division of the EECS Department.
About the NSF CAREER Award
The CAREER grant is one of the National Science Foundation’s most prestigious awards, conferred for “the early career-development activities of those teacher-scholars who most effectively integrate research and education within the context of the mission of their organization.”