ECE Seminar Series

Joint Electrical and Computer Engineering and Computer Science Seminar

Title: Sampling and Inference for Spatiotemporal Single-Photon Imaging
Speaker: Yue M. Lu
Affiliation: Harvard University
Day: Friday, March 6, 2015
Time: 2:00 pm - 3:00 pm
Location: LSC 372-374

Abstract: Resolving individual photons in space and time is the holy grail of optical sensing. Recent advances in materials, devices and fabrication technologies have led to an emerging class of solid-state sensors with single photon sensitivity. Thanks to their sub-nanosecond time resolution, and rapidly improving spatial resolution, these new single-photon sensors (SPS) have been a key enabling technology behind recent breakthroughs in several domains, including fluorescence-based bio-imaging, time-of-flight 3D computer vision, LIDAR, high-speed videography, and astronomy. In this talk, I will present models, theory, and algorithms in signal sampling and inference to address several challenges associated with the SPS. In particular, I will present our work on establishing the performance bounds of the SPS in acquiring light intensity fields; on time-sequential adaptive sensing schemes that allow one to push the imaging capabilities of SPS systems beyond the nominal limit imposed by current hardware; and on new image formation algorithms that can efficiently "decode" the massive bitstreams generated by the SPS.

Bio: Yue M. Lu attended the University of Illinois at Urbana-Champaign, where he received the M.Sc. degree in mathematics and the Ph.D. degree in electrical engineering, both in 2007. He was a Research Assistant at the University of Illinois at Urbana-Champaign, and has worked for Microsoft Research Asia, Beijing, and Siemens Corporate Research, Princeton, NJ. From September 2007 and September 2010, he was a postdoctoral researcher at the Audiovisual Communications Laboratory at Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland. He is currently an Assistant Professor of Electrical Engineering at Harvard University, directing the Signals, Information, and Networks Group (SING) at the School of Engineering and Applied Sciences. His work received several awards, including the Most Innovative Paper Award of IEEE International Conference on Image Processing (ICIP) in 2006, the Best Student Paper Award of IEEE ICIP in 2007, the Best Student Presentation Award at the 31st SIAM SEAS Conference in 2007. Student papers supervised and coauthored by him won the Best Student Paper Award of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) in 2011, and the Best Student Paper of IEEE Global Conference on Signal and Information Processing (GlobalSIP) in 2014.