Dr. Siddharth Manay is a technical member of staff in the Engineering directorate. He works on the application of data science to nonproliferation and intelligence problems, including mathematical methods for multi-sensor integration and large-scale image and video processing problems (such as broad area search, object tracking, and compression). His roles on multi-disciplinary teams include algorithm research and development, software development, operations support, and leadership for research projects.
Siddharth joined LLNL in 2004 as a data scientist. He holds a Ph.D. (2003) in Electrical Engineering from the Georgia Institute of Technology where he developed methods for image processing and computer vision.
Ph.D. Electrical Engineering, Georgia Institute of Technology, Atlanta, Georgia)
“Fusion and Inference of Remote Sensing Data to Infer Essential Elements of Information,”. S. Manay et al., to appear in the Proceedings of the National Symposium on Sensor and Data Fusion (NSSDF), Dec 2021.
“Method and System for Detecting Polygon Boundaries of Structures in Images as Particle Tracks Through Fields of Corners and Pixel Gradients,” D. Paglieroni and S. Manay, United States Patent 8,081,798, December 20, 2011
"Signal-to-Noise Behavior for Matches to Gradient Direction Models of Corners in Images", D. Paglieroni and S. Manay, SPIE Defense and Security Symposium, April 2007.
"Matching Flexible Polygons to Fields of Corners Extracted from Images," S. Manay and D. Paglieroni, Int'l Conf. on Image Analysis and Recognition, November 2007.
"Detecting Polygons of Variable Dimension in Overhead Images with Particle Filters," S. Manay and D. Paglieroni, Int'l Conf. on Image Proc., Oct 2008.
“Integral Invariants and Shape Matching,” S. Manay, D. Cremers, B. W. Hong, A. Yezzi and S. Soatto, Chapter in Statistical Analysis of Shapes, (H. Krim and A. Yezzi, eds), Birkhauser, Boston, 2006.
"Integral Invariants and Shape Matching," S. Manay, D. Cremers, B. Hong, A. Yezzi, and S. Soatto, in IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 28, 2006.
"Anti-Geometric Diffusion for Adaptive Thresholding and Fast Segmentation," S. Manay and A. Yezzi, IEEE Transactions on Image Processing. Vol. 11, Nov. 2003.