Ph.D Theses

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Ph.D Theses

Kumar, Shamanth. (Arizona State University) “Social Media Analytics for Crisis Response”, Advisor: Liu, Huan.

Yousof Mortazavi (The University of Texas at Austin) "Analog-to-Digital Converter Circuit and System Design to Improve with CMOS Scaling", Advisor: Brian L. Evans

Youssef, Khalid. (University of California, Los Angeles), “Progress toward the Next Generation of Bioreactors for 3D Tissue Engineering”, Advisor: Louis Bouchard

Shi, Feng. (Lehigh University) “Signal processing techniques and applications” (2015), Advisor: Yan, Zhiyuan

Zhou, Yin. (University of Delaware) “Sparse signal processing for machine learning and computer vision”, Advisor: Barner, Kenneth E.

Signal sparse representation solves inverse problems to find succinct expressions of data samples as a linear combination of a few atoms in the dictionary or codebook. This model has proven effective in image restoration, denoising, inpainting, compression, pattern classification and automatic unsupervised feature learning.

Gopalan, Prem K (Princeton University) “Scalable inference of discrete data: User behavior, networks and genetic variation” (2015) Advisor: Blei, David M.

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