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Ph.D Theses

Karl Nieman (The University of Texas at Austin) "Space-Time-Frequency Methods for Interference-Limited Communication Systems", (2014), Advisor: Brian Evans

Zhao, Xiaochuan, (University of California, Los Angeles) “Learning under Imperfections by Networked Agents” (2015)  Advisor: Ali H. Sayed

Li, Kang (Northeastern University) “Video event recognition and prediction based on temporal structure analysis”, Advisor: Fu, Yun

Oymak, SametView (California Institute of Technology) “Convex relaxation for low-dimensional representation: Phase transitions and limitations” (2015), Advisor: Hassibi, Babak 

Abou-zeid, Hatem. Queen's University (Canada) “Predictive radio access networks for vehicular content delivery” (2014)

Bing Hu, (University of California, Riverside) “Mining Time Series Data: Moving from Toy Problems to Realistic Deployments” (2013) Advisor: Eamonn Keogh

 Yingying Zhu (University of California Riverside) “Towards Sparse Modeling of Multi-object Interactions in Video” Advisor: Amit K. Roy-Chowdhury

Le An, (University of California, Riverside) “Real-World Person Identification”(2014) Advisor: Bir Bhanu

Das, Jnaneshwar (University of Southern California) “Data-driven Robotic Sampling for Marine Ecosystem Monitoring” Advisor: Sukhatme, Gaurav S. (2014)

Wachowski, Neil. (Colorado State University) “Characterization of Multiple Time-Varying Transient Sources from Multivariate Data Sequences”,  Advisor: Azimi-Sadjadi, Mahmood R. (2014)


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