2018 PHD Theses

• PHD-2018-01 Jeremias Sulam (Michael Elad): From Local to Global Sparse Modeling
• PHD-2018-02 Gal Lalouche (Yossi Gil): The Consistency, Independence and Validity of Software Complexity Metrics
• PHD-2018-03 Arnon Lazerson (Assaf Schuster, Daniel Keren): Efficient Monitoring of Distributed Data Streams
• PHD-2018-04 Matan Sela (Ron Kimmel): Shape Synthesis and Analysis by Deformable Models
• PHD-2018-05 Eran Gilad (Yoav Etsion): Parallel Execution Using Memory Versioning And Renaming
• PHD-2018-06 Hasan Abasi (Nader H. Bshouty): Exact Learning of Monotone Functions from Membership Queries
• PHD-2018-07 Yaron Kassner (Roy Friedman): Frugal Counting
• PHD-2018-08 Ran Ben Basat (Roy Friedman): Big Data Methods for Efficient Network Monitoring
• PHD-2018-09 Adi Omari (Eran Yahav, Sharon Shoham): Scalable Data Extraction via Program Synthesis
• PHD-2018-10 Maya Raviv (Hagit Attiya, Adam Morrison): Theoretical and Experimental Methods for Concurrent Search Trees
• PHD-2018-11 Eunyong Ahn (Tomer Shlomi): Characterization of Cellular Metabolism throughout the Cell Cycle in Cancer: An Integrated Experimental-Computational Approach
• PHD-2018-12 Edward Vitkin (Zohar Yakhini): Computational Aspects of Metabolic Processes: Modeling, Analysis and Applications
• PHD-2018-13 Yehuda Dar (Alfred Bruckstein and Michael Elad): New Methods for Signal Compression and Their Relations to Restoration Problems
• PHD-2018-14 Ariel Barel (Alfred M. Bruckstein): Gathering and Steering Swarms
• PHD-2018-15 Yael Yankelevsky (Michael Elad): Sparsity-Based Processing of Graph Structured Data