2019 MSC Theses

• MSC-2019-01 Avner Elizarov (Erez Petrank): LOFT: Lock-Free Transactional Data Structures
• MSC-2019-02 Marina Minkin (Mark Silberstein): Improving Performance and Security of Intel SGX
• MSC-2019-03 Assaf Rosenbaum (Eli Biham and Sara Bitan): Trusted Execution Environments
• MSC-2019-04 Alex Kreimer (Ehud Rivlin, Ilan Shimshoni): Algorithms for Visual Odometry
• MSC-2019-05 Shahar Harel (Kira Radinsky and Shaul Markovitch): Prototype-Based Chemical Design using Diversity-Driven Generative Models
• MSC-2019-06 Nurit Devir (Orna Grumberg and Shaul Markovitch): Applying Machine Learning for Identifying Attacks at Run-Time
• MSC-2019-07 Itay Evron (Daniel Soudry): Efficient Loss-Based Decoding on Graphs for Extreme Classification
• MSC-2019-08 Niv Derech (Ayellet Tal, Ilan Shimshoni): Solving Archaeological Puzzles
• MSC-2019-09 Izhak Golan (Ran El-Yaniv): Deep Anomaly Detection Using Geometric Transformations
• MSC-2019-10 Eylon Shoshan (Kira Radinsky): Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?
• MSC-2019-11 Yotam Eshel (Shaul Markovich): An Attention-RNN based approach for Named Entity Disambiguation with Noisy Texts
• MSC-2019-12 Yochai Zur (Alexander M. Bronstein): Differentiable Neural Architecture Search with an Arithmetic Complexity Constraint
• MSC-2019-13 David Cohen (Mirela Ben-Chen): Generalized Volumetric Foliation From Inverted Viscous Flow
• MSC-2019-14 Yehonatan Buchnik (Roy Friedman): TOY: a Total ordering Optimistic sYstem for Permissioned Blockchains
• MSC-2019-15 Tanya Brokhman (Mark Silberstein): An OS page cache for hetrogeneous systems
• MSC-2019-16 Idan Hasson (Alexander Bronstein): Acquisition and Prediction of Gestures' Surface EMG Data Using Sequential Deep Learning Methods
• MSC-2019-17 Zuphit Fidelman (Roy Friedman): A Generic Sharding Scheme for Blockchain Protocols
• MSC-2019-18 Dvir Dukhan (Prof. Benny Kimelfeld): Effective Enumeration of Tree Decompositions for Solver Optimization
• MSC-2019-19 Amir David Nissan Cohen (Ran El-Yaniv, Eytan Blumenthal): Bayesian Algorithms for Vision Acuity Exams
• MSC-2019-20 Matthias Bonne (Keren Censor-Hillel): Distributed Detection of Cliques in Dynamic Networks
• MSC-2019-21 Michal Badian (Shaul Markovitch): Knowledge-Based Learning through Feature Generation
• MSC-2019-22 Aviram Magen (Kira Radinsky): Find A Cure: Learning to Rank Articles for Molecular Queries
• MSC-2019-23 Moshe Lichtenstein (Ron Kimmel): Deep Eikonal Solvers
• MSC-2019-24 Nitzan Zamir (Yoram Moses): Belief Requirements in Probabilistic Systems
• MSC-2019-25 Guy Elad (Kira Radinsky and Benny Kimelfeld): Generating Personalized Product Descriptions from User Reviews
• MSC-2019-26 Alon Shtaierman (Yuval Ishai, Eli Ben-Sasson): Decentralized Monetary Policy for Cryptocurrencies
• MSC-2019-27 Dor Ringel (Kira Radinsky and Shaul Markovitch): Cross-Cultural Transfer Learning for Text Classification
• MSC-2019-28 Gal Milman (Erez Petrank): BQ: A Lock-Free Queue with Batching