Student’s Name |
Graduation Year |
Degree |
Abstracts |
Research Name |
Gliner Vadim |
2024 |
PhD |
Abstracts |
12-Lead ECG Classification using Deep Learning Methods |
Yehuda Gal |
2023 |
PhD |
Abstracts |
Connections between Machine Learning and Theory of Computer Science |
Sivan Hadar |
2023 |
PhD |
Abstracts |
Efficient First and Second Order Methods for Function Monitoring and Optimization |
Hakimi Ido |
2022 |
PhD |
Abstracts |
Distributed Deep Neural Networks |
Funaro Liran |
2020 |
PhD |
Abstracts |
Market Driven Multi-Resource Allocation |
Kolchinskyy Ilya |
2019 |
PhD |
Abstracts |
Lazy Evaluation Methods for Complex Event Processing |
Lazerson Arnon |
2018 |
PhD |
Abstracts |
Efficient Monitoring of Distributed Data Streams |
Gabel Moshe |
2017 |
PhD |
Abstracts |
Communication-Efficient Algorithms for Distributed Stream Mining |
Verner Uri |
2016 |
PhD |
Abstracts |
Processing Real-time Data Streams on GPU-based Systems |
Yadgar Gala |
2012 |
PhD |
Abstracts |
Multilevel Cache Management Based on Application Hints |
Sagy Guy |
2012 |
PhD |
Abstracts |
Geometric Methods for Analyzing and Monitoring Large Distributed Data |
Friedman Arie |
2011 |
PhD |
Abstracts |
Privacy Preserving Data Mining |
Silberstein Mark |
2010 |
PhD |
Abstracts |
A Distributed System for Genetic Linkage Analysis |
Yadgar Avraham |
2010 |
PhD |
Abstracts |
New Approaches to Model Checking and to 3-Valued Abstraction and Refinement |
Sharfman Izchak |
2009 |
PhD |
Abstracts |
A Geometric Approach to Detecting Global Properties over Distributed Data |
Kravtsov Valentin |
2009 |
PhD |
Abstracts |
Service-Based Resource Brokering for Grid-Based Applications |
Gontmakher Alex |
2007 |
PhD |
Abstracts |
An Architecture and Programming Model for Extremely Fine Grain Parallelization |
Amit Nadav |
2014 |
PhD |
Abstracts |
Alleviating Virtualization Bottlenecks |
Agmon Ben-Yehuda Orna |
2013 |
PhD |
Abstracts |
Efficient, Non-Cooperative Sharing of Computing Resources |
Shagin Konstantin |
2009 |
PhD |
Abstracts |
Execution of Monolithic Java Programs on Large Non-Dedicated Collections of Commodity Workstations |
Heyman Tamir |
2004 |
PhD |
Abstracts |
Distributed Symbolic Model Checking |
Wolff Ran |
2004 |
PhD |
Abstracts |
Data Mining in Large-Scale Distributed Systems |
Itzkovitz Ayal |
1999 |
PhD |
|
Distributed Shared Memory: Bridging the Granularity Gap |
Liss Liran |
2006 |
PhD |
Abstracts |
Realizing the Performance of Contemporary Parallel and Distributed Systems: Theoretical and Systems Perspectives |
Palatin Noam |
2007 |
MSc |
Abstracts |
Monitoring Grid Batch Scheduling System by Data Mining Algorithms |
Levy Idan |
2024 |
MSc |
Abstracts |
A Deep Learning Platform for Diagnosing ECG Tests |
Shamshoum Yara |
2023 |
MSc |
Abstracts |
Solving Graph Problems using Differentiable Neural Computers |
Gad Raphael |
2023 |
MSc |
Abstracts |
Only Real Friends Matter – A clusters Based Deep Learning Paradigm for High Dimension Multivariate Forecasting |
Yankovitch Maor |
2022 |
MSc |
Abstracts |
Hypersonic: A Hybrid Parallelization Approach for Scalable Complex Event Processing |
Amir Adar |
2022 |
MSc |
Abstracts |
DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing |
Kosman Eitan |
2022 |
MSc |
Abstracts |
Complex Pattern Mining |
Eliad Saar |
2022 |
MSc |
Abstracts |
Scalable Distributed Deep Learning with Model Parallelism |
Chapnik Koral |
2022 |
MSc |
Abstracts |
DALRING: Data-Aware Load Shedding in Complex Event Processing Systems |
Shapira Guy |
2022 |
MSc |
Abstracts |
Unsupervised Frequent Pattern Mining for CEP |
Cohen Refael |
2022 |
MSc |
Abstracts |
SMEGA2: Distributed Deep Learning using a Single Momentum Buffer |
Sidi Gal |
2022 |
MSc |
Abstracts |
DELETE: Using Deep Learning to Minimize Latency in CEP Systems |
Nabwani Najeeb |
2021 |
MSc |
Abstracts |
Learning by Sampling: A Deep Learning Approach to the Plannted Clique Problem with Unlimited Sampling |
Elbaz Dolev Michael |
2021 |
MSc |
Abstracts |
Complex Pattern Forecasting on Multivaruate Time-Series |
Elul Yonatan |
2020 |
MSc |
Abstracts |
Applied Artificial Intelligence for Medicine – A Deep Learning Framework for Diagnosis of Cardiac Arrhythmia |
Agmon Shunit |
2020 |
MSc |
Abstracts |
Preventing Collusion in Cloud Computing Auctions |
Shor Roman |
2018 |
MSc |
Abstracts |
Efficiently Combining Confidentiality and Availability in Distributed Storage Systems |
Pismenny Boris |
2017 |
MSc |
Abstracts |
Market Driven Queueing |
Bernstein Ran |
2017 |
MSc |
Abstracts |
Laban Movement Analysis and LDA Distributed Monitoring |
Liram Matan |
2017 |
MSc |
Abstracts |
Evaluating Zigzag Code in a Distributed Storage System |
Koretzki Ran |
2017 |
MSc |
Abstracts |
Improving SSD-based Caches Lifetime with Write-Once Memory Codes |
Gabel Moshe |
2013 |
MSc |
Abstracts |
Unsupervised Anomaly Detection in Large Datacenters |
Posener Eyal |
2013 |
MSc |
Abstracts |
Dynamic Memory Allocation in Cloud Computers Using Progressive Second Price Auction |
Bar Pavel |
2012 |
MSc |
Abstracts |
Resource Management in Grid Environments |
Abboud Amir |
2012 |
MSc |
Abstracts |
Monitoring General Functions in Distributed Systems with Minimal Communication |
Ben-David David |
2012 |
MSc |
Abstracts |
Violation Resolution in Distributed Stream Networks |
Brickner Boaz |
2011 |
MSc |
Abstracts |
Methods for Recognition by Graphical Style and Style Synthesis Using Local Analysis |
Livne Avishay |
2010 |
MSc |
Abstracts |
Monitoring Distributed Data Streams |
Karmon Kfir |
2009 |
MSc |
Abstracts |
Enforcing a Global Resource Quota in a grid Environment |
Zamir Tal |
2008 |
MSc |
Abstracts |
Speculative Lock Acquisition for Fault-Tolerant Distributed Systems |
Yoshpa Bennyamin |
2008 |
MSc |
Abstracts |
Economic Aspects of QoS in Grid Computing |
Shklover Gregory |
2007 |
MSc |
Abstracts |
Explicitly-Parallel Code Compilation Methods for Shared- Context Architecture |
Katzengold Oren |
2006 |
MSc |
Abstracts |
Effective Use of Trace Caches |
Krivitski Denis |
2006 |
MSc |
Abstracts |
A Local Facility Location Algorithm for Large-Scale Distributed Systems |
Bar-Or Amir |
2004 |
MSc |
Abstracts |
Hierarchical Decision Tree Induction for Highly Dimensional Data in Large-Scale Distributed Systems |
Yadgar Avraham |
2004 |
MSc |
Abstracts |
Solving All-SAT Problem for Reachability Analysis |
Iosevich Vadim |
2004 |
MSc |
Abstracts |
Distributed Shared Memory: To Relax or not to Relax? |
Gilburd Baruch |
2004 |
MSc |
Abstracts |
A Privacy Model and Privacy-Preserving Algorithms for Data Mining in Large-Scale Distributed Systems |
Talmor Yoram |
2004 |
MSc |
Abstracts |
Higher Performance DSM by Peaking Network Utilization |
Pozniansky Eliyahu |
2003 |
MSc |
Abstracts |
Efficient On-the-Fly Data Race Detection in Multithreaded C++ Programs |
Kohn Emil |
2002 |
MSc |
Abstracts |
A Transparent DSM System |
Gleizer Vadim |
2002 |
MSc |
Abstracts |
Optimizing Sharing Patterns and Locality via Thread Migration |
Kalinovsky Vladislav |
2002 |
MSc |
Abstracts |
Symphony: Managing Virtual Servers |
Zeev Ben Mordejai Oren |
2001 |
MSc |
|
Efficient Integration of On-the-fly Data Race Detection in Distributed Shared Memory and Symmetric Multiprocessor Environments |
Niv Nitzan |
2000 |
MSc |
|
Dynamic Adaptation of the Sharing Granularity in Dsm Systems |
Reisman Amit |
1998 |
MSc |
|
Animation Using Parallel Progressive Ray-Tracing |
Goldin Maxim |
1996 |
MSc |
|
Weak Consistency Distributed Shared Memory System Design |
Dubrovsky Alexander |
1996 |
MSc |
|
Load Balancing in Distributed Shared Memory System |
Ben-Aroya Ishai |
1994 |
MSc |
|
Bounds and Algorithms for Deflection Routing |
Shemesh Galit |
1994 |
MSc |
|
Upper & Lower Bounds in Reconfigurable Networks |
Halevi Shai |
1993 |
MSc |
|
Greedy Hot-Potato Routing |
Nachum Shay |
2019 |
MSc |
Abstracts |
Detection in the Dark-Exploiting XSS Vulnerability in C&C Panels to Detect Malwares |
Barkai Saar |
2020 |
MSc |
Abstracts |
Distributed Deep Neural Networks |
Polyakov Sergey |
2003 |
MSc |
Abstracts |
Researching the Java Memory Model |