PhD Theses Graduate Students
MSc Theses
Graduate Students
PhD Theses (in progress)
MSc Theses (in progress)

PhD Theses

Roee Shraga

(2017 Leonard and Diane Sherman Interdisciplinary Graduate School Fellowship, 2018 Faculty Excellence Scholarship Award, 2019 Daniel Award, 2019 Grinblat Award, 2020 Miriam and Aaron Gutwirth for Outstanding Research Achievements)

Topic: “(Artificial) Mind over Matter: Integrating Humans and Algorithms in Solving Matching Problems.”
Completed: September 2020

Alon Sagi

(Joint with Dr. Dani Broitman) (2020 VATAT Award for interdisciplinary research in Data Science)

Topic: “Analyzing and forecasting changes in demand for neighborhoods using Data Science tools.”
Ph.D. Completed: December 2022

Sara Keren

(Joint with Dr. Erez Karpas) (2016 Eric and Wendy Schmidt Postdoctoral Award, 2017 Jacobs Scholarship Award, 2017 National Postdoctoral Award for Advancing Women in Science)

Topic: “Goal Recognition Design.”
Ph.D. Completed: June 2018

Arik Senderovich

(Joint with Prof. Avishai Mandelbaum) (2016 Faculty Excellence Scholarship Award, Best dissertation award at BPM’2017)

Topic: “Service Analysis and Simulation In Process Mining.”
Ph.D. Completed: February 2017

Batya Kenig

Topic: “Message Propagation Algorithms for Weighted Model Counting.”
Ph.D. Completed: December 2015

Tomer Sagi

(2013 Jacobs Scholarship Award)

Topic: “Schema Matching Quality Prediction.”
Ph.D. Completed: April 2015

Maya Lincoln

Topic: “Framework and Tools for the Generation and Customization of Business Process Model Content”
Ph.D. Completed: October 2011

Segev Wasserkrug

(Joint with Dr. Opher Etzion)

Topic: “A Language and an Execution Model for Uncertain Inference and Prediction of Events in Active Systems.”
Ph.D. Completed: September 2008

Rami Rashkovits

Topic: “Managing Dynamic Web Object Caching: the Latency versus Obsolescence Tradeoff.”
Ph.D. Completed: July 2007

PhD Theses (in progress)

Coral Scharf

(2021 VATAT Award for Data Science research)

Topic: “Quality-aware Ranking for Recommendation Systems.”

Bar Genosar

Topic: “Deep Learning with Knowledge Graphs for Data Integration Betterment.”

Eli Bogdanov

Topic: “Process Mining in Stochastic Settings”

MSc Theses

Shimon Golan

(Joint with Prof. Ron Pinter)

Topic: “Efficient Algorithms for Computing Resource Availability and Update Patterns.”
M.Sc. Completed: June 2006

Liron Valdman

Topic: “Sensor Selection for Complex Event Detection.”
M.Sc Completed: November 2015

Nimrod Busani

Topic: “Incorporating Uncertainty into Event-Based Monitoring Systems.”
M.Sc. Completed: March 2014

Ella Rabinovich

(Joint with Dr. Opher Etzion)

Topic: “Optimization of Event Pattern Execution Plans.”
M.Sc. Completed: November 2011

Yulia Turchin

Topic: “Rule Tuning with Uncertain Events.”
M.Sc. Completed: August 2009

Anan Marie

Topic: “Machine Learning Approach to Schema Matcher Orchestration.”
M.Sc. Completed: March 2008

Ami Eyal

Topic: “Self Organizing Semantic Topologies in Peer Database Systems.”
M.Sc. Completed: May 2007

Inbal Yahav

Topic: “Bid-Based Online Scheduling of Unit-Length Tasks with Hard Deadlines.”
M.Sc. Completed: June 2006

Jacob Avidar

Topic: “Run-Time Process Scheduling in Hard Real Time Systems with Process Dependency Constraints.”
M.Sc. Completed: September 2004

Yochai Ben-Haim

Topic: “Multi-Directional Asynchronous Updates of Replicas with Auto-Counter Primary Key Attributes.”
M.Sc. Completed: June 2004

Gabi Koifman

(Joint with Dr. Onn Shehori)

Topic: “Multi-Agent Negotiation over Database-based Information Goods.”
M.Sc. Completed: February 2004

Dafna Schumacher

Topic: “Inductive Data-aware Process Discovery.”
M.Sc. Completed: June 2019

Yossi Dahari

Topic: “Model synthesis in process mining.”
Completed (with distinction): August 2018

Jonathan Svirsky

Topic: “Incremental Entity Resolution.”
M.Sc. Completed: September 2017

Sapir Golan

Topic: “Probabilistic Entity Resolution.”
M.Sc. Completed September 2017

Eli Bogdanov

Topic: “Conformance Checking Over Stochastically Known Logs”
M.Sc. Completed: May 2022.

Matan Solomon

Topic: “Graph Representation Learning For Human Annotators Representation”
M.Sc. Completed: August 2024.

MSc Theses (in progress)

Sagi Levy

Topic: “Dynamic Blockchain: Block Size and Monopolistic Auctions.”

Reuven Vainblat

Topic: “Bootstrap Aggregation over GNNs”

Ido Botzer

Topic: “Sampling by Clustering”

Inbar Nachmani

Topic: “A Proximity Aware Loss Function for Ordinal Classification”

Omer Vered

Topic: “Online In-Context Active Learning of Personalized LLMs”

Yair Zissu

Topic: “Entity Alignment using Self Supervised Pretraining over Feature Graphs”

Guy Lorinczi

Topic: “Causal Effect Estimation and Performance Measure Optimization in Business Processess”

Maximilian Matyash

Topic: “Diffusion Denoising Trace Recovery”

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