Conference Papers
From Logs to Causal Inference: Diagnosing Large Systems
M. Markakis, B. Youngmann, T. Gao, Z. Zhang, R. Shahout, P. B. Chen, C. Liu, I. Sabek, and M. Cafarella
International Conference on Very Large Data Bases (VLDB), 2025
[PDF]
[BibTex]
[Code]
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge
Wenjia He, Ibrahim Sabek, Yuze Lou, and Michael Cafarella
International Conference on Very Large Data Bases (VLDB), 2024
[PDF]
[BibTex]
[Code]
Can Learned Models Replace Hash Functions?
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, and Tim Kraska
International Conference on Very Large Data Bases (VLDB), 2023
[PDF]
[BibTex]
[Code]
[MIT News Article]
The Case for Learned In-memory Joins
Ibrahim Sabek and Tim Kraska
International Conference on Very Large Data Bases (VLDB), 2023
[PDF]
[BibTex]
[Code]
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems
Ibrahim Sabek, Tenzin Samten Ukyab, and Tim Kraska
ACM International Conference on Management of Data (SIGMOD), 2022
[PDF]
[BibTex]
The Case for Distance-Bounded Spatial Approximations
Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, and Volker Markl
Conference on Innovative Data Systems Research (CIDR), 2021
[PDF]
[BibTex]
[Medium Post]
Sya: Enabling Spatial Awareness inside Probabilistic Knowledge Base Construction
Ibrahim Sabek and Mohamed F. Mokbel
IEEE International Conference on Data Engineering (ICDE), 2020
[PDF]
[BibTex]
CRA: Enabling Data-Intensive Applications in Containerized Environments (Short Paper)
Ibrahim Sabek, Badrish Chandramouli, and Umar Farooq Minhas
IEEE International Conference on Data Engineering (ICDE), 2019
[PDF]
[BibTex]
[Full Version]
[Code]
[Being used to build Microsoft analytics platforms]
TurboReg: A Framework for Scaling Up Spatial Logistic Regression Models
Ibrahim Sabek, Mashaal Musleh, and Mohamed F. Mokbel
ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2018
[PDF]
[BibTex]
[Best Paper Runner-up Award]
On Spatial Joins in MapReduce
Ibrahim Sabek and Mohamed F. Mokbel
ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2017
[PDF]
[BibTex]
[Code]
Sphinx: Empowering Impala for Efficient Execution of SQL Queries on Big Spatial Data
Ahmed Eldawy, Ibrahim Sabek, Mostafa Elganainy, Ammar Bakeer, Ahmed Abdelmotaleb, and Mohamed F. Mokbel
International Symposium on Spatial and Temporal Databases (SSTD), 2017
[PDF]
[BibTex]
[Code]
MonoPHY: Mono-Stream-based Device-free WLAN Localization via Physical Layer Information
Heba Abdel-Nasser, Reham Samir, Ibrahim Sabek, and Moustafa Youssef
IEEE Wireless Communications and Networking Conference (WCNC), 2013
[PDF]
[BibTex]
[Extended Version]
[More than 100 Citations]
Multi-entity Device-Free WLAN Localization
Ibrahim Sabek and Moustafa Youssef
IEEE Global Communications Conference (GlobeCom), 2012
[PDF]
[BibTex]
Wiki-Rec: A Semantic-based Recommender System using Wikipedia as an Ontology
Ahmed Elgohary, Hussien Nomier, Ibrahim Sabek, Mohamed Samir, Moustafa Badwi, and Noha A. Yousri
The International Conference on Intelligent Systems Design and Applications (ISDA), 2010
[PDF]
[BibTex]
[Alexandria University's Best CS Bachelor's Thesis Award]
Journal Papers
RegRocket: Scalable Multinomial Autologistic Regression with Unordered Categorical Variables Using Markov Logic Networks
Ibrahim Sabek, Mashaal Musleh, and Mohamed F. Mokbel
ACM Transactions on Spatial Algorithms and Systems (TSAS), 2019
[PDF]
[BibTex]
[Special issue on the Best Papers in ACM SIGSPATIAL 2018]
Flash: Scalable Spatial Probabilistic Graphical Modeling
Ibrahim Sabek
SIGSPATIAL Special, 2019
[PDF]
[BibTex]
ACE: An Accurate and Efficient Multi-Entity Device-Free WLAN Localization System
Ibrahim Sabek, Moustafa Youssef, and Athanasios V. Vasilakos
IEEE Transactions on Mobile Computing (TMC), 2015
[PDF]
[BibTex]
[More than 100 Citations]
Tutorials
Machine Learning Meets Big Spatial Data (Revised)
Ibrahim Sabek and Mohamed F. Mokbel
IEEE International Conference on Mobile Data Management (MDM), 2021
[PDF]
[BibTex]
Machine Learning Meets Big Spatial Data
Ibrahim Sabek and Mohamed F. Mokbel
IEEE International Conference on Data Engineering (ICDE), 2020
[PDF]
[BibTex]
Machine Learning Meets Big Spatial Data
Ibrahim Sabek and Mohamed F. Mokbel
International Conference on Very Large Data Bases (VLDB), 2019
[PDF]
[Website]
[Slides]
[BibTex]
Workshop Papers and Proposals
Constrained Quadratic Model for Optimizing Join Orders
Pranshi Saxena, Ibrahim Sabek, and Federico Spedalieri
Q-Data Workshop @ ACM International Conference on Management of Data (SIGMOD), 2024
[PDF]
[BibTex]
Press ECCS to Doubt (Your Causal Graph)
M. Markakis, Z. Zhang, R. Shahout, T. Gao, C. Liu, I. Sabek, and M. Cafarella
GUIDE-AI Workshop @ ACM International Conference on Management of Data (SIGMOD), 2024
[PDF]
[BibTex]
[Best Workshop Paper Award]
Learning-Augmented Frequency Estimation in Sliding Windows
Rana Shahout, Ibrahim Sabek, and Michael Mitzenmacher
ICNT Workshop @ IEEE International Conference on Network Protocols (ICNP), 2024
[PDF]
[BibTex]
First Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data)
Ibrahim Sabek, Immanuel Trummer, and Stefan Prestel
Companion of the 2024 International Conference on Management of Data (SIGMOD), 2024
[PDF]
[BibTex]
When Are Learned Models Better Than Hash Functions?
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, and Tim Kraska
Applied AI for Database Systems and Applications Workshop (AIDB) @ International Conference on Very Large Data Bases (VLDB), 2021
[PDF]
[BibTex]
The Case for Learned Spatial Indexes
Varun Pandey, Alexander van Renen, Andreas Kipf, Ibrahim Sabek, Jialin Ding, and Alfons Kemper
Applied AI for Database Systems and Applications Workshop (AIDB) @ International Conference on Very Large Data Bases (VLDB), 2020
[PDF]
[BibTex]
[Code]
Adopting Markov Logic Networks for Big Spatial Data and Applications
Ibrahim Sabek
PhD Workshop @ International Conference on Very Large Data Bases (VLDB), 2019
[PDF]
[BibTex]
Posters, Demos, and Extended Abstracts
Sawmill: From Logs to Causal Diagnosis of Large Systems (Demo Paper)
M. Markakis, A. B. Chen, B. Youngmann, T. Gao, Z. Zhang, R. Shahout, P. B. Chen, C. Liu, I. Sabek, and M. Cafarella
ACM International Conference on Management of Data (SIGMOD), 2024
[PDF]
[BibTex]
Pyneapple-L: Scalable Expressive Learning-based Spatial Analysis (Demo Paper)
Y. Liu, N. Lee, Y. Kang, M. R. Shahneh, A. Mahmood, V. R. Chinnam, A. V. Sarawadekar, S. Oymak, I. Sabek, and A. Magdy
ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2024
[PDF]
[BibTex]
[Best Demo Award]
PAINE Demo: Optimizing Video Selection Queries With Commonsense Knowledge (Demo Paper)
Wenjia He, Ibrahim Sabek, Yuze Lou, and Michael Cafarella
International Conference on Very Large Data Bases (VLDB), 2023
[PDF]
[Video]
[BibTex]
Flash in Action: Scalable Spatial Data Analysis Using Markov Logic Networks (Demo Paper)
Ibrahim Sabek, Mashaal Musleh, and Mohamed F. Mokbel
International Conference on Very Large Data Bases (VLDB), 2019
[PDF]
[BibTex]
Towards Scalable Spatial Probabilistic Graphical Modeling (Graduate Student Research Competition)
Ibrahim Sabek
ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2019
[PDF]
[BibTex]
[Won the gold medal (first place in the competition)]
A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System (Demo Paper)
Ibrahim Sabek, Mashaal Musleh, and Mohamed F. Mokbel
ACM International Conference on Management of Data (SIGMOD), 2018
[PDF]
[BibTex]
Optimizing Spatial Queries in MapReduce (Student Research Competition)
Ibrahim Sabek
ACM International Conference on Management of Data (SIGMOD), 2017
[PDF]
[BibTex]
[Selected among top 10 finalists]
SPOT Demo: Multi-entity Device-Free WLAN Localization (Demo Paper)
Ibrahim Sabek and Moustafa Youssef
The ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization (WiNTECH) in conjunction with ACM MobiCom, 2012
[PDF]
[BibTex]
Theses
Adopting Markov Logic Networks for Big Spatial Data and Applications
Ibrahim Sabek
PhD Thesis, University of Minnesota, 2020
[PDF]
[BibTex]
[University of Minnesota's Best Doctoral Dissertation, Honorable Mention ]
Intelligent Hybrid Man-Machine Translation Evaluation
Ibrahim Sabek
MSc Thesis, Alexandria University, 2014
[PDF]
[BibTex]
[Egypt Media Coverage]