World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6481
World Ranking
10671
National Ranking
424

Overview

Lukasz Golab is affiliated with the University of Waterloo in Canada and specializes in the field of Computer Science. Their research contributions encompass a variety of subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing, and Management Science and Operations Research.

Their scholarly work covers several main topics such as Advanced Database Systems and Queries, Data Management and Algorithms, Data Mining Algorithms and Applications, Data Quality and Management, Hate Speech and Cyberbullying Detection, Gambling Behavior and Treatments, and Explainable Artificial Intelligence (XAI).

Lukasz Golab has authored numerous research papers published in recognized venues. Notable recent publications include:

  • FastFabric: Scaling hyperledger fabric to 20 000 transactions per second, 2020, International Journal of Network Management
  • Erratum for Discovering Order Dependencies through Order Compatibility (EDBT 2019), 2020, Movebank
  • Effective Keyword Search Over Weighted Graphs, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Robust keyword search in large attributed graphs, 2020, Information Retrieval
  • Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media, 2024, Proceedings of the AAAI Conference on Artificial Intelligence

Recurring publication venues for their work include:

  • arXiv (Cornell University)
  • Information Systems
  • Energy Informatics
  • Proceedings of the VLDB Endowment
  • Movebank

Collaborations form an important aspect of their research endeavors. Frequent co-authors include Jaroslaw Szlichta, Divesh Srivastava, Mehdi Kargar, Parke Godfrey, and Liam Hebert.

Best Publications

  • Issues in data stream management

    Lukasz Golab;M. Tamer Özsu

  • Processing sliding window multi-joins in continuous queries over data streams

    Lukasz Golab;M Tamer Özsu

  • Profiling relational data: a survey

    Ziawasch Abedjan;Lukasz Golab;Felix Naumann

  • FastFabric: Scaling Hyperledger Fabric to 20,000 Transactions per Second

    Christian Gorenflo;Stephen Lee;Lukasz Golab;Srinivasan Keshav

  • Identifying frequent items in sliding windows over on-line packet streams

    Lukasz Golab;David DeHaan;Erik D. Demaine;Alejandro Lopez-Ortiz

  • On generating near-optimal tableaux for conditional functional dependencies

    Lukasz Golab;Howard Karloff;Flip Korn;Divesh Srivastava

  • Sampling the repairs of functional dependency violations under hard constraints

    George Beskales;Ihab F. Ilyas;Lukasz Golab

  • FastFabric: Scaling hyperledger fabric to 20 000 transactions per second

    Christian Gorenflo;Stephen Lee;Lukasz Golab;Srinivasan Keshav

  • Stream warehousing with DataDepot

    Lukasz Golab;Theodore Johnson;J. Spencer Seidel;Vladislav Shkapenyuk

  • Sequential dependencies

    Lukasz Golab;Howard Karloff;Flip Korn;Avishek Saha

  • On the relative trust between inconsistent data and inaccurate constraints

    G. Beskales;I. F. Ilyas;L. Golab;A. Galiullin

  • Sliding window query processing over data streams

    Lukasz Golab

  • Scheduling Updates in a Real-Time Stream Warehouse

    Lukasz Golab;Theodore Johnson;Vladislav Shkapenyuk

  • Interpretable and informative explanations of outcomes

    Kareem El Gebaly;Parag Agrawal;Lukasz Golab;Flip Korn

  • Data Stream Management

    Lukasz Golab;M. Tamer Zsu

  • Update-pattern-aware modeling and processing of continuous queries

    Lukasz Golab;M. Tamer Özsu

  • On indexing sliding windows over online data streams

    Lukasz Golab;Shaveen Garg;M. Tamer Özsu

  • On Indexing Sliding Windows over Online Data Streams

    Lukasz Golab;Shaveen Garg;M. Tamer Özsu

  • Smart Meter Data Analytics: Systems, Algorithms, and Benchmarking

    Xiufeng Liu;Lukasz Golab;Wojciech Golab;Ihab F. Ilyas

  • Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis

    Arian Bar;Alessandro Finamore;Pedro Casas;Lukasz Golab

  • Data Profiling

    Ziawasch Abedjan;Lukasz Golab;Felix Naumann

Frequent Co-Authors

Divesh Srivastava
Divesh Srivastava AT&T (United States)
Srinivasan Keshav
Srinivasan Keshav University of Cambridge
Theodore Johnson
Theodore Johnson AT&T (United States)
Howard Karloff
Howard Karloff Amazon (United States)
Ihab F. Ilyas
Ihab F. Ilyas University of Waterloo
M. Tamer Özsu
M. Tamer Özsu University of Waterloo
Flip Korn
Flip Korn Google (United States)
Oliver Spatscheck
Oliver Spatscheck AT&T (United States)
Felix Naumann
Felix Naumann Hasso Plattner Institute
Aijun An
Aijun An York University

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