Bio:
I joined Waterloo in 2011 and was awarded a Canada Research Chair in 2015.
From 2006 to 2011 I was a Senior Member of Research Staff at AT&T Labs.
I have a BSc in Computer Science from the University of Toronto (with High Distinction) and a PhD in Computer Science from the University of Waterloo (with Alumni Gold Medal).
My recent research interests include decentralized, explainable and trustworthy data systems.
Current and upcoming professional service:
Associate Editor for Information Systems;
Area chair for ICDE 2024;
Steering Committee and PC Member for DOLAP 2024;
PC Member for EDBT 2025, EDBT 2024 and SIGMOD 2024.
J. Rorseth, P. Godfrey, L. Golab, M. Kargar, D. Srivastava, J. Szlichta, CREDENCE: Counterfactual Explanations for Document Ranking, ICDE 2023, 3631-3634, demo paper. Tech report here
K. El Gebaly, G. Feng, L. Golab, F. Korn, D. Srivastava, Explanation Tables, IEEE Data Engineering Bulletin, 41(3):43-51, 2018
2. Bringing order to data (data exploration / pattern discovery / data cleaning)
R. Karegar, M. Mirsafian, P. Godfrey, L. Golab, M. Kargar, D. Srivastava, J. Szlichta, Discovering Domain Orders via Order Dependencies, ICDE 2022, 1098-1110. Tech report here
Z. Abedjan, L. Golab, F. Naumann, T. Papenbrock, Data Profiling, Morgan & Claypool Publishers, 2018
3. Graphs and social networks
L. Hebert, L. Golab, P. Poupart, R. Cohen, FedFormer: Contextual Federation with Attention in Reinforcement Learning, AAMAS 2023, 810-818. Tech report here
L. Hebert, L. Golab, R. Cohen, Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context, WI-IAT 2022, 9-17. Tech report here
L. Chen, L. Golab, Micro-Journal Mining to Understand Mood Triggers, Computing 102(5):1227-1244 (2020). Preprint here
A. Khan, L. Golab, M. Kargar, J. Szlichta, M. Zihayat, Compact Group Discovery in Attributed Graphs and Social Networks, J. of Inf. Processing and Management 57(2): 102054, March 2020.
Preprint here
4. High-speed data systems (blockchains / real-time analytics)
H. Saxena, L. Golab, S. Idreos, I. Ilyas, Real-Time LSM-Trees for HTAP Workloads, ICDE 2023, 1208-1220. Tech report here
C. Gorenflo, S. Lee, L. Golab, S. Keshav, FastFabric: Scaling Hyperledger Fabric to 20,000 Transactions per Second, Int. J. of Network Management 30(5): e2099, September/October 2020. Tech report here
Y. Yang, L. Golab, M. T. Ozsu, ViewDF: Declarative Incremental View Maintenance for Streaming Data, Information Systems 71 (2017) 55-67. Preprint here
M. S. Parsa, L. Golab, S. Keshav, Climate Action During COVID-19 Recovery and Beyond: A Twitter Text Mining Study, SBP-BRiMS 2021. Tech report here
G. Tang, S. Keshav, L. Golab, K. Wu, Bikeshare Pool Sizing for Bike-And-Ride Multimodal Transit, Trans. on Intelligent Transportation Systems 19(7): 2279-2289, 2018. Preprint here
R. Miller, L. Golab, C. Rosenberg, Modelling Weather Effects for Impact Analysis of Residential Time-of-Use Electricity Pricing, Energy Policy 105 (2017) 534-546. Preprint here
X. Liu, L. Golab, W. Golab, I. Ilyas, S. Jin, Smart Meter Data Analytics: Systems, Algorithms and Benchmarking, TODS 42(1): 2:1-2:39, 2017. Preprint here
Y. Jiang, R. Levman, L. Golab, J. Nathwani, Analyzing the Impact of the 5CP Ontario Peak Reduction Program on Large Consumers, Energy Policy 93 (2016) 96-100. Preprint here