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 research interests include Data for Good and Explainable / Trustworthy Data Systems.
Current professional service:
Associate Editor for SIGMOD 2023 and Information Systems;
PC Co-chair for DOLAP 2023;
PC Member for SIGMOD 2024, EDBT 2024, SIGIR 2023, SSDBM 2023, and ICDE 2023;
Review Board Member for PVLDB 2022/23
1. Explainable data systems (explainable AI / language simplification)
J. Rorseth, P. Godfrey, L. Golab, M. Kargar, D. Srivastava, J. Szlichta, CREDENCE: Counterfactual Explanations for Document Ranking, ICDE 2023, demo paper
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. Social networks
L. Hebert, L. Golab, R. Cohen, Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context, WI-IAT 2022. Tech report here
S. Bryson, H. Davoudi, L. Golab, M. Kargar, Y. Lytvyn, P. Mierzejewski, J. Szlichta, M. Zihayat, Robust Keyword Search in Large Attributed Graphs, Information Retrieval Journal, 23:502-524, 2020
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. 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
5. Educational data mining
V. Salm, S. Chopra, L. Golab, Student success in co-operative education: A comparison of remote and in-person workplace performance evaluations, Int. J. of Work Integrated Learning, to appear
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